Ladies and gentlemen, thank you for being here. My name is Abby, and I will be your conference operator today. I would like to welcome everyone to the ServiceNow Fourth Quarter 2024 Earnings Conference Call. All lines are muted to avoid background noise. After the speakers finish their remarks, we will have a question-and-answer session. I would now like to turn the conference over to Mr. Darren Yip, Group Vice President of Investor Relations and Market Insights. You may begin.

Good afternoon, and thank you for joining ServiceNow's fourth quarter 2024 earnings conference call. Joining me are Bill McDermott, our Chairman and Chief Executive Officer; and Gina Mastantuono, our President and Chief Financial Officer. During today's call, we will review our fourth quarter 2024 results and discuss our guidance for the first quarter and full year 2025. Before we get started, we want to emphasize that the information discussed on this call, including our guidance, is based on information as of today and contains forward-looking statements that involve risks, uncertainties and assumptions. We undertake no duty or obligation to update such statements as a result of new information or future events. Please refer to today's earnings press release and our SEC filings, including our most recent 10-Q and 10-K for factors that may cause actual results to differ materially from our forward-looking statements. We'd also like to point out that we present non-GAAP measures in addition to and not as a substitute for financial measures calculated in accordance with GAAP. Unless otherwise noted, all financial measures and related growth rates we discuss today are non-GAAP except for revenues, remaining performance obligations, or RPO, current RPO and cash and investments. To see the reconciliation between these non-GAAP and GAAP measures, please refer to today's earnings press release and investor presentation, which are both posted on our website at investors.servicenow.com. A replay of today's call will also be posted on our website. With that, I'll turn the call over to Bill.

Thank you, Darren. Good afternoon, and thank you very much for joining today's call. There are two big themes I'll cover. The first is ServiceNow's outstanding business fundamentals. We'll discuss another quarterly result that beat expectations, driving our remaining performance obligation to nearly $23 billion, and a platinum balance sheet with $10 billion in cash and investments on hand. We are one of one, a 20% plus grower at scale with margin accretion, printing free cash flow operating at the Rule of 54. We blew through our original $10 billion dream and now we're on track for our mid-term target of $15 billion plus by 2026, with a long-term vision to be the defining enterprise software company of the 21st century. The second theme is ServiceNow’s leadership position in the seismic shift to generative AI. Stunning 150% quarter-over-quarter deal growth in our key Pro Plus AI offerings is an exciting sign of what's ahead, especially with the new innovations we announced today. It doesn't matter to ServiceNow who builds the models, with the precipitous drop in LLM compute costs, there is much more capital allocation available for the business impact layer. Our position at the center of data, AI agents, workflow orchestration, and enterprise governance is the nexus of AI's massive value creation opportunity. Let's talk about the business fundamentals first. You'll recall that during the course of 2024, we consistently beat expectations and raised our guidance twice. In Q4, our biggest quarter of the year, we exceeded expectations on top of that beat and raise track record. Subscription revenue growth was 21%, CRPO growth was 22%, that's double IDC's 2024 growth rate for the IT sector. Operating margin was 29.5%. Each of those results was 50 basis points above the high end of our guidance. So too was our full year 2024 free cash flow margin of 31.5%. In terms of the shape of the business, ServiceNow continues its enterprise platform expansion. We had 19 deals greater than $5 million in net new ACV. We landed our largest new logo deal ever. We had two additional customers cross the $100 million in total ACV, doubling our total in one quarter. It's clear that our AI platform message is landing and it's scaling. On the product areas, 76 of our tech workflow deals were over $1 million, including one over $15 million. ITSM, ITOM, and ITAM, and Security and Risk were all in at least 15 of the top 20 deals. IT Asset Management was actually in all of our top 20. Customer and industry workflows, more on this later, continued its disruption of the category with 30 deals over $1 million. Employee and creative workflows both had very good quarters with at least 17 deals, each over $1 million. We're very proud of ServiceNow's performance in 2024. No enterprise software company has ever executed at this scale the way we have. You'll hear from Gina on the 2025 guide in a few minutes. To say we expect another great year is a given. This is consistent with how we have guided the business in recent years when you'll recall, we consistently overachieved our stated goals. Even on this bigger revenue base, be assured, we will be the innovative fast growth highly profitable company we are today. Let's spend some time on AI. I gave you the 150% quarter-over-quarter result. This is the number of customer deals for the AI-fueled Pro Plus level in our ITSM, CSM, and HRSD solutions. Let's go a level deeper. IDC forecasts worldwide revenue for AI platforms software will grow to $153 billion in 2028, with a 40.6% CAGR during that period. For 2025 alone, they forecast 46% growth in AI software spending. With this secular strength, AI is fueling a top-to-bottom reordering of the enterprise technology landscape. You've seen the impact of this in energy, infrastructure, and hardware. You'll now see it even more in software. Every CEO I meet wants to simplify their business to unlock the heaviness of legacy architectures. They want to innovate with data workflows and agentic AI. ServiceNow is winning with 1,000 customers on the Agentic AI journey already. Here's why: First, ServiceNow has the AI agents, the workflows, the workflow data fabric, Raptor DB, and the integration hub all in one platform at scale. The majority in enterprise software is struggling with their well-known integration challenges and in some cases, exaggerating the readiness of incremental progress. Second, ServiceNow has thousands of AI agents, leveraging 20 years of automation, data, and outcomes. This is knowledge gleaned from trillions of workflows we run, including billions of automation, knowledge sources, and tools. We've been building an agentic architecture for the five plus years I've been the CEO and in lockstep with Jensen Wang and our great friends at NVIDIA. Third, since enterprises will experiment with more than one vendor's agents, ServiceNow's platform manages orchestration and governance. Nobody wants a new cloud mess where every department is out buying agents and nobody understands what the agents are doing. Our AI agent orchestrator eliminates sprawl, managing teams of AI agents to tackle the most complex enterprise processes. Even as we reach new buyers like Chief Data and AI officers, ServiceNow's role as the CIO's control plane is the ultimate move in enterprise AI. If you haven't seen Idris Elba's latest brand work for ServiceNow, you can check it out on servicenow.com or on the ServiceNow YouTube channel. The theme is every corner of your office. Our differentiation goes east to west and north to south. And here's what this all means for our business. We are only getting started. The opportunity is in its early days. The unique agility of our business model sets us up for a quantum leap in future business growth. We have predicted that our seat-based subscription will stay as is a foundation you can feel secure in. We have also included a massive upgrade path to Pro Plus, RaptorDB, and Workflow Data Fabric, so our seat-based subscription still there, rock solid, not going anywhere. Then we have these massive upgrade paths to the new innovations. Customers still like the predictability of this approach, and they're committed to long-term transformation on our platform. Now we are also enabling elements of consumption-based pricing, as AI agents become a potent value driver for the enterprise. While we could have launched an additional SKU and offered AI agents as an add-on to drive more immediate revenue growth, our strategy prioritizes accelerating adoption. So by foregoing upfront incremental new subscriptions, we are enabling faster penetration into our customer base and monetizing the hockey stick of usage over time. As the agents become increasingly productive, they will drive the consumption pricing meter. And that, of course, will be in addition to the seat-based licensing foundation; you'll get both. The consumption assists with agentic AI will be a multiple factor higher than that of a standard Now Assist query. This approach ensures customers can access our AI capabilities as quickly and seamlessly as possible while simplifying the sales process at the same time. This is the most transformative technology in decades. We are solidifying our leadership position as the AI platform for business transformation. The bedrock strength of this business model is built on driving the success of our customers. Some examples include Petrobras working with ServiceNow, connecting data across more than 6,000 applications and catalog items, processing over 250,000 requests monthly to improve decision-making and governance. A large DoD agency works with ServiceNow to get immediate visibility into critical data and assets previously trapped in manual processes and outdated legacy systems. New Zealand Parliamentary service is using ServiceNow to reduce employee request response times from weeks to two days. And our largest non-profit deal to date, Scouting America, will leverage the ServiceNow platform to digitally transform its legacy HR and customer service processes with AI. Grupo Bimbo will revolutionize its factory operations using ServiceNow to get real-time insights and boost production efficiency. Toyota, Rolls-Royce, the federal service desk, and NTT Data all work with ServiceNow to put AI to work for people. As always, there's so much more to give you a complete picture of ServiceNow's progress. We told you about the launch of Workflow Data Fabric, which is significantly expanding ServiceNow's addressable market. The increasing traction on agentic AI is surging awareness of workflow data fabric and our RaptorDB Pro offering with new customers like NTT signing this quarter. We're further augmenting Data Fabric capabilities with the new Oracle and Google Cloud integrations announced earlier today. In terms of our key strategic industries, the public sector is poised for a major modernization effort this year and beyond. The United States government alone spends $125 billion a year on IT, much of which is unauditable, not cataloged, and not tracked against actual usage. That's why we're so enthusiastic about the new Department of Government Efficiency mandate from President Trump. If you look at our track record across all federal government customers, ServiceNow is saving millions in costs through efficiency improvements and millions of hours by automating mundane work. There's so much more we will do to help. In terms of our partner ecosystem, there is growth happening everywhere. ServiceNow and AWS expanded our collaboration with new capabilities to accelerate AI transformation. This enables the use of multimodal models developed on Amazon Bedrock and additional solutions available on the AWS marketplace. ServiceNow and Google Cloud are expanding our partnership to deliver AI-powered tools to millions of users. ServiceNow will launch on Google Cloud Marketplace and Google distributed cloud to address demand from global enterprises. ServiceNow and Visa are expanding our strategic alliance yet again. Visa will use ServiceNow's dispute management, built with Visa's solution, and together with ServiceNow, we combine AI capabilities. ServiceNow and Five9 expanded our partnership to deliver a turnkey AI-powered solution for unified experiences. The streamlined solution reduces operational costs, increases agent efficiency, and simplifies contact center operations. ServiceNow and Microsoft are expanding our alliance to accelerate disruption in the CRM category. This is built on Microsoft CoPilot and ServiceNow AI agent collaboration, leveraging the unique strengths of both platforms. It's a good time to remind you that CRM and industry workflows are ServiceNow's fastest-growing business. There's a reason for that; ServiceNow is uniquely positioned to take action and fully automate workflows across the enterprise. We have a key differentiator at the architectural level: we don't have to try to translate between our AI models and some third-party system. We sell, fulfill, and service on one platform, one architecture, and one data model, absolute beauty. Other software vendors need to communicate across multiple systems and stitch them together to make their software work, resulting in poor customer experiences saddled with technical debt. We're just a front-end AI agent. A customer is limited in their ability to take action across the enterprise to drive the ticket to resolution. ServiceNow enables AI agents to seamlessly collaborate across the entire enterprise with our single database and single architecture. Our peers’ agents perform simple tasks while our AI agents work together and leverage the entire system to solve complex tasks and enable true business transformation. We know that agentic AI promises exponential increase on the ServiceNow platform; this is an exponential increase in seamless automation. On a fragmented platform like many others, there will be an exponential increase in complexity and failure rates. Autonomous AI running on a fragile foundation and bespoke integrations between disparate systems is a recipe for exponential disaster. Industry analysts have acknowledged ServiceNow's completeness of vision. ServiceNow is named a leader in the 2024 Gartner Magic Quadrant for the CRM Customer Engagement Center. ServiceNow is also recognized as a leader in the Forrester Wave task-centric automation software. The global marketplace is noticing too; just today, ServiceNow was recognized as number two on Fortune's world's most admired software companies and even better, we were number one in innovation and number one for building a people-first culture. Forbes named ServiceNow number two on the first-ever most trusted companies list right behind NVIDIA, pretty good company, if you ask me. The American Opportunity Index, which ranks companies based on creating opportunities for their employees, ranked ServiceNow in the top five in the world and number one in software. These are just some of the many awards, all of which are rooted in a world-class team that is completely obsessed with serving our customers. In summary, ServiceNow is full speed ahead. We are putting AI to work for people; our innovation, growth, profitability, and brand leadership position us as a class of one in enterprise software. The market is moving with ServiceNow. With this combination of startup passion and scale maturity, we have the right strategy to deliver immense shareholder value in the years to come. That's why I keep reminding our team, our $15 billion plus by 2026 midterm guidance is only one chapter on our path to $30 billion plus in revenue and beyond. When the world works with ServiceNow, imagination is the limit. Thank you all for your time and confidence. Before we take questions, I'll hand things over to our President and Chief Financial Officer, Gina Mastantuono. She will illuminate our unique ability to sustain profitable revenue growth, even as we add the revenue equivalent of a number six scaled market-leading software company on top of ServiceNow every year. Pretty exciting stuff. Gina, over to you.

Thank you, Bill. Q4 was a great quarter, capping a year of incredible innovation and execution. Once again, we exceeded all of our constant currency growth and profitability guidance metrics, demonstrating the strength of our platform and the extraordinary efforts of our team. 2024 was a pivotal year in driving customer adoption of our generative AI solutions. By embedding powerful AI capabilities into our offerings, we've enabled organizations to reimagine how work is done, unlocking new levels of efficiency, creativity, and value. Customers across industries are embracing these solutions at a rapid pace, proving the immense opportunity AI and data bring to our business. Turning to our results. Q4 subscription revenues were $2.866 billion, growing 21% year-over-year in constant currency, exceeding the high end of our guidance range by 50 basis points. RPO ended the quarter at approximately $22.3 billion, representing 26% year-over-year constant currency growth. Current RPO was $10.27 billion, representing 22% year-over-year constant currency growth, a 50 basis point beat versus our guidance. From an industry perspective, manufacturing posted impressive growth, surpassing 50% year-over-year. Public sector grew nearly 40% year-over-year, driven by the strength in U.S. federal and state and local government. Transportation and logistics also reported significant growth during the quarter. We delivered a very strong 98% renewal rate in Q4, highlighting the trust and value customers consistently place in the Now platform. The number of customers generating over $1 million in ACV rose to 2,109; even more remarkable, the number of customers contributing $20 million or more in ACV was up 35% year-over-year, fueled by continued success in securing large deals. We ended the year with approximately 8,400 customers as our strategic focus on landing the right new customers continues to deliver results. The average deal size of our new logos has consistently grown, marking the sixth consecutive year of expansion. In Q4, we landed our largest new logo deal in company history. We closed 170 deals greater than $1 million in net new ACV in the quarter, including 15 with new logos. What's more impressive is that 19 of these deals exceeded $5 million, and three deals were over $20 million. Our Gen AI net new ACV to date continues to trend ahead of any new product family launch for the comparable period in our history. In fact, Gen AI net new ACV stepped up meaningfully in Q4 from Q3 as we saw momentum accelerate for our Plus SKUs. As Bill noted, the number of Now Assist service desk deals, including ITSM, CSM, and HRSD grew over 150% quarter-over-quarter. Furthermore, the number of customers who bought two or more of our Gen AI capabilities doubled quarter-over-quarter. Our Plus SKUs also maintained a greater than 30% price uplift over Pro in Q4, a strong indication of the tremendous value they deliver. For example, a multinational conglomerate customer saw a 45% reduction in live chat from July to December with Now Assist, and the company is now targeting to save millions by the end of 2025. With the addition of our AI agents to many of these SKUs, we think the value proposition becomes even more compelling in 2025. We're also seeing great early traction with our RaptorDB Pro offering. Since the announcement in September, we already have five customers over $1 million in ACV, and a leading multinational technology company that adopted RaptorDB Pro in Q4 is already achieving performance improvements that exceed expectations, with database response times up to 3.5 times faster than previous benchmarks and a database size reduction of over 30%, driving significant cost savings. Turning to profitability, the non-GAAP operating margin was 29.5%, driven by OpEx efficiencies and our top-line outperformance. Our free cash flow margin was 47.5%. For the full year 2024, the operating margin was 29.5%, up 200 basis points year-over-year, and the free cash flow margin was 31.5%, 50 basis points above our guidance and up 100 basis points year-over-year. Total free cash flow for 2024 was a robust $3.5 billion. We ended the year with a healthy balance sheet of $10 billion in cash and investments. In Q4, we bought back approximately 293,000 shares as part of our share repurchase program. As of the end of the quarter, we had approximately $266 million remaining of the original $1.5 billion authorization. Given our strong cash position and our strategy of managing the impact of dilution, we announced today that the Board of Directors authorized the purchase of up to an additional $3 billion of common stock under this program. Together, these results continue to demonstrate our ability to drive a strong balance of world-class growth, profitability, and shareholder value. Moving to our outlook. As we enter 2025, we're not just planning to win today; we're making bold strategic decisions to position ourselves for sustainable strong growth in the years ahead. This year, we will incorporate more elements of consumption-based monetization across our AI and data solutions. For instance, we will include AI agents and our Plus SKUs forgoing upfront incremental new subscriptions to instead drive even faster adoption and monetize the hockey stick of usage over time. We're optimizing our go-to-market approach and evolving our business model to create even more integrated solutions and seize the massive agentic AI and data opportunity in front of us. Our guidance prudently reflects the flexibility to make these moves while delivering higher incremental free cash flow building on the accelerated margin trajectory created by our outstanding 2024 outperformance. With that in mind, for 2025, we expect subscription revenues between $12.635 billion and $12.675 billion, representing 20% year-over-year growth at the midpoint on a constant currency basis. This reflects an incremental $175 million FX headwind since the end of September and assumes a more pronounced back half weighted seasonal linearity in our U.S. federal business due to the change in the presidential administration. We expect subscription gross margin of 83.5%, reflecting the diminishing impact of the change in useful life of our data center equipment as well as incremental data center investments related to public cloud partners, geographic expansion, and AI. We expect an operating margin of 30.5%, up 100 basis points year-over-year driven by OpEx leverage across the board, including sales and marketing. We expect free cash flow margin of 32%. This reflects an incremental 50 basis points of margin expansion on top of our 2024 outperformance and in spite of an incremental cash tax headwind of 100 basis points year-over-year. And we expect GAAP diluted weighted average outstanding shares of 210 million. For Q1, we expect subscription revenues between $2.995 billion and $3 billion, representing 20% year-over-year growth at the midpoint on a constant currency basis. This reflects an incremental $40 million FX headwind since the end of September and the previously noted federal seasonality assumptions. We expect CRPO growth of 20.5% on a constant currency basis. I would note that CRPO saw an incremental $205 million FX headwind since the end of September. We expect an operating margin of 30%, and we expect $210 million GAAP diluted weighted average outstanding shares for the quarter. In summary, 2024 was an amazing year, but we're just scratching the surface of what's possible. Our ability to seamlessly orchestrate and govern AI agents, coupled with our unified data architecture, positions us uniquely to bring all your data, people, and processes onto a single platform so you can take action on it. The moves we're making in 2025 aren't just about maintaining our lead; they're about expanding it. We're setting ourselves up to redefine the future of agent-powered automation, solidify ServiceNow as the AI platform for business transformation, and deliver strong growth year after year. Finally, Bill and I want to express our deepest gratitude to our employees around the world for their unwavering hard work and dedication. You are the heart of our success. With that, I'll open it up for Q&A.

Thank you. We will now begin the question-and-answer session. Your first question comes from Kash Rangan with Goldman Sachs. Your line is open.

Thank you very much. Wow. What a superb quarter and a fiscal year end as well. Bill, a question for you. Can you talk a little bit more about your decision to do a hybrid consumption and subscription? And the reason behind your confidence that you can walk both those tracks very well. And Gina, if you could do a pro forma, had you not done the consumption? What would the subscription revenue growth outlook have been hypothetically? Thank you once again. Congratulations.

Thank you so much, Kash. Our goal is to combine both subscription and consumption pricing so customers can start with a base subscription, which they like. They want that flag in the ground, so they can predict their spend and their current ROI schemes. But then, they obviously want to take advantage of agentic AI and yet at the same time, the industry is early in its formation. So we're actually innovating faster than they have deployed it. So they want to scale with us in harmony and in partnership. With our Pro Plus version, they'll get access to our agentic AI agents and will give them a meter-based pricing methodology where they will take out the soul-crushing business process work that is tedious and complex that people actually don't even want to do and agentic AI agents will do that for them. They will see a very nice ROI on that. And by definition, if the meter is running up, that means they're using it and deriving financial gain from it, and they're happy to pay and share with us the profits. So in a certain sense, Kash, it's the Goldilocks model where you get it both ways: you get the same revenue and predictability you've been used to, but now we have a hockey stick formation that can turn into a sensational growth shoot for the company. So I think we really got this right and with Amit's leadership and our great engineering team, the way we're pressing innovation into the market is truly, truly stunning. I just want to give you one thought that nobody ever talks about, and that is, no matter where you travel in the world, and I just got done with a global road show, there are millions of technical jobs that go unfilled year after year. With agentic AI agents, you can now fill those jobs and at the same time, improve human productivity and the productivity curve of these businesses in a dramatic way. And nobody actually talks about there not being any such thing as artificial intelligence without human intelligence. And that's why we are putting AI to work for people, and that has landed in a very pleasant way with our customer relationships. So everything we're doing is on the right side of customer success.

So – hey, Kash, thanks for the question. This is Amit here. Just to add to what Bill was saying, the way we are thinking about this, the Pro Plus we have 1,000 plus customers who are already able to now take advantage of the innovation we're bringing out with agentic, and it is subscription. So they're still paying for that capacity. If they go beyond that capacity and the assist, which is the meter gap capacity, if they go beyond that, they're still buying assist packs. So it's not like one assist per time in terms of consumption. So it's not really subscription packs in a way, but just that they can now go and tier those things much more easily versus having to do everything upfront, right? So they get the predictability and the confidence of the usage and the value and they grow with it.

And then on the second part of your question, Kash, as always, we're beginning the year with a thoughtful guide, right, that sets a strong foundation for success. And I talked about two factors that we prudently factored into our guide. We just talked about the monetization of the agentic AI. I won't go into that further because I think Bill and Amit explained it quite clearly. The other piece is that we anticipate a more back-end weighted deal linearity in 2025 for federal, reflecting the outcome of the U.S. election. And so what I’d say is that we’re giving you a 20% constant currency guide while derisking the guidance. And to your question on what would it be if we didn’t do that, I would say higher.

Thank you.

Thank you.

And your next question comes from the line of Mark Murphy with JPMorgan. Your line is open.

Thank you so much. So Bill, regarding the DeepSeek models, I'm very interested in how you're assessing this moment where we have a Chinese AI model. It seems to perform well at a fraction of the cost, and I'm curious, if it's something like DeepSeek, is that an option for ServiceNow or is it too risky with the data protections? And just more broadly, what do you think ServiceNow can do to exert its leadership as this cost of one of your input costs, which is the underlying models, it seems like it's starting to drop at a faster pace.

Yeah. Thank you very much for the question, Mark. It's actually fantastic news for ServiceNow because as these models are being commoditized at a rapid rate and probably more rapidly than anyone could have dreamed of, it's super, super exciting for platform and app vendors like us since the competitive differentiation will happen at our level in terms of the applications, the business processes, how you can help these companies run better, and then ultimately get a business outcome. And again, what I think helps us a lot financially, you can see the gross margin benefit of that, but you can also see our customers that have been investing in these LLMs getting a lot better deal now so they can pass the hardware, the infrastructure and the LLM and that price is dropping on everything, and they'll have more left over to invest in ServiceNow. But what truly sets ServiceNow apart is our platform's ability to orchestrate and operationalize AI to create meaningful outcomes. So our customers are using ServiceNow to turn these AI insights into real tangible actions, whether it's automating workflows, resolving issues proactively, or enhancing productivity across the enterprise. And as it relates to DeepSeek, I would just simply say, we have a deep belief here in basically measuring twice, if not three times, and counting once. So we believe very strongly in understanding what's really going on, and we're highly committed to responsible AI, and I know Amit and his team are taking a look at that right now.

To add to what Bill mentioned, we are indeed supporting third-party large language models and actively collaborating with many providers to integrate these technologies. Our platform is designed to easily incorporate innovations in that space and deliver results through our applications. The strength of our offering lies in the combination of workflows with AI and data. We will adopt any technologies that benefit our customers and optimize their outcomes. That’s our primary objective, and we’re continuously engaging with all the large language providers, including DeepSeek, which our teams are currently exploring. Architecturally, we're equipped to support any necessary innovations.

Thank you very much.

And then Mark, regarding costs, I want to emphasize that this is not surprising. We have been discussing our commitment to innovation and investment in AI for some time, and yet we are still improving our margins. Our guidance for next year indicates an increase of 100 basis points in operating margins and 50 basis points in free cash flow, following a strong performance in 2024. ServiceNow is demonstrating excellent cost discipline while continuing to innovate.

Well, congrats on having that foresight in delivering that efficiency and thank you for taking my question.

Thank you, Mark. Thank you very much.

And our next question comes from the line of Keith Weiss with Morgan Stanley. Your line is open.

Thank you for taking the questions. This is Sanjit Singh for Keith. Bill, when you think about this year, I kind of have sympathy for a lot of enterprise customers. Every vendor in software is going to be pushing their agentic capabilities. So Bill, could you just detail a little bit about your agent strategy in that more fragmented landscape? What's going to give ServiceNow the license to win? And also importantly, what are you contemplating from a go-to-market change perspective that's associated with this move to agents and the move to a hybrid subscription/consumption model?

Yeah. I think the number one most important thing is our AI orchestration serves as the control tower for business transformation. If you think about our core strength in IT and how we handle all things IT from servicing the business, running the operations, the assets, and the security of it all, and then moving into the employee and the experience and giving them all the things they need and think about the customer, it's literally sell, fulfill, and service all on one platform. And then from a creator perspective, with natural language wiping out 60% of the productivity drag to actually get them coding and inventing something, we're handling all of that today on one platform with one architecture and one data model. So we'll give you our agentic AI solution in all of those domains. But best of all, because everyone is pounding them with their siloed solutions, it's become highly credible to customers that somebody has to be the controller or the orchestrator for all of these other agents as well if they decide to implement them. And as soon as they see the architectural advantage of what ServiceNow has, they say, I go for this one. There's another thing that's happening in combination, thanks to Amit and the great engineering here. We now have RaptorDB, and I do remind you that Amit had an amazing career at Oracle before GCP, so he understands all of this at a very deep technical level. We have some amazing talent in our company on databases. RaptorDB is a sensation, not only in its speed and its ability to be fully automated on the ServiceNow instance and make big companies go 3 times or 5 times faster, but we also now have connectors into Snowflake, into Databricks, into Oracle, and into all the hyperscalers, including the announcement today with GCP. Interestingly, AWS is the number one and the number four biggest deal ever in the enterprise with ServiceNow customers running in AWS. So they know us well. Everybody knows us really well. Now you're controlling east to west and you're going north to south up and down the stack. You ultimately integrate into all these systems of record where we have been moving that data into ServiceNow for years. With RaptorDB, some customers are saying, "Well, why don't I just move it all into ServiceNow and skip the fragmented step of hundreds of broken fragmented installs that have been put in there departmentally over the last 55 years?" We tell them, have it your way. You want to leave the data where it is, we'll make a zero copy. You want to move it into ServiceNow, that's fine too. You want to run it in the hyperscalers, including running your ServiceNow instance with some customers want to do, we let you do that too. As Amit said, we already integrate with all the LLMs. Honestly, if I'm sitting back as the CEO, I spoke with one that runs the largest insurance company in Asia, and I think that I'm going into an insurance call telling them how we can improve insurance claims and all this sort of stuff, and he said, "Bill, I want to be a data company." Actually, I don’t want to rely on the old business model of my agents shaking everyone's hands. I want agentic AI to do that. I want to be a retail company. I explain our story and he tells me I have no idea. I said, "Well, we're still a young company, but now that you do, what do you want to do about it?" I want to go with you. I said, "Great, I'll send them the team. Let's get it done." When they hear this story properly presented, it's game, set, match. Our challenge is just simply to help you and the media and the customers get the memo because once you get the memo, this is the only viable option.

I appreciate the vision, Bill. Thank you so much.

Thank you so much. I appreciate the question.

And your next question comes from the line of Matt Hedberg with RBC Capital Markets. Your line is open.

Good morning. Thanks for taking my question. Congrats as well, and Gina, congrats on your expanded role. Really great to see that.

Thank you, Matt.

Bill, obviously, a lot of enthusiasm on AI, which is great to hear. Just given your global perspective, you have such a good pulse on overall IT spending trends. Did you see things improve from what we last talked about on September results? And how do you feel at this point versus, say, this point last year? Are things improving out there in general?

Thank you for the question, Matt. I completely agree with you regarding Gina's promotion. She is truly exceptional, and it has been an honor to work alongside her for the past five years. I am incredibly proud to see her receiving the recognition she deserves as a leader. Congratulations, Gina. Regarding the IT spending environment, I believe it remains consistent with previous trends, but there is a noticeable shift from merely being fascinated with AI to actively innovating AI business models. The top CEOs are prioritizing AI, and I see them taking AI leadership beyond the roles of CIOs and CTOs. This shift is not a disregard for these positions, but rather a recognition that companies must be led by AI. They are incorporating AI and data leadership into their organizational structures, ensuring that these leaders are present in boardrooms because they understand the importance of seizing this moment. If companies wait too long and become second movers, it could pose a challenge for them. Therefore, having a strong agentic AI narrative is vital, and when it aligns with a solid business model like ours, it can create a mutually beneficial relationship in terms of consumption and value. This is a very compelling story that encourages investment, as organizations see the value they derive from it. The public sector is also experiencing a significant transformation, which is impressive to witness. Everywhere I go, people are eager to discuss what is happening in America, and the administration has effectively raised awareness of these developments. Our strong presence in various agencies, military, and defense sectors has established us well. They recognize that when we engage, we streamline work processes. If we merely send everyone back to the office without adequate support, it could lead to decreased productivity. The ServiceNow solution has become increasingly relevant as we help reduce costs, enhance productivity, and inspire people. Additionally, this holds true in the private sector as well; in the public sector, there’s an understanding of the legacy issues they are facing. They are not interested in simply replacing existing systems or creating new silos, but in fundamentally rethinking their operations. We can extract data from their current systems, and with RaptorDB and our connections to leading companies, we can facilitate their AI transformation. They are eager to learn how to get started, especially since we offer a pricing model that is feasible for them and can have them operational in weeks rather than years. Our approach to serving government clients sets us apart from others in the industry.

Great answer. Thanks, Bill. Best of luck.

Thank you.

Thanks, Matt.

And your next question comes from the line of Brad Sills with Bank of America. Your line is open.

Wonderful. Thank you so much. I wanted to ask a question around customer employee workflow. It continues to represent a real key source of incremental growth. We certainly hear about real strong traction in the channel; is there anything to call out there? There's a lot in those two offerings, so would love to get any thoughts from you on what's driving the strength there. And my notion is that perhaps Now Assist is starting to kind of pull customers into those applications? Are you seeing any kind of halo effect or pull-through, if you will, as customers are getting ready for Now Assist in those categories? Thank you.

Yeah, it's a great question. Brad, the whole agentic AI revolution is a lot like the chicken and the egg, right? Is the agentic AI pulling the core, or is the core pulling agentic AI? In our case, both are working for each other, which is truly a beautiful thing. If you look at customer workflows, they're performing extremely well, as I said. The industry workflows are the fastest-growing in the company. In most cases, when you talk about CRM, you're personalizing that to an industry and a specific use case, which is perfect for us. Think about field service management, a really incredible quarter: large DoD agency, multinational imaging and electronics company, a European health care company, a semiconductor manufacturer, air transportation, communications and IT top energy. Suffice it to say this, and I want you to register this carefully: we have the best CRM solution in the market. CRM is not SFA. CRM is how do I sell to you in every channel, how do I fulfill what I sold to you, and how ultimately do I service you? We can do it on one platform. Our unfair advantage in IT is we know all the assets, we know all the operations, we know all the customer stuff in the ServiceNow platform today. Now that we can sell, fulfill, and service on one platform, the world is standing up and taking notice. They've had it with literally, in some cases, big companies. They have hundreds of disparate implementations from different suppliers that are not integrated to begin with. When they're not even on the same instance, can you imagine the chaos? This is extremely pleasing. We're going to run the table, and it's going to be a big, big thing. That's where we're seeing tremendous uptake in agentic AI. I want to tell you a story about ServiceNow because we drink our own champagne. Hear me out on this. We have AI agents servicing 85% of customer self-service in the company. We're automating 37% of our customer support case workflow through routing, categorization, and similarity detection. Agentic AI is transforming complex incident data into automated requests. It saved us 400,000 labor hours already, and we have an 80% case deflection in the last six months. I'm not talking chatbots here; we had them six years ago. I'm talking agentic AI agents. They're driving developer productivity by more than 20%. Here's the big thing on go-to-market, which I think a lot of people find interesting: The AI agents are helping to increase our prospect conversion rate by up to 16x. That's because they can curate the best leads based on the heuristics of all the data sources and put the top ones in front of the rep so they could sell more. Seeing things going from 99% fast to the customers' answer and going from four-day response to eight seconds is something that a lot of customers are getting excited about. We now have a great team that does it. We did 8,500 Now on Now engagement with customers last year. It's estimated that this year, we'll do 20,000. Regarding the employee, from recruiting, hiring and onboarding to providing all the services, just think about combining all the functions of a company to serve the employee. Everything is mobile but you get to know them so well, you're actually pushing solutions to them. They don't have to ask for it. When they do ask for it, it's instantaneous. This is freeing up 3 million hours of capability within ServiceNow. When Gina talks about we just did 200 basis points of margin improvement, we’re thinking about more of the same because we run the whole company on ServiceNow. Where we do have a system of record somewhere, it’s literally you have to go into the basement and take the elevator down several floors to find it. Nobody even knows. This is a whole different way of approaching enterprise software.

Super exciting. Thank you, Bill.

Thank you very much. Appreciate it.

Your next question comes from the line of Samad Samana with Jefferies. Your line is open.

Hi. Good evening, and thanks for taking my question. Gina, I'll echo the congrats, very well heard. Bill, maybe first a question for you. Just you mentioned now a couple of times how the deflation in costs at the computing level will unlock budgets in the application layer and the platform layer for ServiceNow. I'm just curious if we've been getting feedback from either early customers or those that were in the pipeline that there is a budget constraint or a tough decision having to be made, and that's what's leading to that confidence in the unlock. Or is it more of just a high-level observation? Just maybe help us understand what gives you that confidence that those dollars will shift over and have you already seen a change in the conversation?

I believe the discussions are quite clear and have been for a while. There are no shortcuts; hard work is essential. Working hard involves having a top-tier solution, well-structured design thinking, and a solid business case. Is it someone wants? Is the aspiration realistic? Is it practical? Can it be achieved in a reasonable timeframe? Ultimately, is it worthwhile? Does it provide the return on investment that will persuade customers to move forward? You cannot bypass steps in this process; it must be done correctly. What agentic AI does is fundamentally transform business models and how innovation occurs at the corporate level. Consider how entire companies can reassess their industry, the business they operate in, and the offerings available to customers. This relates to revenue, but on the finance side, why hire thousands of people when I can use these agents to support my existing workforce? As I attract new talent, I can supplement them with agents instead of backfilling positions. This dramatically increases my revenue per employee, positively impacting both margins and growth. This is why I genuinely believe that this revolution surpasses even the Internet; it is greater than the cloud and the mobile business evolution brought by the iPhone because it integrates all of them. That’s why we anticipate a $20 trillion GDP shift by 2030 due to its business impact. For every dollar wisely invested in AI, you can expect a five-fold return. Ultimately, it comes down to demonstrating that your technology is robust, your business understanding is solid, and the value is evident. Once these elements are clear, there are no obstacles to making a decision to move forward.

That's great. And Gina, maybe a follow-up for you. I think there is already a consent development. I think early on in the Pro Plus SKU, where if there's a certain amount of other tokens or coins associated. What have you observed from the early cohorts of customers? How many ended up getting into a level where it required the consumptive element? And maybe just help us think about how that will impact CRPO or what goes into CRPO going forward?

Thank you for the question, Samad. You're correct in noting that our Now Assist already includes a consumptive component. For example, there is a seat-based model where exceeding expected usage requires purchasing additional tokens. So far, the additional token revenue has not been significant. What we're discussing now is similar in nature, as the new agentic capabilities will be included in the existing Now Assist offering. The 1,000 customers who have purchased it will automatically have access to this feature. As they begin to use the agentic capabilities, we expect usage to increase significantly. While a baseline subscription is necessary, the real growth in revenue will come from increased usage. This approach is not fundamentally different from what we've done previously; it is now being extended to include agentic AI alongside the core Now Assist. Does that make sense?

Yeah. I think with agentic, as I was mentioning earlier, Samad, the amount of tokens you require for a lot of these tasks is because you’re breaking the particular intent of the user into multiple pieces of the task, and each of these requires a lot of work in the back end. That’s where this amount of assist you require just keeps on going up very, very fast. This is where this idea that today, your subscription will have some amount of it, and they keep on adding to it as they use more of it, makes it very easy for our sellers to go and talk about this thing. Customers can start using it. We have 1,000 plus customers already using it. It becomes a very easy, scalable and win-win for both us and the customer.

Thanks, Samad.

And your next question comes from the line of Mike Cikos with Needham & Company. Your line is open.

Hey, guys. Thanks for taking the question here. I just wanted to cycle back. I know in the press release and the prepared comments, you had cited this go-to-market optimization. Can you just provide a little bit more color on that front as far as what ServiceNow has in store? And I think, Gina, to the top of the Q&A with Kash's question on impact from consumption or federal, but do the go-to-market optimizations in any way play a role in your guidance philosophy here as well?

Yeah. I think it's very important that you understand that we are building strength on strength. We still have everything just as it was in the fundamental business model of ServiceNow: the subscription-based pricing, the focus on industry-specific solutions, packaged and targeted for personas across an enterprise, on the best platform in the business. That's where we are the control tower for AI transformation. In addition, we've brought about RaptorDB, which is an incredible database based on PostgreSQL, open-source standards. We acquired a company called Swarm64. We got the best database watchmakers in the world to put some secret sauce into making that a ServiceNow sensation. On top of that, we have the connectors into all the other major data sources in the world, from the hyperscalers to Oracle all the way through to Snowflake and Databricks where we'll be able to use that data and the automation of work. That is a net new business for ServiceNow. It also happens to be a $250 billion TAM, and we're in the early innings, but we love what we're seeing. On top of all this, we have this beautiful platform that has been enabled with what we call Now Assist, which is our agentic AI portfolio. When a customer procures our Pro Plus version of the platform that they've grown to love, they're now going to get these agentic AI agents with that platform. We will also give them some ability to look at thousands of different things they're able to do with it. That's included in that subscription price. But as they do more and more with it and more and more with our agentic AI agents, a meter kicks in, and we make more money on top of the core. The customer gets a tremendous return on their investment because now instead of people doing all this stuff, they have their agents working for them, and they wouldn't do it if it wasn't a great business case anyway. The consumption is smart because if you're using it, you're doing it, and you're getting value from it. So now we're all on the same value page. We still have the existing business model easily as it is. Someone asked an excellent question. It could be that the Now Assist portfolio and the speed of our innovation can get agents included in the subscription. That might significantly increase the subscription. We just got to let it play out. In any case, once they start consuming those agents and those processes are being done by the agents, and those assists are happening at mass scale, from an investor standpoint, you're going to really like ServiceNow a lot more.

It does. It does, Bill. Thank you for that. I appreciate it.

And Mike, in response to your specific question about our guidance philosophy, I want to emphasize that everything we've discussed is incorporated into our guidance. We take all of these impacts and considerations into account as we prepare our projections. So that's a very direct answer to your question.

Excellent. Thanks for closing the loop there, Gina. Thank you.

My pleasure, Mike. Thank you.

And we have time for one more question. The final question comes from Derek Wood with TD Cowen. Your line is open.

Great. Thanks for squeezing me in. I guess keeping on the same theme, Gina, I just want to unpack your comments around foregoing new subscription revenue for basically incremental consumption of agents, but it will take time to build up on the consumption side. Is the message here that you expect some kind of near-term headwinds in seat growth as more workloads are being pushed to agents and that it just takes time to start really moving the needle on the consumption side? If that's the case, just how long do you think this will take for this new hybrid pricing model to be net accretive versus kind of your previous Pro Plus sales motions?

Yeah. So Derek, thanks for the question. Just very, very clearly, not foregoing new subscription revenue. At the end of the day, Now Assist continues to grow extremely well. We talked about 150% growth quarter-on-quarter, the fastest new growing product launch in our history, and we absolutely expect that to continue to grow. The agentic AI hockey stick of value is going to take some time as customers start to use it. We're absolutely not foregoing; we continue to have strong subscription revenue growth, 20% constant currency at our scale at $12.675 billion. That's never been seen before. On top of that, you will get the hockey stick of agentic AI, multiple AI growth, as customers really start to get value in it. It’s an and, and not an or, and I want to make sure that's clear outside the gate.

And may I just say one thing, Derek, to build on what Gina said. Amit covered this earlier, but I don't blame you for asking questions because one thing I want to make sure everybody understands, if we didn't have any consumption attribute to the pricing model, everything stayed the same. You still have to subscribe to the Now Assist portfolio, and that is the same subscription model we have today. The nuance here is we've actually added what I would call an accelerator to the consumption idea because my idea really is that they'll buy more subscription because they're actually getting the agents included in it. As they consume that subscription, and Amit very nicely said, they will quickly because they're going to get so much value from it. We actually then kick in an accelerator or a turbocharger to the existing business model. We still have the existing business model easily as it is. And someone asked a great question. It could be that knowing with the Now Assist portfolio and the speed of our innovation, they get the agents for the subscription. That might actually significantly increase the subscription. We just got to let it play out. But in any case, once they start consuming those agents and those processes are being done by the agents and those assists are happening at mass scale, from an investor standpoint, you're going to really like ServiceNow a lot more.

Okay. So yeah, it sounds like you're really building up a springboard that's net new that the hockey stick is hopefully around the corner. That's clear. Thank you.

Thank you, Derek.

Thank you.

And ladies and gentlemen, this concludes today's call, and we thank you for your participation. You may now disconnect.