Hello, folks. It's incredible to see you all here in New York. As Lauren mentioned, when I started Sana, I was most obsessed with the teams that we built. I wanted to build truly a generational team of some of the most incredible talents on the planet. And as I was doing this, I tried to study some of the greats. And what I discovered through this study is that most of the greats throughout history viewed the most important product that they would ever build was the company itself. The team, and how they organized. Whether it was Woz and Steve Jobs in the original Macintosh team, or the group at Xerox Parc in the late 70s, or the teachers and students at Black Mountain High, they operated in quite different ways. They were small, interdisciplinary teams of polymaths. They didn't really operate with the traditional command and control model. They introduced novel ways of operating, and what I believe is that these models will come back. This is the era of the return of the polymath. And as Ethan mentioned, the advancement in agentic AI enables us to fundamentally re-found our companies, re-found our products to serve this era.
At Sana, we use this quite simple mental model to try to articulate what this will mean for our teams and our products. It's the five levels of autonomy. The first level is quite simple, really. It's the model that you already know—the pyramid. Tickets flowing between humans with a lot of clicks across dozens of enterprise systems. Then we move to the era of co-pilots. Here, AI models are drafting suggestions for us. We have a dozen pages open with different co-pilots and different interfaces that are assisting us in our work. At level three, this is where it really starts getting more interesting. Agents start actually doing the work and looping in the humans when necessary. At level four, we call this policy-bounded autonomy. We see the AI systems using our knowledge and our policies to automate work more end-to-end. And then we hit the apex. This is when AI systems become autonomous. Based on our rules and guardrails, they can self-improve these systems and run work end-to-end. Getting to this apex, we think, will be a long journey. And there are three core components that will enable this.
The first one is a multiplayer AI experience. AI systems today are largely single-player. You sit there with your AI system, instructed along the way, but you don't really share context. You really don't loop in different departments or multiple agents. We think this has to change. You need a multiplayer AI experience that routes between teams of humans and teams of agents and brings them all together to collaborate. The second is living memory. Here, we need AI systems that recognize our company's policies, our company's knowledge, and can self-update this. The self-driving knowledge base and the self-driving policy graph. We move from systems that have amnesia and forget every single time we talk to them to systems with a company memory that self-updates. Then we have the final component, which brings together all of this into ambient agents. Today, all of our agents are sleeping until we start talking to them. I want agents that never sleep, that run 24/7 in the background, checking compliance, updating the rules, developing new workflows on my behalf. This is what ambient agents enable.
Building on these primitives, today, we're incredibly excited to introduce two new products. The first one is Sana for ITSM. This enables Sana to run IT for you. Workday already has all of the rules and policies, covers the full employee journey. With Sana for IT, it can solve the tickets too. It can handle the full journey for an employee along every single step. From onboarding to offboarding to just-in-time requests, Sana solves that for you. The second product is the Travel Agent. The travel agent makes booking travel a truly delightful experience. A conversational experience which automatically files the expenses and updates the budgets. It's truly magical.
I thought I might want to show you how this all comes together into a single experience for your employees. How agents can fundamentally reimagine the employee experience and provide a concierge for every single employee. Jenny, do you want to bring up the phone?
So here you can see Sana. Sana brings all of our agents at Workday together into a unified application. So whether it's the Recruiting Agent, the Travel Agent, or Sana for ITSM, or any custom agents that you built, as an employee I get one unified interface to experience all of this. So I thought we might start with booking my trip home. Can you book a flight home for Sunday? Brilliant. Sana gets going. Here Sana is looking at my individual memory. It's looking at the company memory and the company policies, looking at my calendar and setting up this travel. But this is going to take a couple of seconds, so let's have Sana run this in the background. Then I can jump back to my task list. Here I can see all of the stuff that Sana is working on in the background. We have hiring five AEs for Singapore, Salesforce access to Kai, and of course the travel trip.
So let's start by looking at some of the work that Sana is doing here in recruiting. I can see that Olivia is building out her team. She wants to add another five AEs to Singapore, and Sana is orchestrating this process. I can see the candidate pipeline, but Sana also leaves traces along the way. So I can see every single step what Sana has done. From creating five job requisitions, sending five requisitions for review, publishing the job posts, scheduling 38 first-round interviews, running the hiring loops, and then sending it to Olivia for approval. So that all looks good, but then Sana is going to elevate some of these for me for approval. So let's see here. Let's go through some of the human-in-the-loop steps and approve them. So the first one here is an offer letter for Aisha. What I can see is that it all looks within bounds, so I think this one is pretty good to approve. I'll send that out. But what's interesting here with the pattern that we're developing with the living memory is that Sana learns from every single interaction. Here it notices a pattern that I've repeated and asks whether it wants Sana to run that for me the next time. So here I can just say 'yes, update the policy,' and Sana writes that back into the company memory. So here's an example of in-band. But what Sana can also do is, of course, flag the out-of-band ones. So here we have Priya. Priya is actually getting a very good salary. I hope the Sanians in the team doesn't see this one, but I'm actually going to send this out as well. Congratulations, Priya. Better do a good job.
But let's look at Sana running IT for me as well. So as mentioned, Workday runs the entire employee lifecycle from hire to retire. And along the way, you will have access to different systems. You'll need to resolve IT requests and so on. What you can see here is that Sana routes these tasks to me only when needed, auto-resolving the tasks that I don't need to do. So here we have Kai. Kai is our new sales lead for APAC. This all looks reasonable to me, so I'm going to approve this request as well and make sure that Kai gets access to Salesforce before she joins her role. But here Sana notices a pattern again. So it sees that the last couple of sales roles that we've had, I've always approved them. Do I want to give that autonomy to Sana the next time? I say 'yes, always approve.' Sana adds that back to the company memory and can then resolve that for me next time. Brilliant. So that is Sana for IT, running the IT workflows in the background.
But if you all remember, I also had to get back to Stockholm at some point, so we started this with a trip back to Stockholm. Here we can see that Sana has provided a suggestion to me, checked my calendar so I get back right before the product review, which is good. I really want to stay on top of everything that we're building with this amount of exciting things going on, so I'll book that. But Sana doesn't stop there. Sana also goes through, splits the expenses, files the expenses, updates the calendar for me, and does all of that work in the background. Our hope is that you've filed your final expense at this point. And this is a fundamentally new pattern of how to use enterprise software, moving from co-pilots to thousands of agents running in the background. Here I can check in on all of the tasks that Sana has completed for me, from the Salesforce access to the Northwind renewal, rolling out the new EU expense policy, and a lot of other aspects. We see how proactive agents, ambient agents constantly running in the background, living memory, and the human plus agent collaboration is coming together into a truly magical experience.
Thanks Jenny. And building this, I think we truly have one of the most talent-dense teams on the planet. We've gathered some of the best designers, researchers, engineers, and product leaders to reimagine how you use enterprise software. We have incredible product velocity and we're only just getting started. So as we make this transition, I think today, hopefully, we can officially announce the death of the co-pilots. We're moving from employees with dozens of open interfaces with different co-pilots to the agent-operator model. We're moving from 10 co-pilots per employee to thousands of agents that they operate. We're moving towards proactive intelligence, always-on intelligence. We're moving from systems and agents that constantly sleep to always awake agents. We're moving from agents with amnesia to agents with perfect memory about our organization and our individual preferences. This is truly a re-founding moment for us at Workday. But it's not the first one. I have the pleasure of working with one of the greats of our industry who's navigated this again, and again, and again. And I'm really excited to say that he's back. I want to welcome up my good friend and mentor, Aneel Bhusri. So what do you think?
Do I think we're going to be the leader in ITSM overnight? No, it's going to take time. People all think of Workday as a Fortune 500 solution. We have over 300 of the Fortune 500 companies running Workday, but we started out in medium enterprise and worked our way up. I think what you're going to see with ITSM, based on the great products you built, we'll start up there adding more and more ticketing capabilities, more and more workflows, and we'll keep moving up market. Much more functional, much more organic, and agentic, and I think it's going to be at quite a lower cost. That's the way you start every new product. You start in the lower end of the market and you work your way up as you add capabilities. I think that's going to be the case with Travel as well. When I think about Workday, I think about great technology companies. I look at the Apples, and Microsofts, and Googles of the world that have transcended technology generations. They were successful in all generations. For Workday to be considered a great company, a great technology company that has great values and takes care of its customers, we can't just be a winner in cloud. We've got to do a great job in AI, and that's kind of the reason I came back. It was, honestly, to work with you. I'm wearing this in your honor—for people that aren't tennis fans, this was one of the original Björn Borg jackets from Sweden. It is. Very subtle reference, right? And I'm a huge believer in what you're doing, and excited about your new role, and I love working with Gerrit. I mean, you know, the Europeans are kind of taking over Workday.
