Name: Introducing Workday CLM & Contract Intelligence: Better Contracts, Faster, with AI.
Uploaded: 2025-07-30T04:16:05.942Z
Duration: 43 min 32 s
Description: Introducing Workday CLM & Contract Intelligence: Better Contracts, Faster, with AI.

Transcript for "Introducing Workday CLM & Contract Intelligence: Better Contracts, Faster, with AI.": Good morning, everyone. Welcome to the webinar. We'll give everyone a couple of minutes to to join on. So we'll start in probably about ninety seconds. Okay. It looks like we've got a good amount of people on the phone line already, so let's get started. Firstly, thank you for taking the time to join us today for our webinar focused on Evisort AI, Workday's latest acquisition in contract intelligence and contract life cycle management. So joining myself today is Steve Tucker, who is our global sales director, and myself, Sanjay Nathu, who leads the Evisort team in APAC, bringing Evisort into our region. So really excited for today's content. We'll bounce across between myself and Steve throughout today's webinar. We've also left a lot of time at the end for some live q and a. For those of you who are customers of Workday, you're very used to seeing this slide. For those of you who are prospective customers, you will get used to seeing this slide the more you talk to us. Of course, as we go through today's presentation, we may at some point talk about product, features that are in roadmap. I'll be very clear to call those out, but of course, make any purchasing decisions, based on what is in product. Everyone in work, they always smiles when we do deliver this slide because we we're very used to to talking about this day in, day out. But really, where we're gonna focus today's, agenda is firstly as an introduction to Evisort. I'm gonna spend a bit of time talking about why was the product built, what's its purpose. We're then gonna hand it over to Steve to really talk about it. Once you understand the technology, how do you apply that to your business, and what are some of the examples that he's been seeing in, or other organizations. Throughout the demonstration, I've got a couple of quick demonstrations as well, to to take you through because there's nothing better than seeing a product, in in real life. So we will talk, through a combination of slides and demos. And then as I said, we will have some time for q and a towards the end. So, absolutely, please use the q and a, box and ask your questions throughout. And at the end, we'll come back and answer as many of them as we can. So firstly, where I always start these conversations is, well, why was Evisort built? Why does the product exist? And what was its need? And it really goes back to our founder. He was a Harvard law grad. And as he exited, university and started working, he was faced with two main problems. Number one, the business would come to him and ask him a question about a particular contract. So it'd be something along the lines of, hey, we're in this agreement with the supplier or with this customer. What are our renewal terms? Or what can we cancel this contract? Or what's the limitation of liability? Far too often, there would be a business user coming to him who wouldn't be able to understand the contract language themselves. So he would have to firstly go through two steps. First, in most place in most instances, he'd have to go try and find the actual source agreement, which was buried either in an ERP system or a procurement system if he was lucky. Or more often than not, it'd be lying across emails, Google Drive folders, SharePoint folders, and then first be a treasure hunt to try and find the document before you could actually do anything with it. The next step would be, as everyone in in procurement or legal would know, open up the document and start control f ing. Looking for particular words or keywords, try and find what he's looking for in that contract. In some instances, it's meant to be an easy thing that you'd be able to find it. In some ways, he would. Other instances, he'd have to really read through the entire document, and then go ahead and translate what was in the in the contract back into plain business language for the user to understand. The other example that he'd very often face was the business would come to him and say, hey. Look. There's been a change in legislation or regulations in a particular area of our business. Can you go ahead and understand all the contracts that we've entered into? And where do we have risks? And what contracts do we need to renegotiate with our suppliers or customers? In that instance, you can very much start off with an Excel spreadsheet, list out all of the documents, all the contracts that were impacted, and then start opening up each one individually, looking for the clauses, summarizing them, and then coming back to the business with a report on here's here's where where our position is and what do we need to do. In that example, the the use case could take him weeks to actually come back with an answer to the business. And he really sat there going, there has to be a better way. I have to be able to solve this problem in a in a far faster way. Because if this is what life as a lawyer is, I don't really wanna be doing this day in and day out. And so he then partnered up with some graduates from MIT, and you then had a lawyer partnered up with maths and and science experts trying to come up and say, how can we solve this business problem? And that's really what the foundation of Evisort was, is how can we help ourselves, but then also customers come out and solve this problem in business, in understanding the dates that lives in the contract. And so as we enter into any business, whether you're talking to the office of the CFO, the CHRO, or the CIO, there are always agreements and contracts that live in place. You could be looking at supplier and customer agreements, employment agreements, or partner agreements. In every single one of them, there is a ton of data that is hidden in the contract that is not necessarily surfaced into the ERP procurement or HR platforms. Things like a what an ERP system would traditionally have is a purchase order number, an order value, maybe a renewal date. But there's a ton of information that lives in the contract that doesn't actually get surfaced up into our source transactional systems. And this is where legal and procurement are often fielding the the volume of questions is to actually go ahead and find that data and then research it back up to the businesses. Because ultimately, you know, when we talk to customers, there's always that use case of we must do renewal. And so therefore, we weren't able to renegotiate in time. And this is what we wanna help you solve, is being able to surface that information so that you can start making better business decisions and acting on these things quicker and faster. So when you think when you think through that, what are some of those questions that you would like to know about your contracts? If you're looking at lease agreements, it's, you know, how many car spaces do we have? What's our what are we are we up for paying for utilities? You know, do we have an automated renewal in here? Do we have GDPR language that's out of compliance with software agreements? Can we terminate this agreement early? These are all questions that very often the business wants to understand, but without going back into the source document to to extract this information, they don't have that visibility. And this is where bottlenecks appear in in organizations very quickly. So with that as the foundation of why does Evisort exist, this is what Workday and Evisort are trying to solve with our AI for contracts. And we really go about doing this in three three main steps. So step one, Firstly, we'll go ahead and connect to your source contract wherever they live. So in an ideal world, they're already in a Google folder, a SharePoint folder, a a box folder that we can automatically go and connect to. But very often, they're also sitting in source systems. You may have transactions or documents, living in Salesforce that we can come and, automatically connect to. Or even sourcing systems, Workday strategic sourcing, of course. But also, if you have platforms such as Ariba, we can go ahead and connect to those platforms and then automatically synchronize your entire repository back into Evisort. Now really importantly, we do that at scale. As we connect to your repositories and there may be many of them living within the organization, we automatically, at scale, extract the information that lives in your contracts. When we say we extract and analyze that information, we can go ahead and automatically pull out over 70 different contractual clauses. And we go ahead and do that at scale. So we can import in 450,000 contracts in a single day, and essentially build out your contract database for you in a very rapid, rapid time. So that's what we do really in the post signing processes. So all the agreements you already have in place, we can give you the ability to get the intelligence and start deep diving on them. And we are gonna talk through a few more features around this. So once you've gone ahead and built out your contract database, we can then give you the ability to ask questions. Now those questions can be asked on a single contract, where we can be asking questions of what are what laws and regulations must we comply with? What's the limitation of liability on this contract? What's our renewal terms? Importantly, we help you democratize this information back because we give you the answer back in plain English. English that a a normal user can understand, a normal business user without needing to have a law degree. We try and bring it back to something that is very manageable to democratize the this function across the organization. Both questions can take any format. It could be asking things around rebates, it could be asking, around performance and and, you know, what what can we charge customer partial performance? It It could be asking across lease agreements. The use cases span in every in every different direction and every single, you know, business user will have a different question they know and ask. Really importantly though, we also give you the ability to ask custom questions. And this is really important because every business has unique data elements or unique contracting elements that's important to them. So the other day, I was talking to a franchisor. And in the franchise world, they want to know across all of our franchise agreements, what's our franchise fees and what's our marketing levies that we have agreed into with our franchisees. Those are two data data elements that are gonna be very important to them. But if we are talking to a bank or a shipping company, they're not gonna have any reason to to know about those contract terms. What we enable you to do with Evisort is to build out your own custom AI fields or your own custom queries. Those queries, importantly, are built by you as the legal and procurement team, not with IT, where you give us a a a few examples, one or two examples of what you're looking for, and we then train the AI to go look for those fields across all of your contracts to give you the ability to then start reporting on those things across your organization. So we, you know, you've got the the out of the box field that we're capturing and then reporting back on, plus the ability to then add more, which make it dialing dial itself into your business and your needs. Of course, essentially, intelligence is better than to be democratized and shared out with different business units users. So the dashboards that we see our customers building out and what we deliver out of the box, then service different areas of the business. So you could have a sales dashboard or procurement dashboard or a finance dashboard, which then enables those business users or those business units to self administer and self maintain, their contracts that they've entered into. And we see some really cool examples where organizations didn't even realize that they've entered four four agreements with the one supplier, and they were all being renewed at different terms. You suddenly get this visualization of of your contracting landscape to know where should you be negotiating better, or how should you be, transacting with your suppliers in different ways. So and, really, where it it helps us streamline is how do we then, you know, give users and businesses the ability to self administer without need to push everything back into legal and procurement. So with that, let's go ahead and look at a quick video on how does contract intelligence come to life. Here's Evisort's document intelligence in action at its core. It can take documents from wherever they're stored, bring them in even in large quantities, and analyze them for insights across a variety of use cases. That's what you'll see happening here. Documents pulled in from a variety of different locations. Wanna show you what the AI looks like live when it's analyzing the document. Here, I'll use an example of a badly scanned contract, and I'll drag and drop that document in so you can see the AI working live. Every document that comes into Evisort is immediately analyzed. It's made fully searchable. We're identifying what type of document. And then based on that, extracting key information to drive different business use cases like here. When does this contract start? How long is it for? Could we cancel it early if we wanted to? What's the pricing information? Are there any unclaimed benefits we should take advantage of to reduce spend? But not just classic commercial agreements. Any type of document Evisort can analyze. For example, analyzing orders and invoices to pull out the kind of information that accounting and finance professionals might have to otherwise mainly enter into a system, like billing information, supplier information, and exactly how much we're paying for certain products and services. All this data can be pushed downstream to automate downstream transactions as well. These are just examples of things that Evisort can analyze. You can ask any novel question to Evisort as well, like, how much is the total amount due? The AI will take your question, understand it, read the document, then give you that information back. But the beautiful thing about Evisort is you don't just get to have a conversation with an individual document. Any question you can ask is something you could track across many, many different documents with Evisort's document x-ray product turns your question into AI that then would read many documents, in this case, invoices. Use your question as a way to pull that information out here, find the total amount across other invoices, and you even have an opportunity to give the AI some feedback. So it just gets smarter and even more accurate over time. But if you're not sure where to start, we can actually package up, and we do, these these AI and dashboards into different use cases. So if you're looking at things from an office of the CFO perspective, we have prebuilt AI and dashboards to highlight things like nonstandard payment terms, unclaimed discounts, contracts you could terminate early to reduce spend. If you're looking at it from a human capital management perspective, read employment agreements, when are we paying employees, and what kind of benefits coverage do they get? Other examples include things like IT asset management. What do we agree to with vendors from a data security or pricing perspective? Even third party risk management, reading internal policies and other documents to see where we made certain commitments to things like sustainability standards. Now to sum up, we can take documents wherever they're stored, turn them into data, give you the ability to search and report on those in a variety of ways here using filters, show me all the documents coming up for renewal in the next thirty days, but also just to ask open ended questions to get speed to information. For example, asking of a large group of documents, maybe thousands or 100 thousands of agreements. Can we increase the price on a particular vendor? And they will read all your agreements, find the relevant ones, tell you exactly what you need to know. Like, in this case, yes, you can, but you have to give notice if you want to. So whatever you need to know about documents, questions you need to get asked, or things you need to track, Evisort with with this document intelligence platform can make that a reality. Thanks for watching. So, hopefully, that quick video brought brought everything back to life for you. Now really importantly, if you go back to, you know, what was the what was the intention of what we were trying to build with Evisort, we were trying to answer those two questions. How can we ask questions of a single document, and how can we do this across a large volume of documents? And I think what you've seen through that through that quick demonstration there is we can use contract AI on single documents to be able to ask very quickly questions in any different direction and get answers back, for the business users. But also then taking those questions, converting them into a question that we wanna apply across the entire batch of contracts. So then we're able to go and do that across, at scale across a large volume. So being able to answer those questions far quicker. So now that we've kind of looked through what we can do in the post signature world, let's flip flip over and go into the pre signature before you've entered into an agreement with the, with the customer or supplier. And again, we've got you covered in that front, but we've got tools here that can allow you to, build up your own internal AI brain, which is how does your organization, like to negotiate contracts across all of the different clauses that you you may be interested in. So when we look at our our tools in the in the the presigning processes, we give you tools to firstly be able to build up your clause clause library of your preferred fallback, and walk away positions across all of the different, contractual terms. So then give you the ability when you import in a new a new document to be able to analyze that document of how does it stack up against your preferred policies. We also then go ahead and give you the ability when we are actually, redlining and draft drafting within the product, is to then make surgical edits towards, contract clauses. We've all been on the receiving end. We have worked there when sometimes when customers enter into agreements with us, you may go ahead and rewrite the entire MSA or you may you may rewrite entire clauses. That makes for a fast, slower negotiation process because the receiving lawyer then looks like, oh, these people are being unreasonable. They made too many changes or they made changes in two. Rewrite language back to what they want. Doing these surgical edits means that we use the the core language that the the customer and supplier provided, but make as few edits as we can to then bring the meaning back to what we want. It enables a fast, smoother, and and better, negotiation position. But what you'll notice on through the through the animation on screen is we can also automate that going back to that clause library of what is our preferred positions. Again, what this means is if you're in a large legal team, we do very often find that different team members may try to negotiate different things slightly differently. What we can do here is also then help you get to a slightly more standardized version of how do you review contracts within your organization. Also, within the within the drafting tools, we've got the ability to create new clauses, where we can use our language models to help you draft new language Again, speeding up that process of reviewing and, drafting up new new documents as well. And then the very last piece in here as well is where we we can work both in platform or if you do prefer to work Microsoft Word that can also be, a a combination through our plugin. Again, all this gets tied back into our workflow tools that as documents come into the into the queue, they are routed based on document type into the correct queues for review by the different team members. So let's go ahead and, again, watch a quick video of how that comes to life for you as well. Today, I'm gonna walk you through the Evisort contract creation tools, which combines CLM with a lot of AI powered enhancements to speed up contract creation and negotiation and also help you to get your preferred terms more often. So I'm in an Evisort environment in the workflow tool. I can see a list of all the contracts being negotiated that need my attention. And I can request a new contract very quickly by selecting new ticket and then just selecting what type of contract I'd like to request. This is going to open up a simple intake form. I can either start by submitting a contract I've received from a third party or have Evisort automatically generate a first draft of a new contract for me. So here I'm going to hit Create Ticket. And what Evisort is doing is it's going to use that information that I've put into that Simple Intake Form to automatically create the compliant first draft of a new contract form. So that instead of having to spend an hour or more manually filling in a template, I've automatically created a brand new first draft of this contract that's ready to be reviewed and negotiated, and it's also been routed for review by the appropriate people in the appropriate order. As we can see here, brand new contract and our review process, and it's also gonna be analyzed by AI to pull out the key terms in this agreement. So here's when I started just a minute ago. You can see that AI analysis is already run. It's pulled out a wealth of key terms. This is gonna provide me a lot of ways to make sure this contract stays within bounds as I review it. I'm gonna go ahead and open this contract up for editing. I can edit it directly in the Evisort platform as well as through Word online or simply by downloading it as a Word document and working on my desktop. But in Evisort, I've got these tools to help me review. The first is the platform's automatically identifying key terms, helping me jump right to them and speeding up my review. The second is I can select these terms and use my AI drafting tools. And so here, for example, I'll select my guidance for indemnification. I can say preferred, fallback, walkaway. But when I hit generate, what the platform is going to do is take this saved guidance, basically what has to be true for this term to be acceptable, and apply that to whatever's in the contract in front of me. So So it works just the same way whether it's on my paper or third party paper. I suggested a lot of targeted revisions to bring this clause into compliance with my guidance. So a very quick way from user reviewer to both find the relevant clauses and even have AI take a first test at revising them, as you can see, in a counterparty friendly way to get an acceptable version of this clause very quickly. We also have AI clause creator where the platform can automatically create new clauses quickly just by following simple instructions. So I can tell it, write a dispute resolution clause that requires arbitration in New York. Just from those instructions, the platform is able to take a first pass at drafting that clause. And so now my review time can get even shorter because even some of that original drafting, I can give to AI. And then finally, as I've reviewed this agreement, I've gone back and forth with my counterparty. I've got a suite of AI tools to help me give it a review and make sure that it's acceptable with all my requirements with the Ask AI, where I can just ask the platform questions about this contract, and AI will give me simple and direct answers. We'll link to the relevant place in the document. And so here, I've saved some questions, basic supplier compliance. And when I run them, the AI is going to ask each of these questions about the contract that's in front of me. And here I've set it up so it'll give me a yes or no answer, make it very fast and easy for me to review, and make sure that I'm getting the terms that I need for this to be an acceptable supplier agreement. And you'll see for each of these questions, the platform gives me an answer, you know, no. It does not match these terms. Gives me an explanation of why I gave that answer. It even gives me a link to the relevant part of that document so that I can validate it. I can make sure it's giving me the right answer. And you can imagine how much this can speed up review. I can truly just have AI run through a series of questions before it goes up for signing, making sure that it is compliant with my terms, that it meets all my requirements, and really just increases the consistency relative to human review alone. And then once I've completed that review, I can complete my human review here indicating that, you know, yes. It's received this required approval. That then passes it on to its review level. Hit accept. And with both of these required approvals done, we're now able to send it for signing. And we can send it out for signature either directly via Adobe Sign or DocuSign using our esignature integrations or, of course, just upload a signed contract. It can be a scanned copy, whatever works with our style of working, minimizing change management, but letting us get that completed contract in the system quickly, where it's analyzed by AI again, and all those key terms are pulled out so we don't have to manually enter the information into another system. So hopefully that gives you a sense of how Evisort has a suite of powerful tools to promote consistency, ensure contracts are produced fast, and go through all the necessary approvals, as well as AI to speed up negotiation and make sure that human reviewers don't miss anything key so that we can get contracts done fast, but also get contracts done well. Thank you very much. Alright. So once again, awesome video bringing it all to life and and showing you through a number of different areas of the platform. So where I normally always take these conversations is if you think about what the platform can do from a technology point of view, reviewing contracts at scale across all different areas of your business, it then really becomes a conversation where we normally jump into is, well, the obvious starting point everyone always thinks about is procurement. But we've also seen customers take our platform into lots of really extended areas of their business. And that's really where I want to introduce Steve, because Steve's been working within the Evisort business before the Workday acquisition and had some really good examples of where we where we're taking Evisort into different customers across the globe. So with that, Steve, welcome to the webinar. I'm gonna hand over to you to talk through a couple of our customers. Thank you, Sanjay, and, thank you for everyone joining on this call. I joined, Workday from the Evisort acquisition. So I've been, with the Evisort product now for nearly nearly four years. I'm really delighted to see to speak to you all today. If you our customer base really is a wide range. And Sanjay is right. We can start in a function like procurement for vendor agreements and or legal or even sales. And if you look at across our customer base, we are dealing with some smaller organizations that might be looking for some contracting, some digital contracting processes for the first time. And then on the other side, we can deal with some of the largest companies in the world. And so companies like three m, and and many others, some of them listed here, are very, very large customers leveraging us at true scale. So we're able to help customers all the way along that journey from start ups in tech to small health care providers, all the way up to the largest companies on earth. But if we just look at the next slide, I think some of these examples of where, we've actually delivered that value is is is kind of interesting. So look at, Western Union, for example. You know, their their ROI was really on the increase in speed. They were able to massively accelerate the overall time for processing, searching, analyzing, signing, and agreeing contracts. NetApp went through a huge event that required them to review 90,000 agreements in a very short order. And because they already had Evisort as their solution of choice, when that event happened, you know, they were able to do that saving many thousands of hours and a very significant cost associated with a third party review exercise, just on that one event. Keller Williams is a great example, really digitizing over ten years of their buy side and lease side type agreements. So they had a whole digital content of ten years of those agreements. Within thirty days, they were fully digitized, an intelligent repository in place, models built and analyzed in less than a month. And then our friends at Workday, I think one of the reasons why we're now part of, the Workday suite was that Workday Legal was a strong and large customer of Evisort. And they really met really implemented us at scale and saw a huge ROI, huge percentage here. And, yes, it is three and a half thousand percent, ROI stated around the total cost reduction for legal counsel. But I'll add I'll add to this. We we call out here our certification for ISO forty two zero zero one. That is the new and highest threshold for responsible AI, delivery. That covers security. It covers, the handling of data. It covers responsibility, bias, processes that are in place today. And we think that that's gonna be the threshold, and your organization's going to have, very high thresholds for security, in particular, for deploying, AI. And so we've met that. I think we're the only company in this space that's got that. So it's important that that you know how seriously we take it. And I think if we just look at this third slide, Sanjay, I think the the the the real value of any technology, but this one, in particular, it's the marriage, I like to say, between the subject matter expertise and the use case that is known within the customer and the technology. The technology on its own is going to do very little. And so that marriage that Sanjeev was talking about use cases around is really important. For example, when we sold sold into Netflix here, called out, and they're looking at particular rights, in their agreements. So what are the actor rights, etcetera, what are the image rights, things that, you know, are very specific to their industry and that they're able to model across their agreements. In our health care business, over here in The US and in Europe, They're looking at physician agreements. What do the doctors agree to do, for example, with with that? What are the services that they're providing? And so those examples and I think Sanjay gave a great example about about franchisees as well. So you have the platform in place with immediate value at a very fast time, but now you start to really make impact by marrying your own subject matter expertise around the contracts, the industry, any particular regulations that are relevant to you, and you can start to apply that, intelligence. So, you know, as you start to think about the space with us or anyone else, think about those agreements. Think about the impact of knowing everything and anything that you've done in the past. What could that unlock? And as a wider perspective, the overall CLM value, we think doing that first as a foundation and then building on that your your workflows and approvals if and if you need them to, is fundamental. Sanjay, over back to you. I hope that was helpful. No. I think, absolutely. I think it to, you know, the the good old tagline to to round out just on presentation side, it is really about marrying the technology with your with your business lens, because that allows you to start driving the outcomes. And And I'm always a huge believer. Technology on its own will, as Steve said, it'll do nothing for you. It's you you do have to have that imagination to go, how am I gonna drive this to actually solve problems within the organization? And I think Evisort provides a phenomenal platform, when we when we when we look towards the procurement and legal teams because they are very often big bottlenecks in that in that part of the organization. But not only bottlenecks, but also areas where risk is introduced because you've got different team members that may that may review, negotiate, approve things in different ways. So with that, we're gonna go ahead and swap over into the q and a. So there are a bunch of questions that have been posted onto the onto the q and a, q and a panel that we, we may start working through one at a time. So, first one, that we've got here. And, Steve, I'll I'll I'll read out the question, and then maybe we'll we'll pass through and ask yourself to to give you your your perspective as well. The first one here for Mike. Are the tools expected to replace an existing contract management system or work better? So I think that's the best question. As a bolt on solution, then what's the functionality? That's a fabulous question, Mike. And it's the answer is either or both. And so we have many customers that have systems of agreements in place today. They may have Ariba in the buy side. They may have a Salesforce application on the sell side. They may have a more traditional CLM, you know, that's taken time and money to onboard and to, and to get them to, adopt. In that case, we can support and give augment, if you like, or complement that capability by being the AI platform that does that. So Microsoft, for example, is a big customer of ours. That's what they do. They have a a ceiling solution in place that they leverage Evisort for all of their contract analytics. So, Mike, I hope that answers your question. The answer is yes. If you have one already, you don't have to replace it. You can augment it. And oftentimes, we integrate with those applications as well. Cool. Next question here from from Ray. Is there configurable approval workflows? Hey, Ray. Absolutely. Yes. There is. So not by coding, but really just throw it through configuration. And we try to enable our teams, Ray, to our customers to do that themselves. We do have service partners as well. But typically, in our implementation, we'll build one or two workflows with you and enable you to do that. And it's it's user driven, and user configurable. Good question, Manny. I hope that helps. So next question is, can you include various various jurisdictions when reviewing contracts for from international suppliers? Can you read that again, Sandy? Can you include various jurisdictions? I'm I'm not sure I fully understand it. So, Steven, I think if the question is, can, we analyze an international supplier agreement, and review that against whichever jurisdiction is either call that information out and or provide a different set of preferred terms for surgical redlining, then the answer is yes. But feel free to email Steven if I haven't answered that question correctly, and I misunderstood you. Awesome. I can see the list of questions is quite long. Yes. I'll I'll jump to the next one, which is, from from Adelphia. It's how does Evisort interact with Workday strategic sourcing from a contract approval point of view? Hey, Adele. Great question. Thank you. So for our customers that, have Workday strategic sourcing, our first integration, which will be live in a phase one in September and then more towards h one for GA, will be into Workday strategic sourcing. Over time, we're gonna integrate fully across the suite, but we're already, having some early customers test the, WSS integration where Evisort can play that role. So the question, the answer is yes, and those plans are already underway. Awesome. Thank you, Steve. Next one here from from Amy, which again is a I think it's a nice one that you you'll have to jump into is, can the output data be routed into other systems, e g, finance billing systems based on the contract review? Yes, Amy. Great question. That we we we really think that's where some of this value lies, and we think that, you know, having a CLM with this content just in a point solution or in a local kind of isolated way doesn't release that value. So, yes, we've we're looking for data points. I don't know. Maybe it's payment terms that might wanna be passed down into, finance payment system or into your into your ERP. So, yes, we do. And, of course, in particular, over time, we'll be fully integrating those capabilities to, the Workday solution, sir. Awesome. Next one here, from, from Steven. Can it integrate and work on top of DocuSign? Great question. So within, I'm ex DocuSign. So I spent two years, at DocuSign. So, so the answer is yes, both from an esignature perspective. Of course, we integrate, into DocuSign signature. But if you had DocuSign CLM, or yeah. If you had DocuSign CLM solution or then yes, we can. And so it would like the question earlier, I think, from Jonathan, if I recall that the the ability to augment a currently embedded CLM process is actually a high value point. It means that you don't have to rip out your current CLM if that's already been successful. And then I think, of course, Steve, then the the other versions that would be is, of course, from Evisort, we could always push a a contract into DocuSign to to write it for signature and then get the the. Yeah. Yeah. Absolutely. Yeah. Next one here from from Mike. So I love the questions. Keep them keep them coming in. Doesn't include a module to help a contract manager monitor supplier performance against DSLAs. Steve, have you got an opinion on this one or else, I've also been doing a bit of work with a few customers on this one. You can. And I'll I'll add if I can. Yeah. No. So, it's a really, really nice question, Mike. So, one of the ones that so one of the use case that I've been playing with with a, existing Workday customer is, of course, Workday Financial stores all of their transactions, and Evisort stores the contract data. We're using Prism as the the mechanism in the middle to connect both to the financial data that we're seeing in in ERP around those invoices coming in from the supplier, and then really marrying them up with the contract. Now what we very, very transparently is it may not be a a direct match because, you you know, your invoice may not directly say, hey. This invoice tied back to that contract. But we're building our dashboard where the user will be able to say, I wanna look at a supplier, Dell, for example. Show me all my contracts that I've got with them. Show me rebates if that's the clause that the the the procurement person is interested in. We can then display all the rebates that we potentially have available and then show matching, transactions that are coming out of the ERP system. So I think there is there's there's some really interesting work that we we can do in that front. I think it'll be a little bit use case specific around what are the what are the particular areas you want to tie back to. I think Prism acts as a really nice, platform to to tie actual data back to contract data and and build that out for you. So let's, jump into the next one. What are we looking at? Hi, Sanjay. Steve, does the tool have the function to tell me what may be missing in contracts? Also, can the tool recommend clauses that future proof our position, considering emerging lead risk or legislation? That's an interesting one. Steve, I'm gonna throw it on to you. Yeah. That's a good that yeah. That's a good one. And so does the tool have to function to say it's missing? Effectively, yes. Now, I mean, you would do that by if you had a particular clause or a particular, expectation or requirement or compliance requirement, you could absolutely, on a similar agreement or or or a subset, ask whether this or a similar term exists. So that's that's capable to it. In terms of future proofing considering emerging risk or legislation, no. We haven't we haven't built that in there yet. We're not in a position to make, legal recommendations. But, you know, I'll take that back to the product team. I like I like where the thinking's going to be at, and so I appreciate that. And if you've if you've got more thoughts on the share with me afterwards. Next one here, Steve, as well, from Murray. Does the CLM part of Evisort offer a dedicated external supplier portal for direct collaboration? Just trying to kind of interpret that. Dedicated external supplier portal. No. There is collaboration available within, within an agreement and the way that we negotiate that. And so, you know, they certainly have access to to to access the agreement to negotiate with it, and to exchange those terms. So, I I think the answer is in part. So I just I'm gonna be clear about what what what do you mean by supply portal. But if you wanna collaborate and negotiate with third parties, then, yes, you've got that capability. And we're further developing that further that developing that with, more integration and more capability into products like Merger. Yeah. No. I didn't think that at all. That was where I interpreted as well as it was the the online collaboration. But absolutely, Murray, if, if there is more to that, absolutely email email through to us at the end of this as well. We've got a couple more questions on strategic sourcing. I think we've we've provided a good, a good answer there. I think this is a we'll throw this one up as well. Could Eversort review distribution agreements from different investment managers in multiple formats? Yes. Yes. Absolutely. And export those into a structured Excel file if you wanted them, or, or in in other form of exports if you need to. So, you know, in fact, if your distribution statements is summed up as tabular, if that is negotiated, and there were variables, yes, it would be able to learn. And I think that's a great example of that marriage. So Evisort may never have seen your particular distribution statement type documents before. But once you put that through the process and it's now into the AI brain, you can start to build the models that you want to extract the certain data. Once you've built those models, that's sustainable. So any new agreement coming in. So as you get another distribution statement, another thousand distribution statements, that same model is gonna be applied. So, you know, without questions that we've that we have kinda jumped around my answer. I think I've ticked the There's been a lot of questions that we've that we have kinda jumped around my house. So I think I've ticked the box to most most questions, that have that have come through. If if we haven't, post post webinar, I'll probably I'll I'll do another another sweep of these questions. And if if we haven't directly answered your question through through the conversation, we'll we'll shoot out a, a response to you as well. Steve, I think, you know, I think we've we've covered a lot of content in a in a very short time. Any any kind of closing thoughts from from your end? No. I'm gonna ask. But the by the way, these questions look very, very thoughtful and, you know, and on point. So, really, really appreciate that. Look. Look, I think as you're thinking about this, we'd be delighted just to spend more time, you know, talking in deeper about our use cases. Feel free to email Sanjay or myself and kind of ask more questions or set challenges or or or even give examples of what you're looking to do, and we'll just be candid with you. But I think, you know, it's that just go back. If you if you remember one thing, it's scale well, let's say one thing, and now I'm gonna give you a list of things. If you remember a few things, one is security. You when you're looking into a player in this space, you've gotta be very clear about how they handle your data and what happens to it. You're gonna have some very strict, kind of, requirements around that most organizations do. We're very strong in that space. The other is scalability and extensibility. So, you know, it's not about doing this only on one document at a time. Okay. Yes. We have that capability and there are a number of vendors that do, but the ability to bring in 10,000 to 100,000. We have customers with over a million agreements. Okay. Being able to ask and kind of dissect those agreements, in questions and models is is very, very unique to us, including some of the tabular capabilities. And the third is then put all that aside. Just think about if I was to build a business case for for an Evisort, you know, the the thing think of having an AI brain that knows everything you've ever done in the past. Okay? It's there. And if you need to be, is able then to take some of that information and and put it through to the way in which you negotiate, in the presignature to close process. But if you think about that, then what what could I unlock? Is that just in procurement? Is it in buy side? Is it any of my legal agreements? What what kind of distribution? Whatever type of agreements that you have, if I could, unleash the ability to know everything I've ever done when needed, what could that unlock in your business? And in there will be some valuable use cases and, would happily explore the video. No. Absolutely. Thank you. Thank you, Steve. So with that, I think we've we've launched the survey, as part of the as part of the webinar. We'd love to get your feedback as well. And, again, like Steve said, absolutely happy to come in and have a have an introductory conversation. It's been the the the uptake in in region, especially across our Workday customers, has been absolutely fantastic. My team has run off their feet, so absolutely, we we're loving the conversations. I think there is a lot of a lot of exploratory conversations that are going on. A lot of organizations haven't been exposed to either a full blown CRM or have something in place that's not working well and they wanna explore what's out there, we're absolutely happy to come in and have those conversations, and, you know, see, see whether whether things make sense. But, absolutely, there's been a lot of education within, within our customers at this stage as well. So with that, again, thank you for your time. Really, really appreciate it. The web the webinar recordings will be sent out as well automatically, as well as then we'll we'll follow-up with the answers to a lot of these questions as well. But thank you, everyone. Thank you for your time. Thank you.