Name: Sana Enterprise: The AI front door for HR, finance, and every team
Uploaded: 2026-02-25T18:16:08.474Z
Duration: 55 min 52 s
Description: Sana Enterprise: The AI front door for HR, finance, and every team

Transcript for "Sana Enterprise: The AI front door for HR, finance, and every team": Hello, everyone. Welcome to today's webinar, and thanks for joining us. We're just gonna, wait another minute or so to let, everybody else, join the the the meeting, and we'll jump right into it. I see the numbers clicking up here, so I'll give it another thirty seconds or so and and jump right into the content. Thank you all for your patience. All right. Well, it looks like we've got a a steady number of attendees. Thank you all for joining. We appreciate it. We got a big crowd and a a jam packed agenda for the next hour, so we're gonna jump right into it. First things first, product statement, aka safe harbor statement. Basically, in a nutshell, please make all purchasing decisions based on currently available functionality. And while we may discuss future capabilities, we will highlight anything we mentioned that today isn't generally available. That said, just a couple housekeeping items as we jump into it. One, this is being recorded, and you will have access to it, within forty eight hours after this session is over. So if you wanna go back and recap what we've shown, you'll have the ability to do that. And if you have questions today during the session, don't hesitate to ask them. There should be a chat section on the right side of your screen. You can ask questions, and we have a number of experts on the phone to help answer those as we go through the deck. That said, I my name is Jeff Jones. I'm a senior enterprise architect in the office of the CAO here at Workday. I've been here for for almost fifteen years now. And as we go through the deck here, I'll let, my other two presenters, introduce themselves just to save time. And today's agenda, just so you get an idea of what we're gonna walk through, one, we're gonna start out with a little bit about Workday's AI vision, then jump into detail around Sana Enterprise and the details and some demos. We'll touch on some takeaways and a road map of how this is all progressing forward as we move forward. Once again, as I mentioned, Jeff Jones. I've been here at Workday fifteen years. I have a background in enterprise software, software development, and, of course, artificial intelligence. And, obviously, that's one of the big topics we're gonna be covering today around Sana Enterprise. Now as we all know, you know, AI has been around almost as long as computers and computer science itself. So but it's just been the last few years as we know it's really burst onto the scene with the invention and rollout of chat solutions like ChatGPT and things like that. So I wanted to give you a brief background at AI at Workday and how Sauna Enterprise fits into that platform. So with that said, I'm gonna jump right into it. As we all know, over the last, you know, twelve to eighteen months, AI has gone from basically an interesting experiment to something that really touches almost every part of how we work. But if we're honest, the way it shows up inside of most enterprises today is, well, at best, messy. We've all seen the issues. Multiple chatbots and assistants popping up in different corners of the business, individual teams trying different vendors and tools, pilots that never quite deliver the real value or impact when they go live that we might have expected that they do. And I'm sure you're all hearing from employees asking the same questions. What tool am I supposed to use for this? Is this AI thing even approved? Will it actually make me get my work done, or is it just another toy? So AI is everywhere, but it's not yet where it matters most. The everyday decisions and workflows that run your business across HR, finance, and planning is needs to be where AI is is taking its lead. So with all that said, when you hear people say AI, they often think of those generic Internet chatbots, but what we're focused on at Workday is AI for your workday, for the real processes that live inside of Workday HCM, financials, and adaptive planning, and connect to all of your surrounding systems as well every minute of every day. If we think about this from a product perspective, Workday has always been the trusted system of record for your people and your money, and that's a very powerful place to bring AI to life. Because when AI is grounded in your org structures, in your roles, your finance, and your HCM data, your plans, your controls, your security, and your governance, you get something fundamentally different than a generic chatbot. You get an AI suite that actually understands how your business runs, and that's what the real power really is. That's why when we talk about AI and how Workday as the enterprise AI platform for managing your people, your money, and increasingly your agents as well. But as AI has exploded, a new problem has emerged, and we've probably all seen it, that of AI sprawl. Different teams adopt different bots, your internal governance governance teams struggle to keep up, and the experience for employees is fragmented. So our customers keep coming back to us and asking two simple questions. Give us a simple, more conversational way for employees and managers to get things done in Workday, and make sure that AI actually knows our people, our money, our rules, not just what's on the public Internet. In other words, make Workday the intelligent system of action, not just a system of record. And that comes to Sonic, what we're really gonna get into in the detail today. Historically, we've all isolate we historically, we all started with isolated AI features and one off bots. You might have an assistant for HR FAQs in one place, a finance use case in another, maybe a planning copilot somewhere else. What's happening now is a shift from those scattered AI features to specialized agents that can actually run work on your behalf. And that's what we're building here. These agents just don't answer questions. They look at your data and the context of your data. They follow your policies and controls, and then they take actions inside of Workday and increasingly across your wider tech stack. The question is, how do you bring all that together into something that's coherent for your employees, but yet at the same time, safe for IT and InfoSec? And that's where Sana comes in. Sana is effectively a single modern front door to workday and your agents and an operating system to orchestrate those agents safely at scale. Instead of every team spinning up its own bot, Sana gives you one single user friendly conversational interface that employees actually want to use. And that's the real benefit. No AI is useful if employees aren't actually using it. And it also gives you a governed layer that lives inside a Workday security and process context so that the c level can trust what it's doing. And it should be mentioned, Sana isn't just a random bolt on. It's embedded in Workday with in respects your roles, permissions, and audit trails from day one. Now before we bring Shaitman in to talk, I wanna clarify how we package this because there is some naming that can be confusing if you're hearing it for the first time. You'll hear us mention as the slide depicts Sana Core and Sana Enterprise, but it's important to understand that these are essentially the same product and experience. It's one unified AI front door offered at two different tiers of reach in automation. So Sonic Core, what we're looking at here is your Workday centric start. It's embedded in Workday. It's one conversational experience for employees and managers. It orchestrates, it provides orchestration for your Workday native agents. It does multistep workflows inside of Workday, and it provides you enterprise search across all of your Workday data. It's the baseline we expect almost every Workday customer to adopt because it immediately improves the HR and finance experience and productivity within Workday. Now then comes Sana Enterprise, and this builds on that exact same foundation and extends it. It's the same front door, the same user experience, the same Workday native intelligence, but now it also connects to your broader tech stack, email, calendar, IT systems, sales CRM systems, collaboration tools, and more. And agents run end to end workflows across those systems, not just inside Workday. And, of course, you can get strategy and change management services to make sure AI isn't just a pilot, but actually changes how people do work inside your organization. So you're not choosing between two different projects. You're choosing how wide you want to use Sana and this front door and agent orchestration layer to reach on day one. Core, Workday led, Workday only journeys. Enterprise, Workday at the center, plus automation across all of that other tech stack that you have in place. Simply put, it provides the richest possible understanding of your people, your finances, and your plans, and Sana turns that into a unified AI experience where employees can find information, take action, automate work, and Workday first and then across your entire ecosystem. And with that all said, I'm gonna hand it over to Shadman, our, GTM lead for Sana, who will introduce Sana Enterprise and more concretely show you what it looks like in practice, how your employees or managers can find, act, and automate through that single front door, and then we'll jump straight into a demo. So with that background said, I am going to turn it over to Shimon. Thanks so much, Jeff. I just pulled up. So I wanna say hello, everyone. Thanks for coming to this call. Shabb Menir, I'm a go to market lead for Sana Labs here in New York City. Really sad to be here with everyone. And why don't you just jump right in? You just heard from Jeff how Workday is investing in AI and agents to transform how decisions get made across HR and finance. What Cylon Enterprise does is put a single intelligent front door in front of all of that power. Instead of employees guessing, do I go to Workday, a portal, a ticketing tool, or ping someone on chat, they go to one single place, Sonos. Yeah. K. From there, Workday's agents and other systems go to work in the background so your people don't have to think about which tools do does what. They just state the outcome they need, and the right agents handle the rest. Going to the next slide, AI is only as smart as the context you give it, and Workday has the deepest context for how work actually runs in your organization. Over 75,000,000 users, 2,000,000,000,000 transactions a year, and more than twenty years of unified people and finance data. That's our system of record for how your business really works. Today, that context is spread across HR, finance, IT, tickets, email, and shared drives. Oh, you guys can't hear me? Guys can't hear me? Is this what I'm seeing? Let me see if I can't. Is there ah, yes. So I think I can hear mixed signals in terms of who can hear me and who can't hear me. So I'm gonna proceed as if you guys can hear me. Hopefully, some of ones that cannot just check your audio, settings, please, and we'll just keep going on. Thank you folks that are responding that you can. So it's going on with it. Your employees don't know where to start, and your AI experiments end up being scattered and hard to govern. The opportunity in front of us is to take Workday's context and turn into a true system of action where agents can safely run high volume policy different workflows end to end, not just give you a better looking chatbot. This is exactly where Sauna Enterprise comes in. Think of it as a unified front door for getting work done with AI across the entire business suite. In one conversational interface, employees can find answers in your trusted knowledge, act by triggering workflows and approvals, build outputs like docs, analyses, or dashboards, and automate multistep workflows that are used to take multiple tools and handoffs. Behind the scenes, Workday's own agents plus other enterprise systems are doing heavy lifting. But to the end user, it feels like one simple, consistent experience that just works on day one. Most AI vendors are still selling slices. An HR assistant here, a sales assistant there, an IT bot somewhere else. That's how you end up with three, five, sometimes 10 different bots that employees have to navigate, and none of them see the full picture of the business. Sana's job is different. In an agent everywhere world, Sana is the primary interface your employees use regardless of which underlying agent or system actually does the work. That means one place to go, one AI experience to learn, and one orchestration layer your CIO, CHRO, and CFO can govern instead of a sprawl of disconnected ass assistance. Going a little under the hood, Sana Enterprise is tightly grounded in Workday system of record and security model. At the bottom, you have your core business applications, Workday for people and money, plus systems like CRM, ITSM, data platforms, and any custom apps you rely on today. On top of that, Sonra provides an agent system of record, a unified registry where you can manage Workday native agents, third party agents, and custom agents all in one place. Our Orchestration Edge engine lets those agents reason, plan, and execute work across systems, always using live permission to business context. And because we inherit work identity, roles, and policies, every single action is auditable, compliant, and aligned with the controls you already trust. Let's make this real in HR. Every HR team is flooded with repetitive questions, PTO, benefits, policies, how to steps for standard processes. Lathana is the front door. Employees can ask those questions in plain language. How much vacation do I have left? What's our parental leave policy? And get instant answers grounded in Workday data and your HR knowledge. Routine tickets never need to be opened. The agent handles them end to end, and only true exceptions get routed to a human. In the demo, you'll see what that looks like for Workday only flows. Everyday HR questions get resolved quickly, accurately, and under your existing governance. Going to finance, the same pattern shows up, where stakes are even higher. Today, your team spent hours hunting down payroll anomalies, reconciling ledgers, and preparing for audits by stitching data together across your systems. With Asana's the AI front door, and Workday is a system of action. Agents can continuously monitor Workday payroll and financial data, flag potential compliance issues early on, and automate large portion of reconciliations and recurring journal entries. Your finance team stay in control, but they're no longer buried in low value checks. They review, they approve, and they step in only when judgment is really needed. You'll see in the demo how this shrinks manual effort while actually improving control. To summarize before we jump into the product, SAN Enterprise is the AI front door for how work gets done across HR, finance, and beyond. It gives every employee one place to go to find answers, take action in Workday and other systems, build the outputs they need, and automate multistep workflows that are used to require emails, tickets, and spreadsheets. Crucially, all of that is grounded in Workday's people and money context and governed by Workday's roles and policies. So you're not trading speed for risk. So with that foundation in mind, I'd love to hand it over to Tanti to bring his this to life. In the demo, you're gonna see three things. First, Workday only flows where Asana is the front door, and Workday agents do the heavy lifting. Second, crosses and workflows that span work and other tools. And third, how it all shows about one consistent and two of experience for your employees. Tanti, over to you. Thanks. Appreciate it. So nice to meet you all. My name is Constantine, and I sit on the go to market team here at Sana. I'm responsible for ensuring Sana Enterprise succeeds in our core markets by driving a focused go to market strategy, coordinating effective launches, and rigorously optimizing performance across channels. My goal with the time I have with you all today is to give you a sense of what this new experience is going to be and what sort of this feel and look like at Asana by providing a high level overview of the key features and capabilities that drive outcomes for our customers and partners today. And then also walk through some example use cases to give you a feel for what Sana can really do. And then next will be a quick discussion on road map, what to expect in terms of functionality for the remainder of the year. And then last but not least, there's also a quick segment on how to actually get started with Asana in a few days. So to start off, let's let's jump into the tool and share my screen. So I'll I'll start sharing your screen, and hopefully, you can all see this. So before jumping into to use cases or how Sonic and Augment day day work, I want to provide an overview of the key features first so you have a mental model for what the tool can do for you. So first of all, the entry point for Sana is going to be your current Workday tenant as you can see here. So within the home page of your tenant, you'll see you'll be able to see a link that says like this, super intelligence for work, and you click on it and it will take you to Asana. If you do not see it, your account your account team can help you navigate to that link. And then when you you you click that link, you'll be redirected to straight into Sana, which which will look like this. And this is where I want to sort of show the three fee key features that underpin your day to day experience in Sana today. So so first, what you're looking right now is the AgenTix chat. So this will look and feel very similar to, like, ChatGPT or Gemini if you have used those tools before. And this is purposeful so that you do not need to spend time getting used to completely new user experience. Right? We truly believe that this clean design just makes your day much more easier. And the first capability in argentic chat is the ability to to hear search the web, for example. So you can toggle on off web search. You can have your your different integrations here enabled or disabled depending on your goal. And the second ability is to to indeed sort of query the chat for knowledge sitting across many different enterprise tools as you can see here. Sort of all the different enterprise tools that you use on the day to day, you can connect and you can have them included in your queries or excluded based on what your goals are. Now lastly, you will see a small lightning bolt here on left hand side of the Jente chat. This is where you can run what we call workflows directly from the chat interface. You can think of workflows as templatized prompts to automate repeated or redundant tasks so that you do not have to type the same prompt in the chat over and over again. So, yeah, those are those are the core components of the chat. Next, I want to discuss integrations. So as you can see here, setting up integrations is is very easy. Right? We sort of here have a list of integrations that are they're ready out of the box. All you have to do is click on them and then connect them to to your specific to your specific interface or your specific app, usually typically through SSO or sort of other authentication tools that you might have in place. And once you have those set up, that's really when you unlock the next level of Sana enterprise. Right? Because then this agentic chat and these workflows don't just sit on top of the web, but they sit on top of your enterprise knowledge that is specific to you and your team and your company. Now what I want to go what what I want to get into into next is is the workflows. Right? So this is very unique to Sana Enterprise. So this is where you can create a whole library of use cases or template size prompts to automate repeatable or redundant tasks. Right? So not only do you have a full library, it's also very easy to to create your own workflows. Right? Just by click simply clicking your workflow, you could set up certain triggers, you can add certain steps, and within each step, you can specify which tools it needs to call or which tools it needs to write to. Right? And an example that I like to show here is the performance review prep where you have all these different steps, where first of all, it will go into your workday to look at your goals, to review what you have set set out for the year, and then it will actually look into all these different integrations that you have set up. So, like, project deliverables in my shared drive or certain discussions that I've had in my meeting notetaker or team interactions that I've had in my Slack or Teams or or actually the metrics that are set out in Salesforce to all get all see how those map to my goals that I've set out in Workday and eventually give me, like, a draft of talking points that I can use for my conversation with my manager. So very powerful workflow that is very easy to automate. Right? You can just have it run yearly in, like, December when your review when your reviews are due. But it's also very easy to edit. And for example, in this case, what I would first wanna do if somebody else made this workflow, I would wanna copy it. And then I can edit to tailor it to my specific needs or maybe my team does performance reviews a bit differently. So in that case, you can create sort of very scalable templates to do tasks that are relevant across your team, but then everyone can copy those templates and make it very personalized to the way they work. And that's really the power of Sana Enterprise. Right? It's a citizen led tool that you can scale across the organization, but at the same time, make very personalized to to the individual or the team. Now we'll we'll we'll run this with this later, but before I do that, I I just wanna give you an overview of of the four main use cases that I wanna go through today. So some are relevant to HR, some to IT, and others are more sort of function agnostic. I will call those out for for each use case. But before jumping into the demonstrations, I want to provide a quick overview and descriptions of what they are. So the first use case we're gonna show is a performance review generator. As I already sort of showed before, but this use case is designed for employees who need to prepare an upcoming performance review with their manager. It pulls goals and and and project documentation from SharePoint from the last year and drafts a performance review from scratch. It also provide instructions for how to upload that performance review into Workday. And going forward, you will have the ability to push that performance review directly into Workday from Sana as well. Now the next use case combines information from Workday and augments it within with information from the web. This is the health services account contribution analysis use case as you can see here on the right. The goal is to provide a high level impact assessment on take home pay if you were to max out your HSA contribution. So imagine you are HR manager onboarding 100 new employees who are getting used to a new benefits program, and 50 of those employees are on HSAs. They will have the question of how their monthly take home pay will be impacted based on their new compensation data. And then as an HR manager, instead of doing those calculations yourself or maintaining a complicated Excel spreadsheet, you can create one HSA contribution analysis workflow that we will run. You can then share that workflow with your employees. They can run it themselves to understand the the impact of maximizing their HSA contribution on their take home pay. So you can imagine this to be extracted to to other benefits and and so you might want to do when when they join join a new company. Now the the third use case I wanna show today is creating a Jira ticket or a ticket within an an IT service management platform. This is powerful because it's very relevant to IT and has real time saving implement implications. Last is a function agnostic use case that many of us are familiar with, which is preparing for meetings. Right? Everyone has meetings. If you have five to ten plus hours of meetings every week, it's helpful to have a tool that enables you to prepare, in a much more streamlined way. So this use case leverage the Outlook integration that Sana has to look into my meetings, specifically ones related to information security in this example, though can be any topic. Right? It pulls the questions from the meeting description that I need to prepare for, then generates answers and talk tracks for those questions based on information accessible within SharePoint. So these are assets like information security, documentation that's relevant to the product. We use InfoSec as an example, but it applies to any meeting topic. So now I'll jump into a demo of each of these one by one. As I mentioned, all the core functionality in Sana for the use cases, it built with workflows functionality where you build a template size prompt and run it directly from the Jenti chat for repeatable work. So I will skip to the workflow functionality here. So let me know if that works. Yep. There we go. So so as you can see here, if I go if I go here to my workflows, I can go to prepare the performance assessment. So it provides step by steps instructions for for how to submit that self assessment to Workday. In the future, as I mentioned, you will be able to upload this performance review directly to Workday with one click of a button. And I could sort of run it now. So as you can see here, draft self assessment submitted, and then later submitted to Workday. Now what I can do is I can save the workflow, and then I can click run now. If I run now, it automatically jumps into the Gentic chat. One of the most powerful aspects of Sana for information and security purposes is that we provide full transparency into all the documents and information Sana shifting through to generate the answer. This is powerful for security audit teams that want to know exactly what Sana is doing under the hood to ensure that the outputs can be trusted and validated. In addition, Sana provides transparency into tools that we are being called on the Workday side as well. So, yeah, now if I click that away, yeah, you can see an output. It provides a summary of all the goals that I set for myself at the beginning of the year with inline citations to the documents pulled from SharePoint. So it's a robust output. It pulls quantitative data directly. It generates a draft assessment that I can paste directly into Workday. It includes an overall performance summary, my progress against goals, each goal listed with key headers and inline citations to validate that this information is correct. Now if you let the LM continue, it provides the strength that I demonstrate throughout the year, developmental areas, and how I can address them going forward, and potential focus areas for the next year. It also provides step by step instructions for how to upload this into Workday. And in the future, you will able to do this directly within InSana. So that is the performance review generator. The next use case I wanna show you guys is the HSA contribution analysis. So as you can see here, if I click on that workflow, the workflow is also a three step workflow similar to the last one. The three steps are are straightforward. It first retrieves my annual compensation details from for Workday for a given year. Second, it queries the web for HSA annual contribution limit. And then third, the workflow does calculations to determine the impact on my monthly income if I maximize my HSA contribution. So I'll I'll fast forward a bit so you can see the the workflow directly from the agenda chat. It provides transparency, sort of telling you that it's interacting with Workday and pulling the necessary information. If you click on the interacting with Workday icon, you can see that all the tools that Sana is calling. So this is important because Sana might be calling multiple tools within Workday to collect this information. In this case, I asked for compensation. It's not just pulling my annual salary, but also including my benefits because those are factors when thinking about an HSA contribution. You can see all the transparency provided, and it also tells you that it needs to search the web to determine the maximum contribution. If I fast forward a little bit, you'll also see it looking up on on the web as you can see here, And then it generates the output as you can see here. So it it generates the output. It summarizes payroll details for 2025. It shows the maximum HSA contribution you can make for the year and is nuanced enough to understand that HSA contributions vary by self only coverage or family coverage. It gets into the detail if that is relevant to you and provides citations to the IRS links where it's pulled the numbers from. It shows the calculations and the impact to your monthly income, including relevant nuances. And this is an exercise that may that might take employees multiple hours in a week as they are onboarding and may may already be stressed. Right? So with one click of a button, they can run this workflow and get a meaningful answer. So the next use case I wanna show you is the create a Jira story. Right? So in this case so the the this use case is more applicable to IT. We we again can since more applicable to IT, we can leverage the workflow's capability here. But before jumping into the workflow, I want to show you the the destination system. So what what you can see here is this is a Jira project before I run from the workflow. As you can see, there are sort of eight user stories. And after I run this workflow, there should be there should be nine. So after showing you this Jira product, we'll we'll sort of jump back into Jira after running the workflow to show you that we populated with a new story. So in workflows, you could see workflow called create Jira ticket. This is the same one I referenced earlier. It's a simple workflow with two steps. You know, I build it in less than sixty seconds. The first step summarizes insights from a meeting transcript between product manager and engineers. In addition to leveraging knowledge from your integrations, Sanla lets you upload file as well. In this case, I'm uploading a a meeting transcript. Yeah. I'm I'm uploading a a meeting transcript into Jira. Right? And it pulls the fields required to to call the Jira API and create the user story, and it automatically maps insights from the meeting transcript to the API fields needed to create the issue. With one click of a button, I can I can click run, and you can see it running for a bit? This typically takes more time when writing to systems because it wants to make sure it gets it gets it right. It must map the insights from the meeting transcript to the actual fields. Jira needs to create a user story. It writes some code and also makes transparent which issues and tools need to be called and generated to make this happen. You can see the Jira, get projected tool and API call made transparent in the dialogue box, and you see it calling, Jira create issue. An important person principle at Sana is that while we want to automate as much as possible, especially, like, rogue task, writing to systems is a high stakes is a high stakes action. Yeah. I can try to zoom in. So do you not want you you do not want garbage in your systems, and we understand that AI can sometimes generate low quality outputs. We have design that we call human in the loop interaction. You write every action you you take within Asana, whether through a workflow or through the agentic chat directly, presents you with a confirmation card. This card asks you to confirm or deny the information you you want written to the source system. In this case, you can see a card that shows all the information extracted from the meeting transcript. I can read through it to confirm that it looks good or rejected. So, yeah, to prove it, right, I wanna here jump back to Jira, and you can see a new user story titled implementing async audit logs and CSVs with information extracted from the from the meeting transcript populated in the description. This might be something that takes ten minutes for an engineer or IT person to do. And if you do this 20 times a week, that is two hundred minutes of time saved creating tickets. So that was the the creating a Jira story. Next is a function agnostic use case. So here, we're going to prep for a meeting. So this function agnostic use case focused on preparing for a meeting or call, leveraging details leveraging details in a meeting invite and information available through an integration. In this case, SharePoint. Again, we jump into the workflow area here. And in my workflows, I scroll down and find an in InfoSec meeting prep task. This is a three step workflow and it's straightforward. It looks into my Outlook meetings happening tomorrow. The second step checks specifically with references to InfoSec in the meeting agenda or questions. It could be any topic, not only info sec. And then the last step, drafts answers to the questions pulled from the meeting description. If this is a complex meeting such as a two hour workshop, preparation might take four hours. If it's a a forty five minute meeting, it might take less. The point is that you save time on synthesis of knowledge and orchestration across many different tools at once. If I run this workflow with one click, as I'll do in a second so, yeah, if if you you see that Sana again provides transparency. Right? It says it's fetching. Yep. Right. Just one sec. I'll save the workflow, then I'll run it now. There we go. So you can see that Sana again provides transparency. It says it is fetching all the calendar events for the next day and listing them out. It then provides transparency into all the documents it is shifting through to answer the info sec question that came from the meeting description in Outlook. It reasons over those documents. And then if I fast forward a bit, you'll see right? You'll if I fast forward a bit, you'll you'll actually see the outputs. And then section by section, it lists each question and provides a robust top track with inline citation to the SharePoint documents it used to generate those responses. If you put this into a document, you can copy and paste it. In the in the future, we will make it possible to push some of this information to Google Drive and similar tools. And this should give you a sense of how Sana can augment your day to day work with these example use cases. If you have further questions on capabilities or how Sana can unlock value for you and save time day to day, please leverage your account team. So so that wraps up the the demonstration. Now I want to do a quick segment on the road map for Sana Enterprise over the next, six to twelve months. The first column tied to February 11 shows you that, what you can expect to see right away, which is access to the Asana app with everything I showed you, the unified chat, web search, file uploads, integration with Workday, the ability to read information with ATM and finance, write backs to ATM and finance, and the initial enterprise connectors like SharePoint, Salesforce, Zoom, Google Drive, Outlook, and others. In a few months, you can expect three major pieces in the middle column. Workflows, what we're calling and what we're calling an inbox. An inbox is where you will manage notifications from the workflows you generate. A workflow might output something, and then the output will appear in the inbox. So we have a full overview of what AI is generating and how to manage those outputs. Second is enterprise semantic search, which lets you search across many files directly within Sana instead of only through the agentic set. Plus an extended set of connectors including ServiceNow, Jira, which I showed today, then Confluence, Slack, and others. Towards the second half of the year, we will introduce custom connectors leveraging the MCP protocol. You have other tools that do not have out of if you if you have other tools that do not have out of the box integrations, you'll be able to leverage a custom m c MCP for those. We will also support agent to agent interactions between Sana and other agents you may be building with third parties or other workday agents. And lastly, you will be able to do to do analytics directly within Sana, leveraging code generation, chart, and graph generation, and similar capabilities. There's much more to come. And what we covered today is just scratching the surface, and hopefully, you're excited for what is coming. So with that, getting started with Sana Enterprise. Right? The the core message is to leverage your accounting and then initially first sign the UMSA and order form to get into the the flex credit agreement. Next, your account team will create the the sign on workspace, and this will be accessible via your Workday tenant tenants, which will be the entry points. Then align on security protocols via the agent system of record where you manage and access all governance related controls needed to use SANA. And finally, get into the tool connected to connected third party integrations, which can be done by an administrator, ingest knowledge sources, experiment, and provide feedback. So next steps. Now let's get into next steps for each. So if you have more questions about certain certain SKUs, the fastest way to get answers is to reach out to your account team. And as we wrap up today's presentation, we will try to jump in and answer follow-up questions you have, but we recommend reaching out to the account team for more detailed questions. And to access today's recording, you'll soon be able to use the link you registered with. You can click that link to access the recording. You will we will also email to you so you can rewatch the demos and revisit the the road map slide. And then we want to call out a few more things before we wrap up. So if you are interested in additional customer webinars, please scan or access the the link shown here on the screen. So the this presentation is, you know, one of our customer education series across the Workday platform. So there's a lot of additional web webinar content that you can access if you scan that code and and press the link. So, yeah, this is all the time we have for today. We have the accounting logged on into the q and a, so we'll continue to to answer the questions that you have. So we'll also leave sort of the webcast open for for a few minutes so you can ask your questions. And, yeah, this is all the the time we had for demonstrations. We really appreciate your time. We want to make sure you get access to the content you need, whether that's through the accounting, the webinar recording, or reaching out to us directly. We are obviously very happy to help you in any way that we can. Thank you again for joining us, and we hope you have a great workday.