Name: Launch Event: Data Cloud & Developer Agent — Unleash Your Data and AI Agents Across the Enterprise
Uploaded: 2026-09-01T09:16:09.792Z
Duration: 53 min 16 s
Description: Launch Event: Data Cloud & Developer Agent — Unleash Your Data and AI Agents Across the Enterprise

Transcript for "Launch Event: Data Cloud & Developer Agent — Unleash Your Data and AI Agents Across the Enterprise": Good morning. So 10AM set for your time, and we're just waiting a little bit to have hopefully, I will grab the coffee, but we will be starting quite on time. Just giving a few seconds to everybody to find the right link to join, and then we'll kick it off in a second. Just looking back and forth. I'm seeing a few more people joining. But it's one minute after ten. And, as a German, I'd like to be on time. And as we're all busy, I think we should start on time as well. So hello, everyone. Welcome to today's webinar. Kicking off our launch month September as we approach our second release date this year. Today's content is all about data cloud and develop an agent, that extend our Workday build capabilities, and I hope that's the reason you're here for, and I'm delighted to have you all with us. My name is Alex Majduker, and I will be hosting today's Coffee Morning Session. I'm joined by my colleagues, Conan and Juni, who will show us practically what the solutions are about, and they will introduce themselves, later on. We will be recording this session and making it available afterwards, so no need to screenshot anything. Really important, please use the FAQ section on the right to submit your questions. On the right top, there's chat and q and a. The chat tab will not be really monitored for questions. So any questions posted there will end up lost in the void field. So please make the views of the q and a to ask any questions. We will try to answer them. If we're not answering them in this hour in this session, we will basically do afterwards as well. Here's a quick but really important legal disclaimer before we begin. Please make your buying decisions based solely on features that are currently live and available. Any future functionality or robot item items we just discussed today, and we will discuss a lot of them, are nonbinding and subject to change at any time. This is today's agenda, and we will jump straight in starting with why now. First, as mentioned, we are approaching our second release date on September 19 where we will launch a lot of great functionality across the Workday platform, including the general availability of Workday data cloud. So that's the reason why it's the launch months. Second, we have two important on-site events coming up, Workday Rising in Las Vegas and Workday Rising in EMEA. Due Rising in Las Vegas, we will see developer agent become generally available. So as time flies, we will keep the momentum going with even more enhancement throughout our upcoming 2027 release cycle. So really exciting times starting now with September and, going over the next two, months, basically. We're really looking forward to having great conversations around those topics, and as such, we will go into those. Beside the timeline, obviously, our platform is evolving to be agent ready, and those enhancements are key for you as our customers. For two decades, Workday has been the trusted foundation for your HR and financial data. In today's AI era, this foundation is more valuable than ever. It provides the precise context and security rules that AI needs to operate safely within critical business processes. So to fully leverage this potential, we are evolving. Workday is transforming from a pure system of record into a platform for ages. And the foundation for this is our data and context. Decades of approval chains and compliance rules are deeply embedded within Workday. So well, how can you extend all of this? That's where Data Cloud comes in. It serves as a knowledge base for AI, making your data secure and immediately agent ready. This is where Workday built Connect, our overarching umbrella term for all developer capabilities. And within WorkdayBuild, you have an agent ready developer platform. You can build on Workday to run agents and apps right inside our system, or you can build with Workday to power agents across your entire tech stack. Whichever path you choose, the security guard rates are always automatically enforced. And on top of that, to ensure you never lose track, there's agent system of record. It gives you the full visibility and control over every deployed agent, whether by a partner or a third party vendor. So let's deep dive deeper into Workday Build. And within, explore, extend, and develop the agent. That's the fun part today beside third party. And within with WorkdayBuild, we are giving developers a toolkit, right, to shape the future of work with Injective AI. The whole concept breaks down into three key pillars. That's build, it's run, and it's surface. So let's look at build on the left. Here, we are looking at extend with the developer agent and how we are fundamentally changing how development happens on Workday. You can now build on Workday directly from your favorite AI developer tools like Claw Code, Cursor, or Google Active Gravity. And to make this possible, we equip our developer agent with over 50 specific skills. It runs natively in your tools via the model context product protocol, MCP, following developers to build apps and agents using simple natural language. Next, we have run. This is basically the execution layer. So running agent agentic AI on Workday means always operating within our proven security guardrails. This is where our new Workday agent ready tools come into play that allow agents to securely read data and execute actions across the entire system. And the most important part, when dealing with sensitive, areas like payroll benefits, or the general ledger, close enough isn't good enough. Agent must operate with absolute accuracy, full and full legal compliance. Our platform ensures every agent automatically inherits governance and trust built over twenty years of workday history. And finally, we have service. Right? So where do these agents actually appear? Every company is different, but workday build allows you to scale your agents and actions across your entire enterprise. Whether your users work directly at Workday, Asana, Microsoft Copilot, or Gemini Enterprise. And as a developer today, you have countless technologies to choose from when building new apps and agents. But when it comes to API and finance applications, we firmly believe that Workday Extemp is your best toolkit. And now we come to a true turning point. Ajauneic AI is fundamentally transforming how software software is built. So the focus is rapidly shifting away from manually writing code to conversational interaction in natural language. Especially for a non tech like me, this is really key in the portal. So Workday is evolving right alongside this shift, And the dealer developer agent is a game changer across those three dimensions you see here. Build anywhere, build at the speed of thought, and bring Workday to every solution. So let's look at these three dimensions a little bit more in detail. One key principle was especially important to us. As a developer, you shouldn't have to change the way you work just to build on or with Workday. And that is precisely why developer agent connects directly into your preferred AI developer tools built via the MCP, model context protocol, whether that's Cloud Code, Corsa, Google Edge, Gravity, Climb, or many others, you see the logos on here. Naturally, it is also available within our own Workday app builder on developpart.workday.com. And this gives you total flexibility. If you're working in in the browser, you can review and improve every change in the live preview before it goes live. If you prefer working locally in your desktop ID, the new Versus Code extension brings a complete experience, including native app experience previously to your machine. So why is this so great? Simple. It's one agent. It's one interface any interface. So no more forced context switching, and a developer working basically occurs that can build a Workday extended or custom agent without ever having to open a separate Workday tool. So you stay right in your familiar environment while having the full power of the entire Workday build platform at your fingertips. And as mentioned, software development has changed. Right? Moving away from code to a conversation. And And our developer agent comes equipped with over 50 specific skills for what they build. It searches the entire documentation, tutorials, a full API catalog while managing all what they build tools on your behalf. So all you need to do is describe the desired outcome. The developer agent is independently yeah. Independently decides which tools are best suited for the task. So it writes a SkillMD, connects orchestrations, configures configures extend objects, and links the approach in APIs. So this is full stack orchestration driven entirely by a single conversation. And the result, it's awesome, but developers launch solutions in hours, not days. And the best part, developers learn as they build, on the platform. Right? The developer agent surface relevant features and best practice patterns directly in context, upskilling your team in real time while they work. And while this is an absolute game changer, in the past, developing on work, they require the deep specialized platform expertise, but the developer agent completely tears down that area. So thanks to its built in context awareness, it automatically selects the right tools and architectural pillars for the task ahead. So you no longer need years of specialized knowledge. You can simply jump right in and get started. And the third dimension brings the power of Workday directly into every solution you build. So the developer agent integrates seamlessly into your entire agent development workflow. So as a result, you aren't restricted to the Workday interface anymore. You can create extend objects that power your custom React apps, develop agents that surface directly in Slack, or feed yourself serverless functions with Workday APIs. So you can even integrate the developer agent into CICD pipelines via GitHub without any hassle. In short, our platform's capabilities follow your code wherever it lives. And why is this so important? Workday manages the most critical enterprise data, everything surrounding you, workforce and finances. But in the past, pulling this data and underlying logic into external workflows was often a real struggle. You had to battle complex API scheme as designed for exchange between rigid systems rather than dynamic agent to agent direction. And the developer agent radically changes that. It exposes Workday's platform capabilities natively across any development workflow regardless of where your code ultimately runs. Let's have a look. That's more fun than just listening to me. And with that, I'm handing over to Colin who will show us basically live what it's all about. Thank you, Alexander. Let me get my screen shared. Good morning, everybody. Sorry. My screen is now sharing, I hope. My name is Conan Martin. I'm an enterprise architect based in in Dublin and Ireland. And I specialize in Workday build, so everything from developer agents, custom agents, a little bit of of data cloud as well. But what I'm here to talk to you about today, is hopefully fulfill the promise that Alexander made is show you how you can build an agent in minutes. I heard hours earlier, but I don't think I have hours today. So I'm gonna try to keep it to about ten minutes. What you're seeing right now is the developer platform. For those not familiar, and this is where traditionally you'd come to build your extend apps. It's also the place you're gonna dislike your custom managed agents within Workday. We have this fantastic new tool that I could open up here. It's our developer agent. So I'm going to give it a single prompt. Hopefully, you can read that. Maybe let me zoom in a bit. I'm asking it to build me an agent that creates a talent profile snapshot by pulling in, a worker's skills, the relevant details. So that's Going to go through all those skills that Alexander mentioned. Just gonna look at our our library of of like that. In the past, developers like me would have to do manually. It's going through. It's looking up. It's about that we have with things like work history, performance, before it starts writing our our skills, and agent files. A little bit on those files. So anybody familiar with Anthropic's, SkillMD, protocol, this is the exact same. So we're we're we're based on that open standard, which makes it makes it very transferable. So if your developers are working already on agents like this, then their skills will be relevant here. And I think we build in here is also interoperable with with those other other agents. So while that's loading, I wanted to show you where it's getting its information. So I'm gonna change tab over here and show you our work to MTP tool library. Today, it's 429 tools. We're in early access at the moment, so this number is gonna grow quite a bit. Our product teams are are working hard to get full coverage on on all the the Workday objects that we have. So a lot of different areas from benefits, career, payroll information, covering all the domains within Workday. If something isn't in here, we have the ability as well to create our own our own custom MCP tools via orchestrations. So anybody familiar with with building orchestrations as integrations, we have an extra checkbox now to turn any asynchronous orchestration into a custom MCP tool. That means Workday data, but it also means your external data. If you're integrating with something outside of Workday, you can turn those orchestrations into MCP tools to connect to your external environments. So we have something back from developer agent already. We've got two files, an agent file and a skill file. And it's telling us basically that it's it's done. It's built this for us. I won't go through everything here, but it looks like it has well, how how is it described? An intelligent agent that creates comprehensive talent profile for workers, putting together skills, education, job history, pretty much everything I asked for there. If we look at the skill itself, we can see it pulled in a lot of our MCP tools for, like, listing performance reviews, getting their skills, getting their their, their worker history. So I wouldn't always do this, but I'm gonna blindly accept and see what, what this turns out to to do for us. As with any other agentic development tool, we have to accept the changes before it gets applied. Now, I have my two files here ready to go. Let me just zoom out again to refresh this. I'm going to give it a name as well that we can easily recognize when we get into our, tenants. So talent profile agent, just in case I built this for, I'm going to give it a more recognizable name. So colon talent natural agent, September 1. Let's save and deploy. So saving and deploying, it means it's going to get sent, installed on our our tenant where I can then set it up with the agent system of records. I think we're already three or four minutes in, so we're making good progress so far. Let me just select my corrected. And it has been successfully deployed to, this tenant here. So you may have seen the agent system of record before. If not, it's where we manage anything to do with your agents in your Workday tenant. This is both your the the workday delivered agents, like self-service agents, payroll agents, but it's where we now come to manage our our custom agents as well. I've got quite a few here because I've been playing around a lot, but that's fine. The one we just made, code an, talent snapshot agents. And I need to enable it first. Right? I can't just install it and everyone has access. I need to configure it. Both turn it on and then decide who gets access to this agent. Right? So, today, I'm just gonna give it to our our HR administrators. I'm signed in as Logan McNeal. Those who know Logan will know she's a a fantastic HR admin. So we're giving her permission to test this out and show you show you how it works. Hopefully, show you that it works after a a very quick prompt. So that all looks good. We're green. Usually, we'd have to come in here, maybe check security. I'm I'm pretty sure that our security she has a security to do everything we need to do already. So I'm going to just refresh to be safe here and then interact with our new agent. So, I've got a bunch of custom agents here because I've been playing around a lot, but I think this is a lot. At the end, Conan, talent snapshot agent, September 1. We have our description here. So, please give me my talent summary. I'm interacting with this in the Workday tenant on my home screen. Obviously, anywhere in Workday where you can see this, agent chat icon, you can interact with it. You could also interact with this, as Alex said, in external tools, so your Microsoft Copilot, Claude, any any, any tool that's going to allow you to connect over MCP is pretty much an option for connecting with your your custom agents and any of these tools that we're we're talking about today. So it is calling its MCP tool. That's a hasn't told me no yet, so that's a good sign it is working. And here we go. So here's your complete TELUS snapshot. Got my name, title, some basic stuff, listing my skills. Didn't find any skill assessments for me. That's fine. Summarized my education, my job history, my performance views, my goals, my development items. So nothing. I just had to paste my prompt in and let let it work away. We developed an eight format. Three minutes work. What you'd probably do next, and, you know, you come back into your agent. And the great thing about developer agent is it's an iterative process as your developers will be used to using developer agents that are available these days is you can come in and start making changes then. So I'm not gonna go through it today because we don't have the time, but the next step you do is probably something like, you know, add another prompt to say you know, add an additional skill to find maybe an internal job or internal job requisition that's open, that's applicable to my skills, things like that. Tell it to go, and it's gonna start making those improvements for you. Like I said, we're we're short on time today, so we'll we'll leave it at that. Hopefully, leave you wanting to learn a bit more, which we can obviously set up later on. But, we've seen today how easy it is to prompt the developer agent to build what we want, deploy it, set it up, and get it using within, I think, seven, eight minutes, which is pretty good going, and then leave your options open for for further improvements to your agents going forward. So, yeah, with that, I'm gonna hand back to, to Alex. Perfect. Thank you very much. And I'm gonna share again. And, Matthias, I saw I saw your comment there that the mic has poor audio quality. I I hope you can hear me again, like, properly. And I know, like, there was some leaking issues on my side why I couldn't present ads. So sorry for that. It's just, like, sometimes nowadays. And, we hope you can still hear us now and see everything. Having said that, I'm gonna share again, because we're gonna continue. So so here we go. Like this. Perfect. Alright. Next, we will look at Workday Data Cloud. The next exciting thing and, again, something we will actually see GA coming this month. So again, yeah, reminder, work date, data cloud. Will be each GA, meaning general availability, with the r two released in September. So that should be around the September 19. So we all can really forward to that date, and it's gonna be an exciting time. So shown here is the simplified architecture connecting, Workday seamlessly with your modern data stack. Right? So you can see basically how trusted Workday data is, made securely accessible for analytics, AI, and partner ecosystems with all without uncontrolled data replication. On the left side, we have the Workday data cloud broken down into three core components. First, we have the we have the Workday data there. It's our unified data catalog, that translates core business objects like worker or supplier into governed tables. This is your analytical engine for handling huge data volumes and training AI models. Second, we have Workday Live Data Query. It provides direct SQL access to transactional data in real time via standard JDBC with zero data exports or overnight batch one. So ideal for real time AI. Third, we have Prism data management. That controls import and transformation. So you can ingest external data into Workday and combine it with the native objects to build new data products. And then notice that dashed arrows, this represents true by that directional zero copy data access. Meaning, data flows securely out to partners and external data flows in to enrich Workday's intelligence layer. And you retain complete flexibility of where your analytics and AI run. And on the right side, we see our trusted partner, platforms such as AWS, Databricks, Salesforce, Snowflake, and Google Cloud. And we integrate natively via open standards like Apache Iceberg, and this enables zero copy interoperability with your lakehouses and data warehouses warehouses, and so no proprietary connectors required. In short, Workday provides a governed knowledge base for your HR and finance data, while the rest of your ecosystem functions are flexible execution area, meaning we are really opening the platform now. And why are we doing all of this? Simply put, zero copy radically simplifies data access and accelerates your time to insight without sacrificing a single millimeter of trust or security, which is crucial for us at Workday. We essentially solve solving five messes messes, challenges, and bugs. First, we have no more complex detail pipelines. Right? So you completely eliminate, costly error prone ETL processes and work with the data directly. Second, we have governance, that stays at the system of RedLock. So security rules are strictly enforced right where the data natively resides. Next, we have fewer fewer copies mean less risks. So you eliminate compliance and security risk caused by redundant data copies laying around unnoticed. Then use data where analytics and AI really happen. Access your data directly well inside your BI tools, data platforms, or dedicate dedicated AI environments. And context and refreshness remain fully intact, meaning you work with live operational data rather than state batch exports. Plus, the full workday schema travels along with the data. So the worker means the exact same thing in Snowflake as it does a Workday. So in summary, zero copy removes all friction from the process, minimizes your risk, and deliver faster time to value while keeping trust and governance a 100% intact. Again, really crucial. And in the end, it comes down to four tangible outcomes that truly matter to you and also to your customers in the end. Faster time to value. You get immediate direct access to trusted HR and financial data without detriters. Second, lower TCO. Right? Costly ETL pipelines, fragile customer integrations, and the maintenance overhead that comes with them are completely eliminated. Third, we have fuel for advanced analytics and AI, crucial today. You feed your models with the richest, most reliable datasets the industry has to offer. And fourth, reduced risk, full governance, and maximum security. Again, really important to us. Completely free from the risk of constant data duplication. Again, in short, we make your data future ready without compromising on security. And, again, instead of me talking, let's have a look, and I ask, Juni to take over. He will take us to Data Cloud. And please, Juni, go ahead while I stop sharing. Thank you, Alex. So first of all, good morning for everyone. So my name is Sione Alakoski. I'm a solution consultant from from Workday, based in Helsinki, Finland. So I'm covering our, German colleagues today. So what I will do is here, I will, let me first share my screen here. So I will walk you through a demonstration of the Workday data cloud. And as Alex said in the beginning, this is something still in progress. The general availability is planned for release two this year, so coming in in September in couple weeks' time. In the demo, I have couple of things that I will do. So we will first of all look at the three different components that Alex mentioned. So I will start with the data lake. I will show how the data looks, the Workday data looks through the data cloud to the data lake in Snowflake. Of course, you might not be using Snowflake, but it's same for the other partner platforms. So the Databricks, Salesforce, Google, and AWS as well. In the second step, I will be using the live data query for the real time access, access, and I will be accessing the data with the cloud. But you could kind of consider that in the same way, you could access it by any tool that can do JDPC, whether it is Power BI or it is or any other tool. Maybe maybe also, Sana. In with Claude, oh, yeah. What what I will be using is an MCP server that is on top of the live data query. That's something that we have on our road map still for later this year coming, so you will see that how it will look in cloud. And in the last step, I will look at the other way around, so how you can see the Snowflake data in Workday. So those who are familiar with Prism data management, Workday data cloud will enhance the capabilities in Prism as you will see in the demonstration. But with that, let's go into the first point, and I will just switch screen here. So I have logged in here in the Snowflake. What we have done is that we have connected the Snowflake environment with a data cloud enabled Workday, meaning that I can see from the catalog of Snowflake. I can see the tables that are available through the core connection in Workday. So at the moment, there's 184 tables, if I remember correctly, that are exposing the data that sits in Workday. So the data has not been transferred to the Snowflake. I can see it in my data catalog in Snowflake and do that zero copy access to the data. And how I can then use the data? I'm not a Snowflake expert. I'm pretty sure that there in the audience much much more advanced experts in Snowflake, but you can use it like any any Apache Iceberg based tables in Snowflake. For example, a simple example, if I go to my projects, we can write SQL. So, going back to my roots I'm a font. Hopefully, that works. So, we can run SQL queries. So we could, for example, ask something like, give me the workers. Select me the workers with the position and the location information from Workday. Simple query, run it, and it will call the data from Workday in real time in from that data lake that we have on the Workday side. I could also do something like maybe write in let me copy some prompt here for this. So, write something like in AI, how many unique job titles are there, and show me the top 20 by headcount in a table and in a chart in the new cells and run the cells. So, basically, giving a command, a written command for Snowflake to pull the data from Workday. And as we can then see here, it starts processing it. It starts looking into that data catalog that I was showing, the tables that are visible automatically to the data lake, and then pull the data. It will build me the queries that I need to do, and then it will actually do the actual execution execution for myself. So giving the data. So we see the job titles, what's the head count in there. And if I scroll down a bit let's go down a bit here. It will give me a chart presentation as I was asking of that data, etcetera. So ability to query easily the data and use the Workday data in Snowflake. Now let's move then to the next point. So I will be using, the, the cloud the live data query, and I will be using cloud to query data from Workday from the data lake. So let's jump into the Claude. I have here a couple of examples. So, for example, I could ask Claude that what tables are available in our Workday data. A simple query. So it will list me the tables that it actually can see through the LiveData query in Worldpay in the Worldpay data cloud. It says that it found the tools. It is listing the tables for myself, and then it's giving me the list of the tables, and it actually categorizing them into the categories. Okay. What's in the recruiting space? What is in the compensation and benefits? Time and absences, etcetera. And I might ask something about the data. So I would like to know that, how many employees do we have in Germany broken down by the sea. So let's run that query. So, again, it is looking at and it's doing the reasoning for that query, finding the tables that are in a data catalog, and then building the query for this. And as you may know, in the work data, it needs to connect to the location of the city, by the location. And behind the location, there is a country, so it's doing all of that automatically for myself. And it's telling me that we have 17 employees, 15 of them in in Munich, one in Berlin, and Stuttgart. And maybe I'm actually interested to see and ask that who are they, where they are operating. So, what are the job titles and when they have been hired into this, company? So, again, it knows the context. I I don't mention the give me the journey, but it knows that I'm in the journey because I was just discussing about that. So who are they? What are their job titles? And it gives me the job titles and names and hire days of those employees like that. Can we, like, might want to ask something that okay. I want to see this I don't just want to have data. I want to see a job. So we could ask a job comparing headcount across the top five European countries that we have in the in the company. And, again, it's running the query. It's doing the reasoning and then giving me a job. And then maybe something a bit more complex. So show me in the table the latest skills assessment and level for each person on one of the teams, Katarina Lindgren's team, and flag anyone who hasn't assessed hasn't been assessed yet. So, basically, what we should do here, we need to understand, okay, there is Katarina Lindgren's team, so looking at who Katharina is actually managing in the organization, looking at the skills assessment levels, and flacking anyone who hasn't been assessed yet. So a bit more kind of a complex query that we can run and ask from call through the LiveData query from work, then it will execute it. And, again, it's doing the reasoning, looking at the tables needed. It actually needs to go through a couple of day calls in this case because we need to look at the manager, who is the manager of the team, who belongs to Karim's team, then looking at the skills of those employees, and then going into the skills assessment in to see that if the assessment has been complete. Just give it a second. It's the demo in the assessment, regency, and prioritizing to manage manager evaluation. And it needs to be at the assessment ID is because as you can know, there are more than be multiple assessments on employee, and then it's giving me the list of the assessment well structured. So telling me that Hans understand Edward, have completed, the assessment. Actually, if you look at this Hans and understand the manager assessment, and Edward has done the self assessment on the skill, and the rest of the team is not assessed. And then I go into work and do the assessment. This data is put in real time from Workday, so I would see the changes immediately. So that was a simple simple example how we could use the live data query that we have as part of the Workday data cloud. The last bit in my demonstration is then look at the other way around, so how we can get data from your data platform into Workday. And in this case, again, I'm using Snowflake as an example, but it could be Databricks. It could be Google, BigQuery. It could be it could be AWS, or maybe it could be Salesforce where where you pull data that you need in Workday when you are working on your people processes, finance processes in Workday. So let's look at how it looks. So first of all, I will go back to my Snowflake. So just to show you what I'm seeing in in in Workday side. So if I go into my catalog, we have a, catalog object here that we have been exposing have exposed into the Workday side. So this is on a payroll expense history data, so something that we don't have in Workday, but we want to have it as part of the reporting in Workday. So we have exposed that from Snowflake, to that, zero copy access. And if you have a look at the data preview, you can see that this is a data dump of an old payroll data where we have different payroll components, the amounts on those, and what was the payroll period, and things like that. Now it has been put into the unified data catalog in Snowflake, so it will be visible on the Workday side. So let me jump to the Workday side. I'm here logged in to Logan McNeil that Conan also mentioned before. So Logan is the super admin of the company and can access everything in in the in the solution. And those of you who are familiar with, Prism analytics, so, basically, this capability with the data cloud to bring have the zero copy accesses put into Prism, data management. So if I go into my data catalog, that's the place where I maintain my Prism, flows. And if I go into the creation of connection, you will see those who are familiar with Prism that there are new connection types. So we have zero copy connectors here, to connect into those partner platform. Platform. AWS is coming also. It's not in our demo environment yet here. We will be using the Snowflake connection. And what I have actually done is that I have prebuilt a connection here. So I have a connection into the Snowflake. So I have built a zero copy connection. I have made all the linked all the parameters that needs to be in connection. And now I can see in the data catalog all the objects from Snowflake site in Workday that are made available. And if I go to the external tables, this is the place. So we have only two here, but one of them is, coming from that is that table that we were seeing in the Snowflake site. So it's the the legacy, payroll data that feed the payroll history that we have in we had in Snowflake. The other one here is an example from Datapricks. So in the same way, this could be from Datapricks. And if I look at what we can do with this data, so those who are familiar with the prism side so if I view the lineage, I see that what logic transformations we have put on top of that data before we expose it for the reporting. So we have put the logic in that we do certain transformations. And in the end, in Prism, what we always do is that we publish the data or make the dataset available for the reporting, and then we can report from that dataset. So like any work almost any Workday data, you can own Prism data. You can build reports, dashboards, use it in the discovery report, same way as you use, Workday data. So Prism is all about building new data sources into Workday. And I have here example. Remember, this is a payroll history data. So I have here an example of a dashboard where we have been using that data. So my total rewards not only showing what is in Workday and the time we have been using Workday, but also showing the history from maybe from the old system that we've been using before and seeing the whole history of my, my the total rewards for example. Sorry. Total rewards here, for example, 2019 data from the history that is actually in Snowflake. It's not in Workday as such. So that's the data e. So what you saw in the demonstration today was three, scenarios. So we were looking at the data lake, how you can see the catalog objects in Snowflake or other plat other platforms. Then we were using LiveData query, to use we use Claude on top of that, but it could be any, basically, any MCP, JDPC enabled tool or, AI platform that could connect into it. And then the last piece was to get the data in. So looking from Snowflake, work data, how the data is flowed. And with that, I'm Alex handing back to you. Fantastic. Thank you. Now I'll start sharing. And, Yumi, Mary, in the meantime, when I continue my presentation, there's one question regarding security. You you, maybe answer that one in the q and a section. That'd be awesome. With that, I'm gonna share my screen again. So we've seen then now the demo and now the data cloud, demo. That's it with demo, but I hope you already got, some great insights and, excited. Last part is about security and governance. As, this is really, important to us. I will cover those topic this topic as well right now. And, you will be able to ask the question that was asked in the q message. If you still have any questions, please post them. They are on the right top. They're absolutely q day. Just put them in there, and we'll make sure you get them answered. So let's talk about security governance. It's really important to us in the overall context of AI. Right? And agents, it's really, really crucial to discuss this and make sure it's it's it's it's it's their case. Right? So AI agents, are inherently lawless, right, by default and eager to please. So they will essentially do whatever it takes to fulfill the prompt. You've experienced that for sure. Even if the resulting action is completely wrong or leads to a disastrous data privacy breach. That is precisely why we enclose all agents within a strict framework of governance, trust, and compliance. So we aren't talking about simple consumer grade security here, but genuine ironclad lawfulness built for the world's most demanding enterprises and organizations. Again, really important topic for us and you as a customer for you as well. So how do we ensure that everything remains completely lawful and compliant when AI agents access sensitive HR financial data? The answer is the agent gateway. You see that in the middle here. So the agent gateway is our secure prompter. It connects every single agent, whether built by Workday, the partner, or your own team, to work these data and processes. And whenever an agent wants to execute an action within Workday, it must pass through this gateway. So this is where we verify its identity and seamlessly log every interaction, ensuring the lawful and all lawful actions are fully auditable and flexible at all times. And external third party agents collaborate within Workday through two primary paths. It's either direct interaction, so the external agent directly call our WebDATE agent ready APIs and tools. In this scenario, the external agent's own internal own internal internal logic drives the action. And second, we have the delegation via agent to agent, h way. Right? The external agent handoffs the task to a specialized Workday agent, which then executes the request on its behalf. And the primary advantage here is that it leverages the entire business logic provided natively by the Workday. Deck. And everything follows strictly defined workflows with human in the loop controls and approvals automatically embedded right where they belong. Whichever route you choose, the agent gateway ensures that our system that new systems remains fully secured and strictly controlled. Let's double click on our ready tools because they are really important, and they become, also generally available with the development, you know, to avoid device. So these were purpose built to equip AI agents natively with Workday's data, context, and security guardrails. So what does a purpose built actually mean? It breaks down in through into three key pillars. It's secured by default. So Workday's entire security architecture applies automatically. This includes dedicated authentication and deep integration to the agent system of record, the ASO, to continuously evaluate and measure every step. You saw that reminder, in the beginning at the first slide on top of everything. Second, we have improved outcomes. And these tools are optimized for the ground up, from the ground up to significantly boost AI accuracy. So they reduce hallucinations, minimize latency, and optimize talk usage, really important nowadays, making execution far more efficient and less costly and easy to use. So they are effortlessly, effortless for agents to discover and really and can be connected to instantly, connected instantly via the model, context protocol MCP. So in short, you don't need to reinvent the wheel. Right? These tools come with everything an agent needs to operate productively and securely in an enterprise environment within Workday. Then next is Up is the agent system of record. We did announce it last year already, and this year is available to all Workday customers, with over, I believe, like, 200 customers actively, registering and monitoring their agents in production today. And the agent of system of record is your central cylinder, pane of glass, basically to manage, secure, and analyze all of enterprises agents in one single place. So it's a platform not just for your HR data and finance data. It's also not for your agents in your company. And the moment you register and register an agent work day, which explicitly applies to third party agents as well, you gain control and complete traceability and seamless, audibility for every action those agent perform on your most sensitive data. Again, agent gateway is the reason for that. And together with the agent passport, this creates basically end to end layer of trust across your entire organization. The agent passport is your method to certify the compliance and trust of all your agents interacting with your work day data. And it operates on those three key pillars you see on the right, standardized developer vulnerability testing. Right? So with the agent passport, we enable standardized security and assessments for absolutely every agent. Then we have verified industry standards. So adherence to industry standard is evaluated and made visible to your right where you make the decisions. These compliance requirements are verified the industry recognized, independent partners try to cryptographically sign and become an integrate integral part of agents' digital identity. Continuous monitoring. So policies and life compliance statuses are monitored twenty four seven on an ongoing basis for all agents. To make adherence to these compliance and security standards, visually clear, agents earn that, what we call, stamp. So that's the reason agent password. Right? Digital debentures, the stamp, and each stamp basically represents the official certification of one or more specific standards required to earn that credential. So really crucial and important aspect, that makes it quite exciting in my opinion overall with regards to the security. And this is the end of our presentation. It's fifteen minutes now, and we hope it was insightful. As we mentioned in the beginning, we are looking forward to an exciting month of new features and technologies. This is a timeline where we see those, aspects be coming GA. And if you like to first explore these capabilities, we will have the following here, as I will show, around developer agent and work to data cloud coming as well. We will share a questionnaire, now. We love to hear a feedback. Right? Because it's really important for us to understand, if it was insightful, what we should change. And I know the the the sound was sometimes not the best. I'm saying, like, three people from two different countries, so it must be it shouldn't be the connection, but, it must be maybe the the tool we're using. Sorry for that. I hope you still, like, well, any to follow. We will share the recording again, and, we will also share the deck as well. Right? So you get the information I'm sharing because it's also important for the webinars that are coming as well, so you have them and make the use of it. The survey should be now basically open. Feel free to give us great feedback or not. Any any feedback is welcome. But also important again, we're digging deeper throughout September in those topics. Next, we have on the September 9. Peter basically showing us live again, develop agent and work day data cloud together, how it's working. So even less slides, more demos, an hour of demos. So if you'd like to see that, that's a great opportunity. We will share the link, with the slides so you're able to, join that one. Overall, we have a lot of test drives coming up. Test drives is basically our way of giving you the tools in your hands so you'll be able to actually experience it yourself. And, for example, the test drives, for extended specifically, we'll see, option to play around with Develop Agent will be happening September 29. So there's a QR code even you can use now. Just get and sign up for that. There are limited places because we need to, like, look at it and make sure that whoever joins wants to really get into, using extend and the developer agent. So we limit it. So it's really hands on session, and you will get probably around a week access to, then the capabilities. There are several test drives. So, yeah, in here, visual test drives are linked down there as well. We do that quite often. That's an awesome, way to, yeah, again, get your hands on the technology itself. And that's also before, basically, is GA. Right? So also a great option to do that. And next, really exciting, I believe, VectorVise EMEA will be a vested owner seven to nine in November, and I think it's a great opportunity. We all will be there. It's it's it's it's not just us we see it from Workday, but more importantly, other customers, other interests. We are there. It's it's a great opportunity to exchange with others, really, make the most of it. So, potentially, you have the chance to come and within us and see us in Barcelona. We'll be more than happy to, welcome you there, and there will be definitely a lot of exciting, things in house as well. We'll see a lot of those things happening already in Las Vegas. Advising by EMEA is something also to look out for. And with that, thank you for your time. Thank you for this morning. Again, we will share everything. We really appreciate you taking the time of one hour or fifty two minutes. I hope you had your coffee with it with you. If not, make sure you take the next eight minutes to get your coffee for the next meeting. I'll definitely make sure I do that. And feel free to reach out to us, to myself. The team will reach out to you for sure. The usual suspects will reach out to you. If not, please feel free to come back to us and ask any question you still have. Thank you very much. And with that, I'm closing the webinar, and have a great day and a great rest of the week, and happy September, which we now call launch month. Thank you. Have a great day.