Good afternoon, everyone. I am Shibania Huja, and welcome to our Q2 earnings pre-show, live from San Francisco. Now, you've probably heard the SaaSpocalypse story and the idea that AI kills enterprise software. I don't buy it. We don't buy it. What we're actually seeing is the opposite. Consumption is growing at an incredible pace, and customers are unlocking more value than ever before. Now, three customers are joining us today to prove it firsthand. We've got Xero, we've got Lagora, and we've got Repplet. And what's especially interesting is that they're taking different approaches to AI. Now, Xero, going deep with Agent Force. Lagora's employees work with Claude and chat GPT every single day. And with Repplet, they build with Claude code. Now, these are different reasoning engines, entirely different interfaces, but underneath all three is the same trusted foundation, Salesforce. So let's get into it. And first up, we've got Xero. Now, Xero helps small businesses around the world manage their finances. The company serves nearly 5 million subscribers, and that includes accountants and bookkeepers. Now, Xero's been a Salesforce customer since 2014, running on Service Cloud, and now AgentForce. Joining me here in the studio live today, right now, this moment, is Xero CEO Sukindar Singh Cassidy. Thank you so much, Sukhinder, for joining us today. We are thrilled to have you on the show.
Well, thank you for having me.
Now, Sukhinder, how critical is Salesforce to running Xero today? And, you know, not to lead the witness, but put simply, what would become harder or stop working without it?
Well, first of all, as you noted, we have been a Salesforce customer since 2014, and we have scaled subscribers multiple-fold since then, of course. We've also scaled geos multiple times. And we use Salesforce not just as service cloud, but also marketing cloud and sales cloud. So it underpins all of our customer interactions, both outbound and inbound. So it is critical infrastructure for us. And so what would happen if we stopped using it? Well, even before we get into AI, I think our GTM would grind to a halt and our customers would be pretty disconnected from their experience of zero. But it is a very critical part of our tech strategy and stack, including in an AI forward world.
I love that. And so you've got sales, you've got service, you've got marketing. It's almost like the pipes in which all of this rich data is flowing through. And now AgentForce. So talk us through a bit about your experience with AgentForce. What agents have you built? How quickly did you move from this idea of an agent doing work to the agent actually doing real work?
Right. Well, I think at Xero, I think AgentForce has been, I'd say, foundational and instrumental to changing our customer experience in our support area in particular. And there are a couple of things I want to call out because I think they were things that were never before possible at Xero. So Xero is built entirely as a digital first customer support experience. So believe it or not, we've never had call centers. Customers would have to self-service, which is great, on a site called Partner Central, which houses all of our repositories of answers and knowledge base. But there was no way to ever talk to anyone live. And there was no way to get real-time support. And so as the team was building AgentForce or looking at AgentForce and thinking about what we could do with it, you know, real-time support became the critical opportunity. And about nine months ago, maybe 10 months ago, we started talking about what if we could give 100% of our customers real-time support. And I think that the first fear was like, well, if we had an agent, and internally we codenamed this Lucy, You know, and we offered it to 100% of customers would actually, and we were willing to route people to an agent if we could, if to a live agent, if the AI agent could not answer their questions, would we see explosion in staffing costs and volume and even the ability to talk to somebody? Would that blow our gross margins? And instead, what happened, of course, is we set ourselves a goal and Agent Force was the enabler. We built a custom workflow and a custom journey for our customers on the chat bot. We now just call it our customer service agent. We don't call it Lucy anymore. And I challenged the team when they had rolled out to 25% and we're seeing good results. I said, take it to 100. And their fear was, well, what if CSAT's not good enough, what have you? And I said, look, this is an experience we've never had before. For our customers, it is something that hasn't existed and could only exist in an AI world. And so we rolled it out to 100% of our customers just a couple of months ago. We're already seeing, of course, many, many questions answered instantaneously. I think it's a 62 percent deflection rate. We've had over 200,000 interactions, you know, tens of thousands of interactions going on in any given month. And what we have really done is given them the ability to, A, get most of their questions answered instantaneously. For those that aren't, they are able to be routed to an agent. So now for the first time, there is a human talking to them faster than would have previously been possible. And, of course, we've been able to do this while maintaining, you know, what is a pretty high margin, a gross profit or a gross margin profile for ourselves.
And this whole idea, again, CSAT would have been at zero because it didn't exist before. Exactly. So how do you measure something that hasn't existed? Incremental value. And it sounds like this internally named agent, Lucy, is not just stopping at service because now you're starting to build upon the capabilities as well.
Yes, of course. I mean, the capabilities, as you know, once you have an agent and you know it can work for certain use cases, you're going to start rolling in more. So now billing, we don't just do accounting. We do payroll and payments as well on our platform. And so now we can support payroll questions as well. And so, you know, that customer service agent is just getting more and more powerful. And so that has been one of the big Agent Force implementations. There's one more that is worth highlighting, which is our ability to really nurture leads and procure more leads like any business. You know, lead gen is another great opportunity. And here, we've used AgentForce to build an AISDR, and that SDR is taking leads from the website, from accounts and bookkeepers who come in. And it also will re-nurture old leads, effectively inactive accounts and bookkeepers who we want to re-stimulate. We see that we have increased our email open rates 3x with the use of our AISDR. Of course, we are booking more leads than would have been possible previously, and of course, we're avoiding the staffing costs of trying to do this manually at scale. So another really exciting implementation.
I love these use cases because they're examples of something you didn't have before. You didn't necessarily have folks that could call back all these leads, to now you're seeing outcomes. You didn't have enough folks to answer all the calls.
Well, I think you're hitting the key opportunity, right? People always think about what you lose, but what you gain is a level of scale and the ability to have new use cases that previously just simply weren't possible. You just thought about staffing people.
Now, Xero spent more than a decade building its customer data and workflows on Salesforce. Like, this doesn't happen overnight. What has that foundation made possible as you've moved faster with AI?
Well, you've hit the critical word, right? I mean, at the end of the day, Salesforce is, of course, a system of record for us. But it also provides us clean data, proprietary data, customer data, and it also provides the infrastructure around that, security, compliance, all the things we care about because we ourselves are a system of record for small businesses when it comes to the financial operating data. So I appreciate what Salesforce does for us in enabling us to surface clean data upon which to build agents and new journeys in much the same way we do for our customers. We're their critical infrastructure and we built agentic capabilities on top. So I don't know. I think it's hard to have a powerful, you know, ongoing increasing reasoning without, you know, access to great data.
We always say trust is our number one value and it is for a reason so that we can extend that trust to you. Sikinder, I really want to thank you for joining us today. We are so proud of what we've built together and we are so excited to see what's next for Xero. Now, if you're just tuning in, we're talking live with customers right now. The full earnings report starts at 2 p.m. Pacific. And up next, another customer we've got is Legora. Now, Legora didn't just bolt AI onto legal software. Nope, nope. The company was built around it, giving lawyers a faster way to handle contract reviews, due diligence, and legal research. And it's growing rapidly, expanding from roughly 600 to more than 1,500 employees in just six months. Huh, that's interesting. Joining us remotely is David Eckstein, CFO of Lagora. Welcome, David. It is such a pleasure to have you here today. Thank you for joining us.
Thanks for having me, Shabani. We're very excited.
Now, David, Lagora was built in the AI era with no legacy systems, no bad habits, nothing to unlearn. That's pretty special. As a result, what do your employees do differently?
Great question. So I have lived in the SaaS world now for over 15 years, and I can tell you the first seven months that I've been at Lagora have been truly transformational. The clearest tell is how we're organized. We don't have one central organization that you file tickets to. We have a go-to-markets operations team. We have a marketing operations team. We have a product operations team. And each one owns building their first AI workflows for its own function. It seems intuitive, but it's harder to do in practice. The people closest to the work are the ones that build the systems for the work. So let me give you a quick example. A rep at Legora, they don't write their own outbound. They don't even type off their own call notes. That's all automated. What they do is they walk into a partner meeting at a law firm or a Fortune 500 company, and they already know the practice mix. They know the deal history. They know who's in the room because the research was done before they even sat down. This limits the number of ad hoc requests. It also enables them to become more self-service. And we bring this back to the hiring phase. Every single contributor to our organization, they need to demonstrate that they can build their own agents, not do you use ChatGPT. We are a real show me, don't tell me organization.
This is incredible what you've been able to do. And so your employees, they're using Claude and ChatGPT to be these builders every single day. So where does Salesforce fit into that environment? and why is it more important now than ever?
It is the critical system of record. So we moved to Salesforce consciously because at our scale, we needed that enterprise layer. We needed permission, we needed audit trails, we needed governance. And we've been through several generations of frontier models since we've made that move and we'll go through several more. The AI world is rapidly changing, but some things are constant. What can't change every four months is that system of record. Who do we sell to? On what terms? Who should have access to what? If that layer moves, everything sitting on top of it stops being trustworthy. So when I think about Claude and ChatGBT, that's about how people work. Salesforce is what they leverage to get that work done. I'd actually push back on any of the framing that says that that AI layer will eventually replace the system of record. To me, it makes it more valuable because the agent is only as good as the context that you give it, and that context has to come from an authoritative layer. So Lagora is the fastest software company with a sales force to go from 1 to 100 million ARR. We did it in less than 18 months, and we cannot afford to change our CRM again.
No, and David, you're talking about some incredible concepts. You've grown from 600 to over 1,500 employees in six months, in addition to your AR. Everyone talks about AI replacing jobs. This is another angle and another dimension. Your proof point that it doesn't. So what are all of these new people actually doing?
Yeah. So to rewind the clock, January 1st, we have 220 employees in the organization. A few months later, we had 600. Today, we have 900 Legorians. We will finish the year at nearly 1,500 Legorians. So we're going to go from 220 to 1,500 in 12 months. What are they doing? It can be boiled down to three main things. So first, we are investing aggressively in our go-to-market organization, which benefits Salesforce. With over a 70% win rate at Pilot, we need to have our reps be first to those accounts because we can close one of those accounts three out of four times. We're in over 50 markets, and law is jurisdictional. It's very relationship-driven. It's very hard to sell to a customer or prospect in Tokyo or Toronto from a seat in New York. We need real people across our 17 global offices. Second, we are an AI company that sells software. And a lot of the change that we're driving, yes, it's software, but it's also change management. So as a result, we actually have more lawyers inside of the organization than software engineers. We call them legal engineers. Their job is not to do legal work. It's to redesign how a firm's work gets done, given what technology can now do for that organization. That's a role that didn't exist three years ago. and now we're hiring hundreds of legal engineers this year alone. And then finally, and this one is near and dear to my heart, the third bucket refers to the people that are required to scale an organization to those 50 markets. Finance, security, compliance, people, operations. My own function is a really good example of a job AI created, not destroyed. Overall, Lagora sees AI as a capacity expander. In contrast to what you might think, our clients are actually adding more lawyers because they can now take on more work. Our $1 trillion TAM that we operate in, the legal services TAM, is supply constrained. We're seeing more M&A, more litigation, more regulation, more companies being formed. And our 900 Ligurians, we're just getting started. The pie is growing.
Ligurians, that's going to stick. David, that one's definitely going to stick. So, Salesforce. Salesforce is bringing to you that deep, trusted data, but it's actually not just the data. It's the context behind that data. And while you didn't mention it, I imagine there's an element of probabilistic deterministic, but it's also bringing this new way of working, these new roles, like you said, like your own department being an entirely new function that wouldn't have existed before. There seems to be a common theme that we're starting to see, where it's less about the old traditional thoughts around AI and what AI will take away or what AI will reduce and rather build and grow for the future. And so what are you thinking about for the future?
I'm thinking about how the surface area is changing. So when I look at Legora and Salesforce, everyone is logged into Salesforce. But if you're thinking about are Legorians logging into Salesforce in the traditional interface, the answer, it's changing every single day and it's split by roll. The surface area has expanded and it's changed. And as a result, yes, ops and finance absolutely live in the traditional dashboard. But reps likely are not logging into Salesforce in the traditional way. They're logging in via Slack. They're engaging via Slack. And so the surface area is constantly expanding in this new AI ecosystem. Updates go into Salesforce via natural language now instead of typing. Or pipeline reviews are coming directly from the system rather than building slides from scratch. To me, that's wasted mental calories. So AI is handling the busy work. Great, that's AI's job. But the human layer, that's adding the judgment. That's the sales strategy on top. And that is the future of Salesforce and Legoro.
David, keep this up. We're going to have to bring you into marketing because what you are describing so well is this whole idea of headless. It's like you're putting it into real words to say we're decoupling the Salesforce platform from the UI so that organizations like yours can build the way you'd like to. Build what you want, build how you want to. David, I really want to thank you. that's exactly what yours is exactly what an enterprise, a Gentic enterprise looks like. And you've been building AI native from the ground up.
Let's go. Thanks for having me.
Now, folks, if you're catching this midstream, we're talking live with customers now. And the full earnings report follows at 2 p.m. Pacific. Now, for our final guest, we've got Replit. Now, Replit lets anyone build software simply by describing what they want. Can I try this on my son? No, I can't. It doesn't work that way. There's no coding required. The company is scaling fast with an ambitious goal of reaching a billion dollars in ARR. Again, a common theme that I'm hearing from the last conversation in this one. Now, ARR, for the folks that are on the call, that means annual recurring revenue. And they're aiming to do this by the end of this year. Joining us is Replit's chief revenue officer, Ghazi Masood. Ghazi, welcome. It is wonderful to have you here.
Great, great, great. Nice to see you too. Okay, so Replit's growth has been a little bit wild. Your enterprise adoption took off so fast that your old go-to-market systems couldn't keep pace. That speed, it broke a few things. What broke first and why was Salesforce the fix?
Yeah, yeah, it wasn't really what broke first. It was really the scale element, right? So when I got here and knowing how fast We have to go scale and build our GTM teams. It was just a common sense type conversation in order to kind of scale at the pace that we wanted to actually scale at. We needed a hard, robust system. So the question was, yeah, could we have built it ourselves? Sure, we could have. Is that the best use of our time or energy to do it? Probably not. And, you know, I've been a good market leader for many, many years at different companies out there. and I'm a big fan of Salesforce. And the idea of getting a trusted, proven system of record into our ecosystem was the right easy decision for us. So that's what we did. And, you know, not only did it come on board early, it's really the foundation that's going to stay with us as we continue to scale into the levels we're scaling at over the next few years.
I love to hear that. And I love that you've actually called out that you had that contemplation or maybe not really to say, should we build it ourselves? I hear this day in, day out from a lot of folks to say, build it myself. I've got a core business. I've got a core business of doing something. I should probably be focusing my efforts in that core business. And let alone, when you build it out, it's day two. What's the day two implications of building something out, the maintenance of it? So thanks for calling that out. Now, you grew, Replit, from 75 to 300 agent force seats. So 75 to 300 agent force seats speed while you also increased your slack consumption. What gave you that confidence that you could expand that quickly?
Yes, a couple of points. So one, internally, if you look at our global employee base, we're all Slack users. So in addition to growing our GTM team, we're growing as a company internationally, globally, around the world. So we just needed more Slack licenses to help accommodate just our broad employee growth, which is great. We're also starting on the whole Slack code partnership with you all in early stages with that. So the team is pretty excited about that and what's to come with that so the slack usage and growth was just common sense just to scale with our employee base we live in slack every single day um then on the agent force side of the house you know i had to go build a sales organization north of 200 people by the end of this year and looking at global expansion into regions like south america europe middle east asia pacific so we needed to go out and really expand our footprint of users on salesforce and by the way, it's not just the salespeople, right? We also have a BDR function that does both inbound and outbound. So while we use like our classic outbound dialing capabilities and tools, a lot of our systems of record all kind of pull off of Salesforce. So it's extremely important for us just to kind of make sure we have the right capacity of licenses for the folks that we're bringing on into the teams.
That's great. And you're able to adjust and flex as needed with as your needs are coming along. Now, you're also running Salesforce headlessly. And we talked again with our earlier guest, David, on this notion of headless. You've got your own pipeline dashboard that you've built on Salesforce data, and it's feeding directly into Slack. Now, what does that approach make possible for your teams?
Yeah, so the philosophy is we have no shortage of Replit apps that we're building on top of Salesforce. And they're everything from, like we have our own CPQ, which is our order from generator, which basically pulls out of Salesforce. We have our own revenue dashboard that we actually run our business off of. We have our own forecasting application that our reps actually forecast their deals off of Salesforce. We also have our customer health dashboard that we actually call, which is like a Gainsight equivalent, right, that we actually go out and build on top of that. So we have no shortage of it. And our philosophy is, while Salesforce is important as our system of record and that's where all the data harnesses we want to go out and build the ui layer utilizing replit because we're familiar with our processes we're familiar with the look and feel we're familiar with kind of our culture and we're building those across the team so in my rep ops organization we actually have two functions um the classic name is go-to-market engineers but we call them like ai engineers and they're basically tasked with all of the tooling that we want to go do that pulls off of Salesforce. So while Salesforce is in the background, the idea is no one's really touching it. It's kind of, you know, they're hosting the data, integrating with their data warehouse, and then everything on top of that is a replet application.
So it's, again, a common theme that I'm seeing come through in all of these conversations is Salesforce, use it as you wish. It's composable parts. We work well in the ecosystem with other technologies that you have or coding tools. And the other thing that you just talked about is a new role. It sounds like AI engineers, this idea that you've got new types of roles coming up into your organization. Maybe talk a bit about that.
Yeah, absolutely. I mean, you need somebody who is really good at dogfooding, who's really good at having the build versus buy type, common sense type conversation, and really coming up with a catalog list of libraries, right? The crazy thing is like in everybody at internally at Replet Dog Foods. And what that creates sometimes is, you know, duplicative applications and stuff that, you know, is happening out there. So putting that into a catalog and making sure that we actually have a source of truth of all of the value-added applications and what we can automate and what actually makes sense is like extremely important to us. So that's really what this role, you know, allows us to go out and do. And these people that we're bringing on board, I mean, they're just passionate about building with AI and tooling like this. So this is kind of what they live and breathe every single day and in the early innings, but we've seen just tremendous productivity in a very, very short amount of time.
And is that building that they're doing, is it happening? Like, again, I'm having these conversations with customers where this was traditionally just functions for technology roles and technology departments, whereas now this notion of citizen development where we want everyone to be a builder, is that a bit of what's happening within your organization?
Absolutely. I mean, so everybody, irrespective of the roles builders, right? So if you look at myself and my team, we're all non-developers and non-engineers. We're all builders. You look at people in the finance organization, they're builders. You'll get people in HR function, they're builders. So everybody is building because the tools and capability of applications like RepoEd and others really allow people with zero coding experience and knowledge to go out and bring their ideas to life in a very, very short amount of time.
And being able to use natural language to really just be able to describe, very much so in line with your organization. So what's next? What's next for you?
Well, next is to get to a billion dollars. That's a big priority. A lot of hiring to go do. We're opening up some big international markets. You're going to see us make a big presence out in Europe during Liberty Week. That's been out on social. So if you're out in London, come see us. We're going to be making a big splash in London. And then after that is Japan and then Latin America. So we have a lot of growth to go out and do. a lot of hiring and big aspirations, and keep an eye out on our launches because we ship at just amazing velocity and speed, and you're going to continue seeing some amazing announcements from us as we close out the year.
I am looking forward to following you for many reasons. One is just all of the incredible development that you're doing. I think it's very applicable even to what we're doing. But I hope you're okay with time zones with all of that, all that jumping back and forth.
I am. Yeah, jet lag to me, unfortunately, does not bother me these days. so we'll see how it goes.
You just adjust. Well, Ghazi, I want to thank you for taking the time to join us today. We really, really appreciate that. And good luck with your expansion. It's very exciting.
All right, folks, that is Replit, moving super fast, AI native, chasing, you heard it, a billion dollars in ARR by the end of this year. We love to see it. The sky is the limit. There you have it, folks. Xero, Logora, Replit, three extremely different companies, three extremely different ways of approaching AI. But here is the through line. None of them are throwing out their enterprise software. No. In fact, they're using it more, building on it. They're unlocking value where they've never had it before. So much for the SaaSpocalypse. That concludes our pre-show. stay with us though. The full earnings broadcast, it starts now. agents.
We're going from the dumb software era to the smart software era in real time.
Your AI business is actually going to be doing a billion dollars in sales.
Oh, it's over that already. Jim, agent force of data 360 growth is just incredible.
Speaker 0
When we're working with Salesforce, it feels like we're right at the front of the pack.
None of this stuff works if you don't have context when your data is connected now you have a foundation data is everything for an agentic enterprise this is where your intelligence is multiplied agents that reason with the full weight of the business behind them every function every industry the u.s government is our largest customer And this is where it gets really interesting.
Today, we are going to show you Salesforce Headless 360. This is the powerful moment. Headless 360 is a huge opportunity for us. The entire Salesforce platform is now available to any agent. We can actually pull data into our own components as we see fit.
We meet the customers where they're at. To customize your experience and your interface.
And that changes everything. because now context is connected when you think big you need to keep it simple slack is the point of entry the dashboard for the worker of tomorrow today i'm really excited to tell you about the launch of slack code with purpose-built spaces for teams and ai agents to build together directly in slack it's the new front door to the authentic enterprise with anthropic yesterday we made Game-changing announcement.
We launched Claude, Tuck, an agent, the seat in a channel as if it were another teammate. This is transformational.
What's really exciting is now we're taking our partnership to the next level. The number one AI meets the number one CRM with ClaudeForce.
Now you can just ask, which deal needs my attention? Because Claude is connected to Salesforce, it doesn't have to guess.
Salesforce was the one company that had all the tools in the toolbox.
Humans and agents in the same feed where all of your data comes together coordinating in real time. Sales, service, marketing, commerce. Every signal, every customer, every conversation. Unified, governed and trusted.
The speed and growth of a company of this size and software has never happened before. It's incredible.
Operator
At this time, I would like to welcome you to the Salesforce second quarter fiscal 2027 conference call. This conference is being recorded, and all lines have been placed on mute to prevent any background noise. After the speaker's prepared remarks, there'll be a question and answer session. At this time, I would like to turn the call over to Mark Murphy, Executive Vice President of Global Investor Relations. So you may begin.
Good afternoon, and thanks for joining us today on the Fiscal 2027 Second Quarter Results Conference Call. Our press release, SEC filings, and a replay of today's call can be found on our website. Joining me on the call today is Mark Benioff, Chair, CEO, and Co-Founder, and Robin Washington, Chief Operating and Financial Officer. We also have Patrick Stokes, President, Applications and Marketing, and Miguel Milano, President and Chief Operating Officer, joining us for the Q&A portion of the call. Some of our comments today may contain forward-looking statements that are subject to risks, uncertainties, and assumptions which could change. Should any of these risks materialize or should our assumptions prove to be incorrect, actual company results or outcomes could differ materially from these forward-looking statements. A description of these risks, uncertainties, and assumptions and other factors that could affect our financial results or outcomes is included in our SEC filings, including our most recent report on Forms 10K, 10Q, and any other SEC filings. Except as required by law, we do not undertake any responsibility to update these forward-looking statements. As a reminder, our commentary today will include non-GAAP measures. Reconciliations between our GAAP and non-GAAP results and guidance can be found in our earnings materials and press release. Before turning to our prepared remarks, Mark and Dario just announced Cloudforce a few minutes ago live on CNBC. Let's roll the clip.
This is really the best of both worlds. This is the number one AI in the world, Anthropic, and the number one CRM, Salesforce, coming together for the first time in an incredibly powerful way to build a new product called Cloudforce.
It's really a first in industry jim we've never seen anything like it it's completely exciting i think that this is the way all enterprise systems are going to run in the future we've found that this this combination product that we've built together is is the most useful thing in accelerating it you know within anthropic for a long time we've been accelerating the research teams within claude but but this is the first time that we've really been able to incredibly accelerate our go-to-market efforts within Claude. And we want that for all the other enterprises. And me and Mark want to bring it together to everyone. We've already worked with Salesforce in a number of ways. We're big users of Salesforce. Salesforce is big users of Claude Code, of Cowork, of other tools. We've put products like Claude Tag in Slack already, which is a part of Salesforce. And now this combination is a way to gain something that's, you know, it's one plus one equals three, something that's bigger than the some of its parts my chief commercial officer was just was just demoing this for me with some of the internal stuff we do within Anthropic just just just half an hour ago where he asked you know what are the biggest accounts that Anthropic is trying to close now like give me a list of the biggest accounts talk me through the risks of each one all the data all the information comes from being managed in Salesforce but the the conversation the interaction that comes through Claude and so So you can see how these two things can be more than the sum of their parts.
Why this is exciting is it's a perfect complement. Anthropic builds this amazing model and now the model has this incredible user interface co-work. And when you take co-work and then you're able to put it right on top of Salesforce, it's able to bring the data, the applications, the semantics, the agents themselves and build complete applications, a total user interface to let you get all the value out of Salesforce that's been trapped. So customers have put hundreds of billions of dollars into Salesforce. You know, there's a huge amount of value that can be unleashed through this combination.
And with that, let me hand the call to Mark.
Well, thanks so much. I'm really excited to have the call. And it was great to be on CNBC with Dario announcing Claude Force. We're going to get into that in more details as well. And before I get into all of that, though, I really want to start here at the beginning and talk about the Sassbocalypse. You know, I think you can see from the results, net new AOV growth, it's the strongest in four years. You know, skeptics really said that seats would decline and also that agent for sales and service and slack, all seats grew year over year. Skeptics said customers would leave, but attrition was near its lowest level ever. Skeptics said pricing power would erode and A1E and A4X bookings more than doubled quarter over quarter. And contract length terms improved across all segments and new business and renewals. And agent, agentic use, well, use of the platform, it surged six X, six fold via model context protocol calls and CLA calls Apps are not dying. In fact, they're growing. And nine of the 10 AI companies, like you just heard from Anthropic that's standardized on Salesforce, use Salesforce and Slack. Their spend is up 435% year over year. Frontier models depend on CRM. They make sure that it works, that it all comes together, they not replace them. Let me start from the beginning of my script and actually read my prepared remarks for you so you can really understand our vision for the future of where Salesforce is now, where we're going, and we cannot wait to get all of you to Dreamforce because we have some incredible things to show you. Look, we're here in Salesforce Tower in San Francisco. I want to welcome all of you, and I'm thrilled to share the tremendous progress we've made and the momentum we're seeing across the business. As everyone can see, we just had one of the best quarters ever, and we outperformed on all of our key metrics. And as I just went through in all these key metrics and these key areas, this nonsense of this SaaSpocalypse, I think it's time for it to stop. That's why I'm so excited about Cloudforce as well. It really shows how we're bringing together the world's number one AI and the number one CRM. It's really the best of both worlds. We're combining Cloud's extraordinary intelligence and reasoning with Salesforce's trusted data and applications and workflows and business rules and governance. And while Cloud might have been, for example, for developers, now it's also for knowledge workers. And when you do that, you get something the world has never seen. This is a dynamic, deeply personalized interface that thinks, reasons, and acts. It's a truly game-changing experience for our customers, and I'm going to get into the highlights from the quarter, but before I do, I want to just tell you one quick story, and I'm going to get into more details on this. I just spent two months in Europe, and I had an exhaustive schedule. I won't go through all the detail, but I've never met with more customers in my life, and I was with one of our very largest, probably our largest customer in Switzerland. And I was sitting there with them and we went through and they spent maybe, I don't know, they, you know, they spent more than a billion dollars for sure with Salesforce. Yeah, they spend about a hundred million a year with us. And I'm talking with them and it's a great meeting. It's three hours. And then at the end, we're like, no, I want to show you this thing. We haven't shown it to anybody yet. And we'll show them Cloudforce because the head of all of our operating units have been using Cloudforce to run their businesses inside Salesforce this quarter. It's one of the reasons why we're getting such great performance. And all of a sudden, literally, I could see the customer's mouth just dropped open because it was astonishing. They were seeing that we were able to reveal this value that had been trapped in their systems, okay, right into this dynamic user interface. And they weren't having to hire all these FTEs and all this stuff to get it going. It was building these apps on the fly for them using the foundation that they had spent two decades building with Salesforce. Now, I want to get back to the quarter. We had record revenue in EPS, strong margin performance, CRP accelerated. It was up about 14%. Look, we generated $1.1 billion in free cash flow. That was up 81% year over year. I'm going to come back to that in just one second. And our AI business, just incredible momentum. Agent Force ARR, it hit one and a half billion. Our ARR for AI and data is about to cross four billion. Really helps, I guess, that we have 15,000 pure account executives. Huh, Miguel? And the number of accounts with agents in production grew 70% over the last quarter. We had great wins with Deutsche Telekom, met with them when I was in Europe, FIFA, met with them, NTT Data, I met with them, Cisco, all expanding their AI investment with us. Great companies, by the way, great visions for the world, and really exciting executives leading their companies who have tremendous vision for what they're going to do with their company using this new technology. And we also completed a multi-billion dollar agreement contract expansion with the U.S. Army. The Army Human Resource Command expects to drive up to 55 million agent force conversations every single month. Amazing. The secretary of the army took me aside and said he finished recruiting four months early because he was able to use not only the power of all of his human agents, but AI agents as well. That was the army being all they could be. And I'll tell you, we're expanding into markets and seeing an incredible success. We launched AgentForce IT Service in November, and it already has more than 450 customers, including NYU Lagoon Hospitals and McAfee, you know, conversions from ServiceNow. I think that's very exciting, you know, that we can see that more companies coming into our platform, and as they come into our platform where we expand it to be not just sales, not just service, not just marketing, not just commerce, not just analytics, but also IT service and other critical functionality, all of that can be revealed and now rendered through the AgentForce user interface. The more that's in the platform, the more Cloudforce is going to be able to deliver for it. Now, Agentforce Life Sciences has more than 140 customers, including all top five pharmaceutical companies. And Agentforce Ops is helping companies like Kellogg's and Dell turn manual back office work and supply chains into agentic workflows. That's the Regrello platform we bought now more than a year ago. It has the ability to deliver and render for a company red, yellow, green on their supply chain every single day. For Dell, they have 20,000 suppliers. And why that's important is we see supply chain as one of the very first applications. So many companies are actually revising for AI because it gives them the ability to actually look into something and do something with an area that really has not moved forward for in decades. With this strong performance and momentum and the strategic acquisitions, especially Contentful and FIN, we're expecting to close in the coming weeks, and we're raising our fiscal year 27 revenue guidance by about $300 million in constant currency. Now, what's driving all this? Well, it's a fundamental shift in the software industry. AI is unlocking value, as I said, across every part of our platform. AI is able to look into the platform and say, hey, I can see this application construct. I can see this user model. I can see the sharing model. I can put all of this together and deliver value in a totally new way. I've never seen a moment like this in my life. But for our customers, the question isn't whether AI is transformative. It's actually how they get there. And I want to talk to customers every single day. That's why I was in Europe. Most of them have not started their AI transformations yet. If you talk to most CEOs, they may say they have a project or they have a failed experiment or they were told to build a model but it didn't work out for them. That is not AI transformation. We're going to see AI transformation and you're really going to see AI transformation when you start using Cloudforce. And the reason why I feel so strongly about that is I've seen it here at Salesforce. For our operating unit leaders, when we gave them Cloudforce, they came back to us and said, I built this app. I did that. I did this other thing. That was so exciting. They built their businesses on not just a few core systems. They're not going to just rip out how their company just runs to get to AI. They want intelligence delivered inside the software they're already using to run their business. And that's what Salesforce, that's what Cloudforce is going to do. So I show them Cloudforce. I show them reasoning across their Salesforce data and workflows. I can show it right inside Cowork. I also show it right inside Slack. One click to deploy and their path to AI transformation just opens up in front of them. It's pretty incredible. It's a great experience as a software executive to see the customer's, you know, reaction. And this is what we're building with our new enterprise harness. So this new enterprise harness AI force, you're going to hear a lot about this at Dreamforce. First, you're going to hear a lot about our data layer. You're going to hear a lot about how we've invested in the federation and integration and harmonization of data. You know that's why we bought MuleSoft. It's why we bought Informatica. It's why we built Data360. You're going to hear about our application layer. of course, sales, service, marketing, commerce, you know, analytics, as I just said, supply chain or ITSM, all the different components, field service, all in the application layer. In that application layer, then the agentic layer on top of that, and then finally the interface layer. These four layers, data, apps and semantics, agents, and interface, when it's turned on together, that is when you start to see the true enterprise transformation. And I'm confident that when you come to Dreamforce for your own company, since so many of them are already on Salesforce, you're going to see how you are going to be able to transform as well. Now, let me show you what this looks like for Athena Health. Every time someone needed a case summary or opportunity insight, they had to ask IT to run a report. So they used Data360 to bring together all the product usage and account data from across their systems to create a single source of truth. Then with AI force, this new user interface harness that sits on top of our core systems, they've connected all of it to their AI complete with the context and the permissions that already lived in Salesforce. Now employees across every level can get instant answers from real Salesforce data from real Salesforce metadata, and all of the sharing models and security models. And all of this, all of this is done with zero data retention. That means no data goes to any model. It all stays in your company. We started engineering that in 2023. We have been perfecting it over the last three years, and we audit it, and we are sure that that data is staying with you. Without ever opening a browser, the usage and the value they're getting with Salesforce is going way up. This is the future of enterprise software. And I'll tell you what it's not. This is not the cesspocalypse. This is not the cesspocalypse. As I said earlier, you know, we've been hearing about this for the last two quarters. These dire predictions about the end of software and how the models eat everything. But none of them have come true for us. And I don't think I don't even understand how they could possibly come true. Look, models, you have to remember. Models are probabilistic systems. They're non-deterministic systems. But our system, our system, those four layers that we talked about with data and apps and semantics and agents, those are deterministic systems. But when you put those two things together, that's a level of value we've never seen before. We've been told our growth would slow, that net new AOV growth would not, you know, continue to grow. And yet it's the strongest it's ever been in four years and significantly outpacing AOV growth. And by the way, did you know that Salesforce, Salesforce has higher free cash flow, higher free cash flow than Costco, Coca-Cola, Home Depot, Ford, Disney, Pepsi. Oh, we also have higher revenue growth rates than Costco, Coca-Cola, Home Depot, Ford, Disney, Pepsi. By the way, all of them are great Salesforce customers too. I love all those companies and all those COs. But we have higher free cash flow and higher growth rates than them. I just think it's important for speaking directly to the analysts who cover us to actually look and compare our business metrics against those others so you can really see what we do and how we're doing. Our seats were supposed to decline. Instead, Agent 4 sales, service, and Slack all saw year-over-year growth, and we were told customers would abandon us. But attrition is near its lowest level ever. I know that you know that because you're calling all of our customers asking them. So we're told customers would pay less for our products, but what Miguel was about to tell you is they're upgrading. And A1E and A4X bookings, they more than doubled quarter over quarter. We're told contract lanes would shrink. Well, they improved across all segments. And we're told agents accessing our system would kill apps. Well, actually, usage is exploding. Agentic use of our apps through model context protocol calls and CLI calls also surged sixfold, six X. And we're told the frontier models would eliminate the need for CRM. Instead, they depend on it. And we're showing how one plus one can equal three. Nine out of the top 10 AI companies in the world use Salesforce and Slack. You know that. You're talking to them, companies like Anthropic, for example. Well, these companies, these nine out of 10 top 10 AI companies, they've increased their spend with us by 435% year over year. Look at that great company, Repl. You saw them in the pre-show. It's an amazing company. Their sales team lives here in Slack with Salesforce as their source of truth. They've tripled the number of agent for sales seats. They're building custom maps that connect directly to Salesforce data and workflows. It all works together. By the way, Replit is a great tool on Salesforce. As you can see, AI isn't replacing Salesforce. It's unlocking more value across all four layers of our platform. Again, across the data layer, the apps layer, and the semantic layer, the agent layer, and the interfaces. Now, we all know that if your data is not right, your AI is not right. I've seen that over and over again in customers where all of a sudden we'll go in and try to show them some magic and all of a sudden we'll go, well, are you really paying attention to your AI because your data quality doesn't seem to be exactly right? Well, all that data inside Salesforce now provides hundreds of petabytes of critical contacts so agents can actually understand your business. We're doing more to help customers clean up their data, to make sure that it's well harmonized, to make sure that they have the right level of data cleansing, building the right data warehouses, then our apps, well, they can be more valuable than they've ever been. Because now they don't just run your business, they're running all of your agents as well. Think about it. There's more data inside Salesforce than any human can comprehend. A human works one record at a time. An agent works around the clock. It sees everything, not one thing. It reads across millions of records to find the perfect opportunity, forecast the quarter, and close cases. We know we've been using these models now for almost a decade. For a decade ago, I would sit in my staff meeting and I would ask Einstein, tell me how is the forecast going to turn out? And in many cases, it knew more than our folks. Why? Because it's able to see everything. So here's another great example, Uber for Business. They've got 30 onboarding specialists and a mountain of inbound leads nobody was ever going to reach. Their rules, their workflows, every deal that's ever gone through them. They've used Salesforce since the start of Uber, and all of that lived inside Salesforce. Now, this is how they sell. So they just pointed agent force at the pile, got to work, looked at their whole history of their whole company, all the institutional memory, everything that's inside Uber, now six weeks to launch within two weeks, 60% more leads and converting. This is that power. We're introducing hundreds of packaged agents that understand your business and industry right out of the box. So they can start delivering value within days, not months. And now with AI Force, we're bringing all that to any interface. This is the magic moment. People don't have to come to Salesforce to get work done. Salesforce comes to them in Claude, in Slack, in ChatGPT, in Teams, wherever they want to work. And it's a shift from software as the interface to software powering every interface. Of course, this is already happening in Slack, which had a phenomenal quarter. It's the best acquisition we ever made, regardless of all the financial analyst reports that I read about six years ago when we bought it. We won't go through the details. It's water that's now all under the bridge. But let me just say this. When you look at Slack today, it is where work happens, and it's where these AI lives and can do things. And not only is it where human work happens, now it's where you can build together, too, with Slack codes. AI isn't trapped in a single-player chat window. It's a teammate that works across all your people, finding the right agent, the right action, all in the flow of work, fueled by all the enterprise context that lives in Salesforce, the conversational context in Slack. Companies like Anthropic, OpenAI, Lovable, Replit, on and on and on. I think there's more than a million companies on Slack now, are all building their agentic products directly into Slack because Slack is where their customers want them. And Slackbot is our fastest adopted AI product ever. Five months after launch, it's got 1 million active users, up 150% quarter-a-quarter. If you don't have Slackbot turned on in your Slack instance and you're not using it every day, you are really missing out. It has the ability to read across all of your Slack data, and you are going to have insights into your business you just were not able to have before. It just makes you a better executive. Robinhood's a great example of what's happening. Robinhood needed AI adoption across its whole workforce, not just engineers. So what Vlad did was he put AI inside Slack, the place where the entire business comes together and connects to Salesforce, Google, Okta, and other systems. And now any employee can use Slackbot to surface past decisions and conversations, solve problems without engineering support, and Slack isn't just the best place to work with AI, it's also the best place to build with AI. We just introduced Slack Code, a shared space for teams of agents and humans to build together right where they already work. So when you combine Slack Code with Slack Bot, it becomes an incredibly powerful multiplayer IDE. Okay, well, as you can see, across our whole platform. We're redefining how our customers build, deploy, and scale AI. And we have a very special guest today on our earnings call. And our friend David Friedberg is here. He's got this great next-generation bioengineering company, Ohalo. Welcome, David. Fantastic. Welcome to the earnings call. Great to have you. And they're changing how we feed the planet with a breeding technology that It boosts crop yields by 50%, maybe 100%. He already sent me a can of seeds. I don't know if I'm allowed to talk about what I got or not, but it was pretty awesome. And I'll tell you, David had chosen a CRM product when he first started Oholo. And how does it pronounce? Oholo? Mahalo?
I should ask you. It sounds like a Hawaiian word.
It sounds like, but it's not. It's based on an important, actually, part of bioengineering history, right?
Yeah, well, there was an agricultural find in the Sea of Galilee where they found this old pot of seeds, 20,000 years. So it kind of rewrote what we thought about the history of agriculture and plant breeding. So we named it after that little village.
Well, yes, you're right. It sounds like a Hawaiian word, but it's not. And I know that you started with another CRM product. We won't talk about what it is, but I remember when you called me and you said, you know, well, maybe I'll try to vibe code this whole thing, whatever. And then a few months later, it turns out you're – Well, we did a little vibe coding.
I did a vibe code to make a CRM product over the weekend. And you quickly realize just how much it takes to do maintenance, to do accounts, to do security. There's just much more to it. And we realized pretty quickly there are certain, I would say, software applications that are maybe verticalized where you have to build custom workflows that make sense for your particular business. But then there's platform software. And platform software, we realized pretty quickly, is really what we need to build our entire company around. And Salesforce is what we kind of decided to go with on CRM. We're already on Slack. We're not going to go vibe code Slack. We're not going to vibe code CRM. But then we build custom workflows, custom interfaces, custom prospecting tools at my sales teams. I've got agents that are out scanning public county databases, trying to find where farmers are planting what crops, what their names are, what their contact info is. I've got agents doing all sorts of prospecting. That interface gives my sales team leads that integrates with Salesforce. They can then go run the standard workflows that are a little bit more standardized across verticals, and we can build all of our custom workflows in parallel and in concert with the Salesforce tool.
Well, it's been very exciting, and I'll tell you, I'm thrilled to have you as now a large Salesforce customer. One of your smarts, but yeah. Well, I would say large in terms of presence, in terms of, you know, everybody knows you now, Dave, because your podcast is so popular. The number one podcast in the world is what I heard. In San Francisco, for now. Well, what I want to know is this. So when you do think about the future and you think about your company and, you know, bringing the best of AI and the best of, you know, CRM together, you know, how do you plan to do that?
Again, I think it goes back to this point about where do we create value? I'm not going to create value as a business by doing something that everyone else does. If everyone else is using Microsoft Excel, I'm not going to go build Microsoft Excel. If everyone else is using an ERP tool, you know, we integrate with NetSuite, and I know that you guys have an integration with NetSuite. We're not going to go build an ERP tool, and we're not going to go build Slack. We're not going to build communications and messaging. We're not going to build CRM. We're going to build custom interfaces for doing plant breeding. We're going to build custom interfaces for prospecting customers. We're going to build custom interfaces for selecting the right product for a farmer based on my satellite and radar imagery that shows me what that farmer's field is going to look like next season, making an estimation, and then making the right product selections for him. So the interface to do that for my sales team, for my customers, that's where we add value. And then the actual following up with the customer, connecting with the customer record, making that transaction record, storing it, that needs to be done safely, securely. it needs to be done with the right account settings, the right access, that's what we're not going to go build. And that's really where the partnership works. Now, when we make a selection, it has to be a selection with standard, you know, platforms that we can work with, that integrate, that have the integration capabilities, that have the ability to service and support. I'll give you another example. Just internally, we use Slack, right? That's our primary communication messaging tool. And in Slack, we've got an Ask HR channel now. And so, So we basically use Claude to set up an Ask HR channel that anyone in my company can ask the HR questions that they would normally spend time calling up the HR people saying, hey, I got this question, I got this question. Ask HR has access to all of our internal HR documents. And it knows who you are, whether or not it can access your personal information, it knows standard benefits policies, and it could just answer all your questions for you through Ask HR. I don't need to go build a communications tool to do that. I can leverage Slack, and I can leverage Claude to deliver that internally. It's another good example of kind of the sort of thing where we can build something custom using our internal benefits, our internal HR policies, but then we can leverage the platforms and Claude to deliver that.
Okay, now because I'm a competitive person, I have to ask you this last question, which is kind of where I started. You know, this all started because we were just talking on the phone about something else, because we're personal friends, and all of a sudden you said to me, yeah, I'm using the CRM product, and I'm turning it off completely. I'm not going to use this product anymore. And then I was like, well, why? You know, so can you just tell us the story? You had already invested in the CRM platform. You know, this is one of our competitors, but you decided not. Now, you don't have to tell us who it was, but what are some of the features and functions that you saw in Salesforce that then gave you this ability to achieve all this productivity that you so badly desired? I wasn't sold.
As great a sales guy as you are, I wasn't sold in our first conversation. I was still pretty reticent. I'm like, Mark wants me to do this. I'm going to do it for Mark. But I'm not sure. Okay, this is what I told my team. And there's a guy, great guy named Ben. Ben works at my shop. And Ben used Claude. He used Cursor. And he spoke to your Salesforce guys, stood it up. And what took us months of going back and forth trying to customize this other CRM tool and build the application and workflows around it that we needed we were like pulling our hair out we're like let's just build it all from scratch and that's when you and i talked so ben used claude and cursor got into um salesforce and was able to get everything stood up in under a month and so i wasn't sold until we did it and then i was like okay uh i'll give mark credit at this point and maybe we should you know send him a check and pay for the product but But, yeah, I would say that was the – By the way, that's been a huge – You're a great marketing guy, but the product and the capabilities – Thank you, David. I appreciate that. Yeah, that sold itself, actually. Like when we got in there – and Ben was able to do this in under a month. And he told me he did the whole thing in under a month. Just Ben. And he ran the whole thing.
And I think that has been the huge shock for us that, you know, these new next-gen tools, the cursors, the replets, the clods of the world, make our product better. That all of a sudden it can customize the data, the metadata, set up the preferences, do the administration, do things that maybe you needed, you know, a bunch of service folks to kind of do. Now, all of a sudden, you're getting going in a month. Maybe it might have taken you before six months to a year. All of a sudden now you're fully automated. And your ability to add new functionality and do new things, this has provided this kind of very strong platform. And as I said, it's a deterministic platform. And while Cursor is more, you know, non-deterministic and more probabilistic on the front end, it's helping you to administer it, maybe starting to build new screens for you, analytics, but nothing is going to be better than having this solid foundation.
I was probably early on the SaaSpocalypse train, as you know, because I know you listen to my show, and I always said, like, I think SaaS was this temporary phenomenon between the founding of the Internet and the start of AI, but I think that it's a little more nuanced than that. it's probably this verticalized sass where you try and standardize a vertical on a bunch of workflows which actually destroys value in that vertical because everyone's now doing the same thing in the same way so no one can differentiate in that vertical we've actually dumped all our vertical software verticalized software we make all of our verticalized sass in-house but the horizontal the platform salesforce standardizing on slack this is really where i think we've realized that's not that's actually going to get bolstered and it's more valuable with all the other capabilities we can now build around it. So, you know, I'm definitely sold in that sense. I don't think, I think there's still a SaaS-pocalypse, but with a lowercase s rather than the uppercase s for verticalized tools, where I think AI really allows you to rebuild something that's unique, which creates value for your business in a vertical. Rebuild it on Salesforce. Yeah. Yeah, that's right.
Great. Thanks so much, David, for being with us.
We really appreciate you coming in today.
Thank you. Thank you very much. All right. We're so thrilled to have David here, and we're so grateful to have him now as our new customer. And I just thought everyone would love to hear that story because I think as everybody has heard, David has been wondering, you know, how will he use enterprise software in his new company? Where does he achieve that productivity? And I've just never been more excited about our future. The scale, the opportunity in front of us is extraordinary. You're going to see it at Dreamforce. Not only are we going to have great entertainment, probably the best entertainment we've ever had, so can't wait to announce that, But also, we've got probably the best products we've ever had. And you're going to see it in just a couple weeks. It's going to be a huge accelerator for Salesforce, for all of our customers. We're going to bring 50,000 people here to San Francisco and show them some unbelievable capabilities. And we're going to show you some of the most exciting, transformative technology we've ever built. It's the future of enterprise software. And I'll tell you, we're deploying it, not just for the Army or for the IRS or for all 15 of the major U.S. agencies, all these incredible new customers that Miguel has signed up from Uber to Deutsche Telekom, you know, to FIFA, you know, you're going to see not only meet all of them, but you're going to see an incredible lineup of speakers at Dreamforce. And yes, Dario is going to come there. He's going to be in my keynote. You're also going to see Sam there. Jensen's going to be there. Actually, all the major AI leaders are going to be there. David is coming. He's bringing all of his friends. And you're going to see how great companies like Amazon, NVIDIA, F1, L'Oreal are bringing humans, agents, platforms together to connect with customers in new ways that were never possible before. We're looking forward to seeing you all there. And before that, we've got you, Robin.
Thanks, Mark. Appreciate it. Your enthusiasm is infectious. So I'm going to go with a bit speedy here because we want to be sure that we value all of your questions and want to be sure that we can tell you everything we can about the quarter. First and foremost, we delivered a record second quarter. AI is amplifying the value of our platform. This isn't just a technology shift, as you've heard. It's a reinvention of how our customers work, and it is fueling our growth. So I want to take you through a few of the proof points. It starts with our operational focus on net new AOV, which is driving our re-acceleration. Exceptional Q2 bookings, along with near-record low attrition, drove our Q2 CRPO beat. Half one net new AOV growth significantly outpaced AOV growth, keeping us on track for second half organic revenue re-acceleration. Contract length terms for new business and renewals are increasing across all segments. Slack continues to shine. Q2 Slack net new AOV was the fastest quarterly growth since acquisition. AI innovation across our platform is delivering measurable value. Agent Force ARR reached $1.5 billion, as you heard, driven by Slackbot and headless launches and continued AI momentum. Upgrades to our premium Slack additions have tripled since we launched Slackbot. Our consumption flywheel is turning. AWUs continue to scale as customers drive agentic use cases across the platform. In Q2 alone, customers drove 3.2 billion AWUs up 97% quarter over quarter. And Slackbot users were up over 150% quarter over quarter. With this clear demand, we are making it even easier to adopt. Our premium bundles give our customers access to our innovation in real time. Bookings from Agent Force 1 edition and Agent Force for apps more than doubled quarter over quarter. Headless takes this even further, bringing Salesforce to the surfaces where teams already work. Slack, Cloudforce, and with AI Force, many more to come. MCP and API usage grew significantly in the quarter as customers embed Salesforce intelligence, the data, metadata, and semantics directly into their workflows. You can see the momentum in our results from the quarter. Q2 revenue came in at $11.35 billion, up 11% year-over-year, above the high end of our guidance in constant currency, driven by continued momentum in Slack and agent Force, and we continue to accelerate Informatica's business. Subscription and support revenue was $10.82 billion, up 12% year-over-year in nominal and 11% in constant currency. Our top-line performance reflects the breadth and resilience of our portfolio. Agent Force apps delivered solid growth, anchored in momentum in Slack and resilience in sales and service, with early signs of recovery in marketing. While it is too soon to call this a sustainable trend, we're very encouraged by the success enterprise customers are having on our next-generation marketing product. Headless platform, Data360, and other growth was fueled by continued momentum in Informatica and Data360, partially offset by license revenue headwinds and volatility in integration and analytics. CRPO accelerated quarter over quarter with $33.5 billion, up 14% in constant currency. That's one point ahead of our guide, driven by strength in Slack, AgentForce, and Data360. Our continued focus on operational discipline is evident in our profitability. Q2 non-GAAP operating margin was 34.1%, and GAAP operating margin was 20.5%. As customer zero, we are putting AgentForce to work across our own business. Salesforce's Help Agent has surpassed 5 million customer conversations with 64% resolved autonomously. SlackBot is driving 8.1 million hours of annualized productivity gains for our employees. That's more than double, quarter over quarter. We generated $1.1 billion in free cash flow. That's up 81% year-over-year. Execution of our $25 billion accelerated share repurchase continues. We expect to repurchase at least 14% of shares outstanding through this program, thus far at an average price of $176 per share. Our responsible capital return strategy underscores our conviction in our future. So turning to our outlook for the year, I want to walk you through the components of the $300 million constant currency raise to our revenue guide. We are raising our FY27 revenue guide for organic performance by $100 million. This is driven by the continued momentum in AgentForce, Data360, and SLAC. These areas of strength offset the continued volatility in overall license revenue. Alongside this organic growth, our raise incorporates a $200 million expected contribution from the anticipated closings of Contentful and FEN in the coming weeks. Of note, our FY27 revenue now incorporates a $100 million FX headwind compared to our prior guidance. This brings our updated FY27 guidance for revenue to $46.1 billion to $46.4 billion, resulting in subscription and support growth of slightly above 12% year-over-year and slightly under 12% in constant currency. We're holding our non-GAAP operating margin guidance at approximately 34.3%, And we're updating our GAAP operating margin guidance to approximately 20.1%. We continue to expect operating and free cash flow growth of approximately 4% to 5% year-over-year. So moving to our Q3 guidance, we expect Q3 revenue of $11.42 billion to $11.5 billion, growth of approximately 11% to 12% in constant currency. Q3 CRPL growth is expected to be approximately 14% year-over-year in constant currency. I do want to note that this does not include incremental contributions from Contentful and FIN as we await deal closing to ensure accurate balances are reflected. In closing, building on the momentum from a strong first half, we are delivering record revenue and cash flows this year. We look forward to sharing more on our latest innovation and financial framework during Investor Day at Dreamforce next month and connecting with many of you here in San Francisco. So before I turn the call back over, I want to thank Mike Spencer for his incredible leadership of investor relations. His candor and clarity earned the trust of the investor community, and I'm personally grateful for his partnership. Luckily, he's not going far. He's now taking on a broader role in our finance organization. I also want to extend a very warm welcome to Mark Murphy as our new head of IR. He's covered Salesforce as a top sales side analyst, going all the way back to our IPO. So he knows many of you and our story very well. Back to you, Mark.
Thank you for the kind words, Robin. With that, we will move to questions. it is imperative that you limit to one question per analyst and one brief question would be preferred because we need to move quickly. Sophie, please cue up the first question.
Operator
We'll now begin the Q&A. For today's session, we'll be utilizing the raise hand feature. If you would like to ask a question, simply click on the raise hand button at the bottom of your screen. If you've joined us by phone, please press star nine to raise your hand. Once you've been called on, please unmute yourself and begin to ask a question. Please limit to one question. Thank you. We'll now pause a moment to assemble the queue. We'll take our first question from Kirk Matern from Evercore ISI. Please unmute your line and ask a question.
Yeah, thanks very much. And thanks for taking the question. A lot of great things going on in this quarter, but I have to ask about Claude Forrest and Mark. I think specifically, I'd love to understand how you and Miguel are going to be taking this product to the field. What are you doing with Anthropic to make sure that this gets out and, you know, gets into the hands of your customers as soon as it's available? And I assume, you know, we could, we can be seeing, you know, Anthropic and Salesforce salespeople working, you know, together to bring, you know, a lot of value to both your collective customers. Thanks.
Well, we're really excited about this product. This is the best of both worlds. It's the number one AI meeting the number one CRM and putting them together. As I said, when you do that, you get this incredible result, a radically different type of interface on top of Salesforce's entire platform. It's really powered by this incredible new AI harness that you're going to see at Dreamforce AI force. And that harness is able to power not only Cloudforce, but a new version of Slack that you're going to be seeing, as well as coworker, which is something inside our lightning interface and other amazing things as well. But once you have that enabled, then you're able to really unleash the power of our data, our applications and semantic layer, our agentic layer, and all of it comes to light in a whole new way. And I really saw it myself, as I said, in Europe, where we would really show these exhaustive demos to customers and when they could see that all this value that they have in their systems that has been trapped becomes untrapped. But you also saw it here at Salesforce. This quarter we actually released it to many of our executives all over the world, And many of those executives were the ones who were actually demoing it directly to those customers. That it was sales executives, or my most senior sales executives, my operating unit leaders, were showing clawed force to our top customers already. And you're right, we'll also work hand-in-hand with Anthropic sales executives as well. And we'll do whatever we can to make sure that this becomes a huge part of our sales ecosystem. I think this is going to be an incredible opportunity for both companies. And I'd love for Miguel to come in and talk about his vision for how this has come together. And Miguel has been a huge driver of the relationship with Anthropic, as well as really broadening, you know, the capabilities of both companies.
Thank you, Mark. Listen, I've been obsessed with this Surface. I myself and a number of my leadership team have been using very profusely the Surface, connected. We've done it manually, connected the NCP servers, created skills on our own. So I just can't believe that we have now this product available. We are rolling it out to the whole enterprise, to the whole company. And then we're going to make it, Patrick, we're going to make it available to GA in September to everyone. Dreamforce. Every single seller of Salesforce will be demoing this product as one of the surfaces. By the way, we love Slack as one of the surfaces, but not everybody has Slack. They are complementary. Slack, you are working with your teams. It's a multiplayer surface. We co-work you and Claude Farce or Salesforce for Claude. We are simply going deep and researching, understanding your business. By the way, you are able to engage also through Slack, through email, with your team members. It's going to be very powerful. Every customer will be able to buy it. They will have to upgrade to our premium editions, and it's going to be a new wave of demand. I'm very excited about it.
And, Miguel, just give us just a couple of anecdotes, because, you know, I just know, like, when we turn this over to several of your European leaders specifically, and obviously I was in Europe for that time, and they started using it just even at the most basic level, the kind of things that they were building and the kind of things they could see about their business and how to drive their business forward really changed. Can you explain that?
So currently, and by the way, this is what I want all our sellers to do. We're going to be living in three surfaces. What we built, and, you know, this innovation came from Europe more than the U.S. I'm very excited about that. We basically created a cockpit to understand the business.
So you're saying that Europeans can innovate.
You know, sometimes we can. They let us.
So we build our own agents based on Claude, and that agent inspects – they are our deputy CROs for all our businesses, and they inspect the business, the pipeline. They tell us if there is risk in the month or in the quarter. And I do one thing that is – Mark, you would love this. I talk – by the way, I do this on Slack. This is one of the surfaces. I do this in – I mean, at the time, our co-work now is Claude Force. and but I also do it in an app that I build with cloud code so I depending on the moment I use one of the surfaces but I do one thing that is very powerful every time that I visit a country and don't tell anyone because I don't want my team to know but essentially what I do is okay I'm visiting Italy I mean we have an amazing leader there Vanessa Vanessa Fortessa she's a forza de la natura and I said okay give me all the opportunities open opportunities for the month and then send a slack to every account executive copying the whole chain all the way to Vanessa telling them look at the opportunity record look at everything make it sound like it's me I review all the emails all this like before they go and it all of a sudden sends 50 very customized slack messages to the ace asking them if I can help if we can do of anything it's incredible the engine is very smart. It proposes already ideas to close the deal. And then when I visit the country, everybody's mobilized. Everybody has been working over the weekend. Vanessa is crazy running around, and we close deals faster.
Yeah. Very exciting. Thanks, Kirk. Sophie, we will take our next question.
Operator
Our next question comes from Alex Zoukin with Wolf Research. You may now unmute and ask a question.
Guys, thanks for taking the question, and congratulations on a fantastic quarter. Mark, you're seeing a pretty big debate and tension in the industry about open weight and open source models versus frontier model adoption. And I was wondering if you'd set the stage for us, because what you're seeing in customers is important as you're offering the best of both worlds with both ClaudeForce and AIForce slash Headless.
So maybe talk about how you see this debate settling and about the monetization opportunity for both Claude force and headless and kind of when we should start thinking and seeing it in revenue growth yeah i think a lot of customers are asked these questions and you know there a lot of us i'm sure you can relate live in this podcast universe we just were with david friedman he's one of we i think we all love listening to his podcast right and you know we like listening to a lot of these podcasts and we're in this podcast world but i think sometime and i you know please don't quote me on this, but podcasts do not always meet reality. And it's very interesting. It can be very, you know, aggressive. It can be very stimulating, but it might not be exactly true. And I think that that is just the world that we live in. We live in a world of misinformation where everybody has a agenda, financial agenda. You know, they're trying to move a market. They're trying to make things happen. You see that as well with shorts in your market, where you'll see people come in with all kinds of misinformation to try to get something to happen. So I think that one way to handle that is to go talk to customers. And this is what I do. So I have spent a lot of time with customers. And customers, it's pretty simple. They have, you know, if you talk to customers, what they'll say is, we only have three platforms. We have you, Salesforce, doing the front office. We have SAP, they're doing the back office. And we have Microsoft, they're doing productivity. And that's it. The reality is, yes, they have those three platforms. They also probably are hanging out with a hyperscaler. You know, there's probably three or four different ones, depending on what country it is in Europe. They also probably have a data lake supplier. And they also have a collaboration supplier, Slack, or Teams. And I think when we look across those six things, they do not want to also then say, I have all these models, okay, which kind of gets to your question, which is like, you think that these customers then are going to all of a sudden set up and maintain and build the human expertise to be able to build and maintain and train models? No, I believe what they're going to do is consume AI through package software. Not a huge statement, just they're consuming their AI through package software. You're using Slack, you're consuming AI through package software. You're using Salesforce, you're consuming AI through package software. At some level, when you use Cowork, you're consuming AI through package software. And when you're using Cloudforce, you're certainly using AI through package software. And I think that's the right way to think about it. I think the model, it's like, do you even know what chip you're using? You know, do you really know what data center you're on? Do you know what router you're on? What switch? What type of fiber? What cable you're using? What interconnect you're using? At some level, we do will get abstracted back to kind of how the way the world used to be, which is we operate at a certain level of value, you know, and I believe the highest level of value is at the application layer. So I couldn't tell you from my phone all the way through Salesforce and Slack all the way down to what, you know, what the hardware infrastructure is. And I shouldn't have to worry about that. But I do understand this layer up here. And those top four layers that I've articulated several different times on the call, that's where I live with the customers. I did not have one customer really say to me, tell me, you know, are you going to be on open source or are you going to be on Frontier? And I think, like, one way to think about this is, yes, this is a highly dynamic market. And there will be Frontier models. There's going to be open source models. And there's going to be room for all of the above. And I think it's very exciting. If you're not tracking what NVIDIA is doing with Nemotron 1.3 and the ability to fine-tune it, it's a very exciting moment for models. But Salesforce also makes a lot of models, too, by the way. We have a lot of our own models that run in our platform. Our platform runs on our own custom models. We've been writing models since, like, 2015, and you can find them all on Hugging Face. If you go, you'll see all the models. If you're really into models, you can go and see that. So I just think we're at a moment where be careful, and I'm not sure. I don't think that's what customers, well, I don't think that's where customers' heads are at. At least when they talk to me, that's not where their heads are at. Maybe some customers are. Obviously, if you go talk to my engineers, maybe they're interested in what's going on, but I don't think the customers that I speak to are at that level. Does that help you understand how I think about it? Super clear.
Thank you so much. Thanks, Alex. Thanks, Sophie. We will take our next question.
Operator
Our next question comes from Elizabeth Porter with Morgan Stanley. Please unmute your line and ask a question.
Hi, thank you so much for the question. I want to just circle back on this strong agent force ARR growth. In particular, what proportion of current agent force is coming from paid production customers rather than pilots? and how is the timeline from pilot to paid deployment and refilling credits changed over the last couple months? For instance, are we seeing any sort of lengthening as customers are evaluating a broader set of solutions or is Salesforce's increasingly open and headless posture helping de-risk some of these decisions and potentially accelerate engagement with the Salesforce platform? Thanks.
Yeah, I'm going to happen to turn it over to Miguel, but the first thing I'll tell you is, you know, we offer our customers a wide variety of capabilities, products, and functionality. And you mentioned AgentForce is one. Coworker, if you haven't seen Coworker, it's our fastest growing AI product. We have another super fast growing product, Slackbot. We expect CloudForce to be growing super fast. AgentForce also is growing super fast. We have a lot of them. And what we're trying to do is let customers have very flexible capability so that they can choose all of them and grow with them as they want. And we have these new bundles that you've already heard about, and these new bundles let customers do that. See, customers want to buy and want to price in different ways. This is something I've learned really aggressively recently. Some are still buying by user and by agent, and that's important for them. Some of them want it by consumption, and that's important to them. Some of them are just basic usage customers, and they want to pay that way. Some of them even want to pay by outcome, and that outcome could be by a transaction outcome or a business outcome. Because customers want that kind of diversity in pricing, we've created a high level of flexibility, and that, I think, has really expanded our ability to sign very large transactions with our customers.
Miguel, do you want to go into the details? Yeah, I mean, the top line numbers are obviously very impressive, but I like to go a little bit deeper under the hood. When you look just at bookings, not just the cumulative ARR, our bookings, Elizabeth, grew triple digit, so we doubled year on year. That was pretty fantastic. Fifty percent of the bookings came from customers refilling the tank. So they consume, they use the flex credits, they want more, they raise their hand, we go there, which, by the way, is good for A productivity because these sell cycles are very short. The time to production, production is very important for us because consumption is very important to us. We bring customers in the funnel. We want to bring them down. The first thing is to get them to production. We added 2,000 paying customers into production. That's 70% more quarter on quarter. We are not happy with production only. We want them to really be ready to do the work. We are taking them to the enterprise. We show them everything, how to work, and then we leave. We call those agents consistently consuming. We added hundreds of consistently consuming agents down there. You've seen down the funnel. You've seen the consumption number, the AWS exploded. But for me, the most important thing is to see the live customers. I want to tell you one story if I have time on one customer. But if you want to write down names of websites that you can go right now and see the agents or call them, Bodewell, GEAppliance.com, Lululemon. If you're going to Mexico, Volaris.com, Erlingus. If you're going to Ireland, my two daughters are in Ireland now. You want to call Amazon Blink. I mean, you want to call Biberg. Amazon Blink is such a great example, Miguel. Will you just tell the story just briefly? I actually have the phone number. So, yeah, Amazon Blink, basically, if you have anything going on in your Amazon devices at home, you can call, voice call. But I'm actually giving you one because since everybody here is a business, I want to, if you need business insurance, commercial insurance, you can call one of the Berkshire Hathaway companies, B-Berg, and I'm actually going to give you the phone number, 402-200-3104. Just call. So, 402-200-3104. and the experience is incredible because it's not just a chat it's a voice that is anchored to your trusted context and that can execute across our deterministic applications but anyways, I give you a bunch of websites but let me tell you one story of some of the agents that are working the enterprise that people don't see, big digital platform company here in the US 45 million 45 million AWUs is one of our largest, grew 14 times We started this six months ago in Q2. The AWU used the consumption group 14 times, 14-fold. And what it does is they call it the activation agent. They go to all the merchants that are already registered with this platform, but they are not transacting. They are not getting money from the merchants. And the agent has 1,500 interactions every day, getting these dormant merchants alive and then kicking and then generating revenue. This customer, for instance, was one of the customers because we're meeting them where they are with pricing. They didn't want to buy up front and do a big thing. They just wanted to try and see the value. So now, Mark, we're negotiating either, we're giving two options, either outcome-based deal. I mean, we're talking, I mean, this is a $40 million customer for us, so it would be a monster deal on outcome-based, or it could be simply an AELA, unlimited agreement with millions of others.
I think that's the most important thing for us. I mean, I think that we've heard so many companies say, we're doing outcome pricing. We're doing this pricing. We're doing that pricing. You know, we're just too big. We have to do it all. And so we've built these new flexible pricing schemes that let our customers choose the price that they want. And we're going to get more and more into that zone. But this last thing that Miguel said, that some customers want business outcome pricing, that's very exciting. And that's never been true before in enterprise software. And Miguel, one more huge announcement we had in the quarter was that Miguel is now our Chief Operating Officer. Congratulations, Miguel.
Thanks, Elizabeth. Sophie, we will take our next question.
Operator
Our next question comes from Gabriela Borges with Goldman Sachs. Please unmute your line and ask a question.
Hi, good afternoon. I think this follows nicely from Elizabeth's commentary on the different types of pricing models. If I listen to what Xero and Regora and Replot is saying, you've got some customers that are using the agent for a stack, you've got some customers that are going headless, and now you've got the core first announcement today as well. My question is a little bit on the economic value to Salesforce from these different types of cohorts. I know you're still figuring out monetization on headless.
Do you think in steady state, you'll be able to capture the same type of ACV from customers agnostic of whether they do agent for us so whether they do some sort of headless configuration and then any early reflections you can share as you progress on figuring out monetization for headless would be very helpful thank you maybe i'll start gabrielle it's a great question and even going back to alex's question as well we feel really comfortable with like you said we're working through headless monetization but just to further double down on mark's point what we ultimately think is predictability and flexibility is what's important to customers and as mark said they're going to buy a lot of different type of ways i think most importantly though we think with our new platform ai force we really are going to unlock the potential for knowledge workers in great ways i think that's going to be pretty impressive the other thing is is the way we're delivering this is through our premium upgrades that we also talked about so So they're going to get innovation in the moment. That is an early stage for us relative to our installed base. Our opportunity to continue to upgrade our customers to those premium additions that gives them instantaneous access to this innovation is an amazing future opportunity for us. So we feel really comfortable with the monetization strategy that we have and, most importantly, the flexibility that we're giving our customers that allows us to capture that. Quick thing.
The AI opportunity, you can see, you know, first, augmenting employees. That's where our premium editions come very handy because when you are on one of those premium editions, you basically have a limited usage to augment yourself as an employee. And then the customer-facing use cases, which is Monster. This is the digital labor world. It's Monster. That we monetize with AELAs, with FlexCredits, and here we meet customers where they are in their journey. Sometimes they want to buy as they go. Sometimes we just, you know, charge for overages. And many times they buy up front a bunch of credits. I think, you know, AI Surfaces is going to increase the demand across the board. What I can tell you is every, and we're measuring this, we're going to give you an update in Dreamforce, but we started last year. Customers that start the agentic journey with Salesforce, on average, they are already at double the AOV. with a perspective of nearly quadrupling three times to four times the AOV. Think about this. The only thing that I need to do is to convince every single customer, and that's why Mark is on the road from time to time, meeting customers and convince them to come, like he did with David Friber, to come with us in their agentic journey. Because once they make the decision, double, triple, quadruple the AOV with us.
Yeah, and I think that that's what's really key. I think your question is so good, Gabriella. I'll tell you why it's so good. Because I think that if you would ask us a year ago, we'd be like, well, we don't really know. But I think now what we see is, wow, all this new action on the network, call it agentic action, new user interfaces, new applications, it's just a lot more activity on our service. I mean, the amount of action at Salesforce on our service, the value that we're adding, the actual value that we can give to our customers is immense. So have we fully optimized that yet? No way. You know, we're still trapped in some ways in old, you know, per-user pricing models. But their opportunity to build much more aggressive pricing, you know, to really represent the value that we're offering our customers, I think, is enormous. and Miguel is really at the very beginning of what I think will be one of the most exciting journeys he's ever been on.
Only 5% of the knowledge workers that use sales and service have agreed to their higher-end additions. We get a 60 to 80% premium, so imagine.
Yeah, and I think that's a major, so if you want Claudeforce, if you want Headless, if you want all these value-added agentic additions and capabilities, you need to move to our premium addition, which is what's going to give you the power to fully operate inside your enterprise and deliver this high level of capability and unleash the huge amount of value that's been trapped for so many years. I hope that makes sense.
Good numbers there. Thank you.
Thanks, Gabriela. Sophie, we will take our last question.
Operator
Our last question comes from John DeFucci with Guggenheim Securities. Please unmute your line and ask your question.
Thanks for taking my question. Miguel, I know you've gone through the math of how the subscription net new AOV to revenue works, and we agree, it's math. But there are two things that Robin said that I think are really important to that. One, net new AOV growth is the strongest it's been in four years. And two, you had near record low attrition. Those two things help that math work. We know that. Can you better, I guess, help us better understand what's happening underneath those statements? How stable or sticky is that foundation of your recurring revenue? And more importantly, how should we think about that going forward? Because Mark's talked a lot about the so-called Sasspocalypse, and he's, and I appreciate that. That was, that was, actually, I don't know, probably not fun, but it was always interesting. But if you follow through on those statements and that math, both low attrition and strong new business growth, that term is going to be part of history, Mark.
You missed the third leg of the stool, though, John. You didn't say a new value added for customers. I think that the key is three things. Yes, it has to be about low attrition, okay, and high net new AV, very important. But the third thing that we have to do with this AI is deliver this new value added that's going to bam, bam, bam, offer all these new capabilities. And I'll just come back to what we said. Whether you're using CloudForce or you're going to see the new version of Slack, I'll just go into it in a second, also has an incredible surface. And this idea that all of a sudden these, you know, kind of things that sit kind of theoretically at the top of the stack can dynamically build for you these applications so you're going to work with it and you're going to say hey i'm managing this part of my business i you know it involves these customers these products these competitors you know this technology and bring this together to me and in the in a map and of this and of that and where you used to have to take months or years to build very complex very dynamic applications that look like they were built in i don't i'm not going to get too geeky on you, but like React, you know, like a very complex user interface. All of a sudden, that is what the AI is really good at. And, you know, we're doing the heavy lifting down below, the sharing models, the business models, the security models, keeping it safe, keeping it controlled, you know, keeping the data where it needs to be, making sure the wrong person doesn't see the wrong data, that kind of thing. But then that idea that we can offer a lot more value so it's those three things all coming at once and that is what our that's what our hope is is that we will offer more value for our customers and unleash trap value and that that's going to give us this huge leg up and that last thing that miguel said that we're moving to not just kind of outcome-based pricing which is we completed this many phone calls therefore give us a dollar you know we want to be able to say no we improve revenue by this much so give us two dollars because we made you 20 or we made you 40 and i think that that's like the next generation of enterprise software that is more than outcome based pricing and there's other enterprise software companies that are out there that are kind of doing well they work with sometimes mid-market companies and get huge prices for their products because they've basically been able to write an outcome deal. Like, if I can generate this much more revenue for you, you have to give me a percentage of it. Whoa, you could do that at scale now that you have this kind of thing. And you don't need a bunch of FDs and engineers and all that to do that because that's what the AI is really good for up here at this top level. Does this make sense, what I'm saying to you?
You know what, Mark? It makes absolute sense, and I really appreciate it. But I think you'd agree with me that even without that, the way Salesforce stock and some of your peers have been trading, they are not even looking at that. They were just afraid things were going to deteriorate into something.
They're not looking at it. Well, yeah, take the value of Slack. Obviously, I get a call every day from somebody who wants to buy Slack. Hey, take the value of Slack. Then take the value of our Anthropic stock. That's been like half our value of our – forget our cash flow or our customer base. That's why I said, Robin, go try to buy as much back, as much sales for stock as you can, you know. And, you know, I think we got a lot of stock at a good price.
Well, you're on your way. This tonight made a big statement.
Thank you. Keep guiding us, John.
On the confidence about the future. I mean, H1, H2 last year was a great net AUB growth semester. We knew, Robin and I, we partnered together. We knew that for organic revenue to reaccelerate, as we committed to happening now in H2, we had to continue with net AUB growth, up-paced in AUB growth. That was our obsession. We aligned the whole company this fiscal year, compensation plans, every role. H1, NENUUB, significantly growth outpates AOB growth. We've already raised the guidance. We've already committed to the revenue acceleration organically in Q3. The momentum is there. We feel very, very strong. The demand environment is very, very good, very strong. Our pipeline, our record levels. We have more opportunities to monetize that we are not even putting in the pipeline. We have the capacity. Thank you, Mark. You pushed us to hire a lot of A's when things were a little bit rocky.
Somebody's got to call these customers besides me, Miguel. I know.
I know. I do some calls also. Thank you for helping out. We have the capacity, and we have the innovation. We have the product. So if you think the demand is there, and it's going to get even better with the AI force, and the supply, which is for us supply is capacity, distribution capacity, which we have hired more than anybody else. We still have to hire 1,200 more A's before the end of the year. We are now hitting 15,000 A's. And the innovation, we have the best products we've ever had. Most of it organic. We've made some tag-in acquisitions to enlarge our times. We are very confident. Definitely we are committed to the H2 revenue reacceleration. That's already math. Q3 is math. Q4 is nearly math. But we are committed in sustaining that acceleration and we are going to hear more at Dreamforce about fiscal year 28.
And I think even to add to that, Miguel, is if you take a look particularly at sales and service, we're seeing durable growth in seats. right so that's a fundamental proof point is that everything we're doing is amplifying our entire platform amazing progress it's amplifying the need for trusted context and deterministic execution very clear perfect note to end on thank you john and thank you to everyone for joining the call we will be hosting a webinar on tuesday to deep dive on our customer motion and adoption of AI with Bill Patterson and Connor Marsden.
And we look forward to seeing you all over the coming weeks and at Investor Day at Dreamforce.
Operator
Thank you for joining. This concludes today's call. You may now disconnect.
