#294 Bhaskar Roy: How Workato Is Building the Rise of the Agentic Enterprise

16 Oct 2025 · 57 min

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Eye On A.I. Podcast Notes

Episode #294

Bhaskar Roy: How Workato Is Building the Rise of the Agentic Enterprise

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Episode Overview In this episode of *Eye On A.I.*, host Craig S. Smith interviews Bhaskar Roy from Workato, focusing on how enterprises can transition from AI experiments to achieving measurable ROI within what Roy describes as the "agentic enterprise." The discussion highlights the integration of AI, orchestration, and governance in creating efficient business processes.

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Key Concepts Agentic Enterprise

  • Definition: An organization where AI agents work seamlessly across applications to automate processes and enhance productivity.
  • Vision: A single super application (Workato Go) that connects apps and agents, providing a cohesive workspace for employees.

Workato's Approach

  • Low-Code/No-Code Integration: Designed to empower not only IT departments but also business teams to build and manage integrations without needing extensive technical knowledge.
  • Orchestration: Central to the agentic enterprise, allowing coordination between various agents and applications without compromising security.

Workato One and Workato Go

  • Workato One: The all-encompassing platform enabling organizations to build, manage, and deploy agents effectively.
  • Workato Go: The user interface that allows employees to interact with agents and perform their tasks efficiently.

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Discussion Highlights Transitioning to an Agentic Enterprise

  • From Pilots to Production: Workato emphasizes the importance of careful planning and execution when moving AI projects from pilot programs to full production to avoid common pitfalls.
  • Key Performance Indicators (KPIs): Businesses can assign KPIs to agents to track their effectiveness in driving desired outcomes.

Security and Governance

  • Permissions Management: The system accounts for different user roles and ensures that each employee can only access data and execute actions pertinent to their role.
  • Zero-Trust Architecture: Emphasizes the necessity for security protocols that ensure data protection while enabling automation.

Agent Management

  • Agent Sprawl: The importance of managing the proliferation of agents to avoid inefficiencies and ensure clear visibility into their functions.
  • License Optimization: Workato provides tools to track and optimize SaaS licenses, enhancing resource management across applications and agents.

Real-World Applications

  • Use Cases: Common applications include sales processes, IT help desk automation, customer support, HR functions, and finance operations.
  • Agent Roles: Agents, referred to as "genies," are programmed to take on specific tasks, enabling organizations to streamline operations.

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Key Takeaways

  • Future of Work: A shift towards agentic enterprises is expected to transform the workplace, making employees more productive by reducing the need for toggling between multiple applications.
  • Innovation Potential: Companies leveraging agentic technologies have the opportunity to innovate their business processes and improve efficiency, potentially leading to new industry standards.
  • Competitiveness: Established businesses must adopt agentic practices to avoid falling behind newer, agile startups that can leverage these technologies more effectively.

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Conclusion The episode highlights the transformative potential of AI and automation in businesses. Workato's approach to creating an agentic enterprise not only enhances operational efficiency but also empowers employees by simplifying their workflows. As organizations continue to explore these technologies, the future of work is poised for significant change, emphasizing the need for adaptability and forward-thinking strategies.

For more insights, follow Craig Smith on X [here](https://x.com/craigss) and Eye on A.I. on X [here](https://x.com/EyeOn_AI).

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Transcript

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0:00Agents are coming in everywhere now. It is not just now swivel sharing between apps, it's also swivel sharing between all of these agents. Even finding a document, you're going through various places. You know, if you want to take certain actions through an agent, you have to figure out, which agent should I talk to? Where is this agent? How do I talk to that agent in order to get things done? Our vision of an agent tech enterprise is that of one super application. Your apps are connected to it, your agents are connected to it. It is bringing in information. It is understanding what is happening in your world.

0:32It's learning through that. Bringing you all the core things that you need to work on that day. And then there are agents behind the scenes powering that work and doing that work for you. In business, they say you can have better, cheaper, or faster. But you only get to pick two. What if you could have all three at the same time? That's exactly what Cohare, Thomson Reuters, and Specialized Bikes have, since they upgraded to the next generation of the cloud, Oracle Cloud Infrastructure. OCI is the blazing fast platform for your infrastructure, database, application development, and AI needs, where you can run any workload in a high availability, consistently high performance environment, and spend less than you would with other clouds.

1:26How is it faster? OCI's block storage gives you more operations per second. Cheaper? OCI costs up to 50 % less for compute, 70 % less for storage, and 80 % less for networking. Better? In test after test, OCI customers report lower latency and higher bandwidth versus other clouds. This is a cloud built for AI and all your biggest workloads. Right now, with zero commitment, try OCI for free. Head to oracle.com slash IonAI. IonAI, all run together, E-Y-E-O-N-A-I. That's oracle.com slash IonAI. Thanks. Thanks, Craig. Firstly, thanks for having me on this podcast. Truly appreciate it. You know, I'm Bhaskar Roy.

2:29I had all inside AI products and solutions here at WorkCardle. I, my career, I started as a software developer way back then. And, you know, this is, I'll age myself by saying this. I was at a company called Tandem Computers, which built nonstop software. And I was a part of the operating system team, building out various kind of capabilities there. And from there, you know, as I started interacting with more and more customers, I loved that customer interaction and then became a product manager, went into product marketing, etc. Now, the way, you know, I came to Workado was actually, there is a story there.

3:13So I started a company called QIK, Q-I-K. We were in mobile video streaming space and then acquired by Skype and then Microsoft. And during that period of time, I met Vijay Thala, who's the CEO of Burkhardt. And a bunch of folks, when we built that team and we went through that particular journey, Once Quick was acquired by Skype, Vijay went in a different direction, looked at something, and then started Workado. And I did another startup in the meantime called Playphone. But, you know, it was pretty much inevitable that, you know, once something happens with Playphone, I'll come back to this particular team because it's a team I enjoy working with, right?

3:59I've worked with them, you know, in the past. So once Playphone got acquired, you know, I came in and joined Workado. And the mission for Workado was what, apart from the people, the mission of Workado was just the thing that just inspired me. Because the entire premise was, you know, how can you go about integrating your applications and orchestrating across the board in a low-code and no-code manner? What I mean by that is, during that period of time, SaaS was growing like crazy. The business team were buying these SaaS applications, but then how do you really integrate? How do you really bring that together?

4:38It was still a very IT-oriented work, right? So they could not scale to handle all the various things that were being thrown at them by the business. So Workado was born to figure out how can we enable not just the IT team to be more productive doing this, but also the operations team in various lines of businesses being able to build their own integrations, the orchestrations, et cetera, and do it in a secure and governed manner. And this opened up the entire aperture as to who all can do things, what can be done. And that was exciting as to how do you go about democratizing this. Since then, obviously, Workado has moved on to the agentic side of things or added, I would say not moved on, added agentic capabilities with that same ethos in mind as to how can we enable people to build various purpose-specific agents that are the core of their business processes and be able to do this in a low-code, no-code manner with all the things that they need in order to deploy agents at core.

5:40Yeah, and this is an enterprise software.

5:46Excuse me.

5:52And I'm sorry, I'll cut all that out. What is, when you say widen the aperture, You're talking about taking it out of the IT department and making it available to people in the business units. And what specifically was the original Workado for? And then we'll talk about Workado Go. Is that the agent building platform? Yeah, so I won't say that it was taken out of the IT department. IT is still the primary user of this, right? It's how do you make them more productive is one part of it. And even when you do that democratization or enable other people to build, IT is still providing the security, the governance capabilities, so that the business teams that are also building these automations can do it in a safe and secure manner, right?

7:01And something that writing can manage in production. So there are two aspects of this. It is democratization, but still with security and governance as the capability there is. So that was the core part of this. Now, what we announced recently, Craig, are two things. One is Workado One as one single platform, and I can get into it in more details. and Workato Go as that end user experience where every employee in a company can become very productive and have just one application to do everything that they need to do in order to get their work done. So those are the two core components that we announced recently.

7:44I see. And Workato, I mean, I always say this when I'm a little bit at sea. If you were to meet somebody at a cocktail party and they know nothing about software without slipping into jargon. How would you describe to them what Workado does? Yeah, so think of Workado as the platform that you use in order to, you know, essentially pull together every aspect of your business and deliver to that. What I mean by that is today your business is run by your business processes. And these processes can be cross-functional or core to what you deliver. How can you really have agents currently as a way for you to orchestrate all of these agents and do that in a secure manner?

8:41And something apart from security, something that scales as your business scales, right? So you don't have to think about all of those core technical capabilities for you to have agents drive operational efficiencies, being able to reduce the risks, you know, overall, and you see ROI from that. Yeah. And it's a platform. It is a platform. Exactly. With different functionalities. and I'm assuming that you ingest data from various places in the enterprise and then makes that data available for different purposes, including agentic workflows. Is that close to what it is? Yeah, it is close. And I can dive a little bit deeper into that, Craig, if you'd like.

9:32I would say that there are five key aspects of this. And this also comes together when you're building agents that drive your core business processes. So one is deep connectivity to your applications, data sources, knowledge bases like you were talking about. Now, these can be in cloud or on-prem, doesn't really matter, wherever your data is. Now, there is an element which is the reason why I call deep connectivity, is it is not just connecting to your applications, right? Whenever you're connecting or trying to move data from one to the other, trying to orchestrate a workflow, there are exceptions that happen.

10:15The end system is down. Part of the data got moved, not the entire thing. So there are all of these exceptions that happen. And the deep connectivity layer that we have takes care of all of that. So that the end user who's building the automation or is building the agent doesn't have to worry about it. So that's item number one. The second is what we call deep action. What that means is when you're going to orchestrate workflows and even agentic workflows, you want that entire orchestration to happen end to end. Sometimes it is connecting multiple systems. Sometimes it's moving data. Sometimes it is being able to understand what that logic is, the reasoning, inferring, all of that stuff so that the agents do a great job end to end.

10:59So that's the second part, which is deep action. The third is agent orchestration and app orchestration. There are multiple apps that you have. There'll be multiple agents that you have. How do you orchestrate all of them together in order to drive that business outcome? That's the third element of this. The fourth, you know, is, as you can imagine, is security and governance. Because all of these things that you're done, that you're doing, has to have, firstly, a zero-trust architecture. But also, if you look at it, when it's going to execute a particular process, I may have different permission than someone else.

11:36How does it take that into consideration when it's orchestrating those processes end-to-end? And then one final, the fifth item, which is in the platform capabilities, there is one single runtime. So you don't have to worry about DevOps. It scales up and down based on demand. It scales as the company scales. It scales throughout as you're building more and more agents or workflow automations throughout your company. All of those things come together. So these are the five, I would say, core components that make up that work out of platform. Yeah. And I mean, you talk about the agentic enterprise.

12:20Can you paint a picture for us? What does the life, a day in the life of a knowledge worker look like in a company that has fully embraced this, the agentic enterprise concept? Currently, if you look at, you know, most of the folks, their day-to-day is swivel chairing across multiple applications. Sometimes I'm looking at a CRM, sometimes a ticketing system, sometimes I'm going into HR because I need to file a PTO. There are all of those various things. And the knowledge worker today is going from app to app to app to get things done. And in future, as agents are coming in everywhere now, as you can see, it is not just now swivel sharing between apps.

13:08It's also swivel sharing between all of these agents. Even finding a document, you're going through various places. If you want to take certain actions through an agent, you have to figure out which agent should I talk to? Where is this agent? How do I talk to that agent in order to get things done? Our vision of an agentic enterprise is that of one super application, which we call Workado Go. Your apps are connected to it. Your agents are connected to it. It is bringing in information. It is understanding what is happening in your world. It's learning through that, bringing you all the core things that you need to work on that day.

13:46And then there are agents behind the scenes powering that work and doing that work for you. So for a knowledge worker, they're spending all the time in this one application in order to get all their jobs done. They're able to search for stuff. They're able to take action. They're able to orchestrate workflows. They even get the insights that, hey, for example, if I want to get a simple thing as laptop, where is it in that particular process? Or if I'm hiring a candidate, where is that agent who is acting on it is in that process? What does that look like? And it's bringing, surfacing those kind of information to me to basically do my job a lot more efficiently and me being more productive.

14:26And so this agentic enterprise, you know, people are talking about this. They're talking about a headless organization. You know, you have an agent that handles maybe sales calls or sorts sales leads and maybe does an initial outreach by email and schedules a call to those that respond favorably. And then you have an agent that prepares the salesperson by doing research on the company and giving him that in a digestible form. And then after the call, maybe you have an agent that's, I don't know what, that's taking the call notes and putting to-do items onto a calendar. All of this stuff, the knowledge worker, he has a web interface with Workado, I'm guessing, and can see all of these different agents and can click on them and see where they are in the process or whether they're waiting for the human to answer something.

15:55Is that, am I describing what it's doing? Yeah, Craig, that is exactly, you know, it's very close to what you're talking about. The other element of this is it's not just the agents. Agents do most of this autonomously, right? But it's also able to guide those agents saying that, okay, you know, I need, help me prepare a call. But these are some of the things that I'm looking for. So those kind of ability for us humans to actually guide these agents so that they do a better job. That's a part of it. And then the agents as a part of, as they're working through that, they're learning through the guidance that they're getting.

16:39Also, for each of these agents, you specify, you know, what is the end goal? What is the KPI? Like you were talking about, you know, the goal is maybe to book a meeting with that particular customer in the initial stage. And so when you specify that goal, the agent works with you to figure out how to go about it. And then it goes autonomously starting doing things. And you're able to see where things are as a result of that. Similarly, after the meeting is booked, like you were saying, a call happened. A transcript comes out. But it's not just the standard transcript. Every company has their own selling methodology, right?

17:14And it's able to adapt that transcript into that selling methodology, automatically updating, say, your CRM like Salesforce and others so that there is very clear visibility or a hygiene of that particular application that comes in. And then when it has to send a sequence, whether it be email or a follow-up call, et cetera, it prompts a human or the sales rep in this case saying, hey, this is what I'm looking to do. Are you good with it? Enable them to edit, make changes, and then it goes ahead and takes the next steps, et cetera. So there is this element of agents and people come together in order to do that work.

17:51And through each of these interactions, agents are learning and understanding more and it's getting better day by day in order to assist this particular person. Yeah. And so you were talking about permission. So if I'm a salesman in an organization, I would have my Workado desktop configured to my domain and my activities. then would my supervisor, maybe the head of the sales department, be able to look across all agents working for all the people in the department? Or, I mean, are there level layers or levels? And then you get up to the CEO and he can look at where Cato go and understand, you know, how far along they are in the sales department to meeting their quarterly target, maybe, or what inventory looks like, if it's a material goods company.

19:00I mean, is it that sort of permissioning so that each person and each level of the organization has a different view? Yes, there are multiple levels of permissioning, right? Based on the role that you have, it understands that. and caters to that role. So at the complete granular level, say, for example, if I'm a sales rep, I have access to certain accounts and opportunities. It understands that. And when I ask to make an update or do some changes, it takes my permission to make those updates, right? So we call that agent authentication. So what that means is there is very clear that I can update only the things that I own or I have access to and not something else that I don't have access to.

19:48So it starts from there, and then it goes up, right? The sales manager is able to see a view of all the sales who report to them. What does that look like? And then as it goes up to the CEO, they see that as well, all the way it travels through. So it respects the role and the permissions that the user has and understands the levels in order to surface the information accordingly. Yeah. And are the agents that are working within the Workado ecosystem, are those built by Workado? Or because increasingly there are these agentic marketplaces where you can go find an agent that does something you want to do rather than building it yourself.

20:34Or is Workado, do you have to build the agents within Workado? That's a great question, Craig. There are two aspects of this. One is we have an agent studio that you can use in order to build custom agents that you want. So that's one aspect of it. The second is we prepackage agents. We call them agent X applications that people can take pretty much right off the shelf, customize it to their specific processes and get going with those. And there is a third element of this. This is what the agent orchestration is, which is if you build agents on some other platform or some other capabilities, our agents are able to interact with those agents in order to perform whatever the function they're looking to do.

21:26So there are these three aspects that enable a company to build agents using Workado specifically, take one of our pre-built agents, or have our agents be interacting with other agents that are built in other platforms in order to get the job done. Yeah. And, you know, there's, I'm not sure it's really happened yet, but people are concerned about agent sprawl, where an organization ends up with, you know, hundreds or thousands of agents. And, you know, no one is really sure how many they are, what they're doing, which is sort of a frightening thing. how do you manage agent sprawl with Workato?

22:18Oh, I think I'll go back a bit and then talk about agent sprawl. I mean, Workato, for the past decade or so, we were helping with app sprawl. There were so many SaaS applications which are there and we are able to connect and get meaning out of it so that you can orchestrate workflows end-to-end. We see the problem very similarly. Agents sprawl, I think, is going to be much more than the apps sprawl. And, you know, being able to orchestrate across those agents is a core thing that we build in. And as a part of that, security and governance, who has access to what agents, what agents can do is a core part, and we provide that capability in order to orchestrate across all of these agents.

23:02And the final answer is, you know, it's one part of it is agent sprawl and being able to orchestrate everything around it. But at the end of the day, if you think about from an end user on employee standpoint, they need one place to go. They don't care if it is agent A, B, C, D, what is getting that work done. They just need one place to go in order to get things done. And that is Workado Go, that one single interface where you go, where you search for things, where you're finding answers for things. And agents, whether it's built on Workado or other agentic platforms, are all a part of it in order to get that thing done.

23:41So the end user experience is also, I think, key in order to drive this adoption. Yeah, that's interesting what you said about SaaS sprawl, because even as an individual, you see an interesting piece of software. You sign up for the trial that is going to turn into a subscription. You tell yourself, well, I'll cancel that before it starts. You try it out, and then you forget about it. And then two years later, you suddenly realize, oh, my God, I've been paying X number of dollars a month for this thing that I forgot I even signed up for. And I'm sure in large organizations that happens a lot. So with Workato, is there a function where you can track all SaaS and agents, agentic applications in the enterprise and see which ones are not being used and then disable them or get rid of them?

24:55if they've just been forgotten about? I mean, is there a level at which maybe an IT manager, a CTO, where somebody can see how efficiently the agents are being used and whether they're agents that people have created and then left idle that should be disconnected from the enterprise. Yeah, there is a, I mean, you can do that with WorkHaro. We call it license optimization, essentially, because one part of it is an application, but typically when you buy an application, you would buy a number of seats, right, in the sense of a number of users who can use that. So, and being able to optimize those licenses based on usage, predominantly based on usage, right?

25:53Things like that. There are capabilities in Workado that enable you to detect that and optimize your licenses across the board. Because we see, especially in IT, we're having to deal with so many different apps and down the road so many different, you know, agents as well. That is a key part as to how do you consolidate that? How do you make sure that you're getting subscriptions for and other things, for things that people use on a regular basis? Yeah, there are certain applications which are not regularly use-based, but that's okay. But being able to optimize licenses across your entire tech stack is a capability that WorkCard provides.

26:34Yeah. And what's the range of agents? I mean, not that agents is the only thing that you guys do, but what is the range of agents that you see in, you know, companies using or building with Workato or that Workato has available in its prepackaged agents? like from what to what? You know, people hear the word agents and they generally think of a very narrow scope or, you know, group of activities. Yeah, so we, in our customer base, we are seeing, you know, a number of different use cases, Craig, but if I look at what are the top four or five, One is the sales part that you talked about. We call our agents genies.

27:35And the reason why it is a genie is typically like you were talking about, agents still are at the periphery of what you can do. They're not at the core of your business processes. Where genies have this capability so that when you build these genies, you give them a KPI as to what is the goal that they need to achieve. Then you provide it with specific skills as to these are the skills that you can execute. So you're enabling that agent to do or its genie to do more. And then you provide it with knowledge bases. And also, you know, what are the various events that it should listen to so that it can run autonomously?

28:14So that makes a genie, right? So we are seeing these genies, you know, in a number of cases. One is an IT help desk. people coming in, asking questions, saying that, hey, my laptop is broken. I need access to XYZ software. And there are agents behind the scene that help you do that. That's one. Very similarly, customer support, right? In the sense when customers are coming to your support site, looking for things, they're interacting with an agent. And this agent is able to, you know, take actions on behalf of this. Like you were talking about inventory. I ordered something. hey, where is my order?

28:51When will I get it? Where is it in that process? All of those things, the actions that agents can take, it is able to do that. So customer support is the second use case that we see. So sales, IT, customer support. The final thing that we are seeing quite a bit is around HR and finance. And HR means because people have to do their job on a regular basis, things like expense reporting, a PTO that I want to file, when should I enroll for benefits? What are the various things that do you on a regular basis on an HR standpoint? That's the other thing we're seeing. And in finance, it ranges across the board, like procure to pay is a pretty big use case that we see.

29:34So there are all our accrual, that's another use case that we So there are all of these various things that we are seeing our customers do. But predominantly, I would say that those are the core functions or lines of businesses where we see where our customers are using Workado agents for. Yeah. Okay. And Workado Go, we started talking about that, is the all-in-one application for employees. Can you tell us about Workato One, which was also recently launched? And within Workato One, as I understand, there's an orchestration. I don't know if it's a level or a module or a component. And then there's Workado Agentic, which introduces the ability to build and manage agents.

30:36And can you sort of explain that and differentiate those and how they relate to Workado Go? Yeah, absolutely. So think of Workado 1 as the platform. You know, we talk about the five key things that are needed in a platform for you to benefit from agents, right? Or bring agents to the core of your business. So Workado is that one platform which brings all of these things together, right? So when you're building agents, say, for example, when a sales ops person is building an agent, they don't have to think of all the intricacies of the platform. How do I run it? How do I deploy it? How secure is it?

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31:18all of those things that come as a part of it, they don't have to think about that because the platform takes care of everything that is needed in order to really run and deploy those agents at scale. So that is the Workado One platform. Now, within that platform, there is this Workado Go, which is the end employee experience. So me, employee, means go to Workado Go, hence the name Go, in order to get my work done. That's the web application that I'm interacting with. That's the mobile application that I'm interacting with to say, hey, I'm looking for this document, or I want to now start a quoting process that are agents behind the scene that is helping you do that work.

31:58So think of Workout-on-One as that one product, one platform with one end user capability for you to put all of these things together and use this in your enterprise. I see. And within that, there's a feature or a function that orchestrates data and applications and processes. Is that right? And then there's an agentic layer or module that builds and manages agents. And all of that then is delivered to the end user on WorkHotgo, depending on their permissions. Yeah. Am I getting that right? Yeah, you are. So at the core of the WorkHotgo platform, you know, one platform, there is an orchestration capability.

33:00We believe that the core thing that differentiates an agent is for it to be able to take action and orchestrate processes end-to-end. You give it a KPI, it understands these are the things that I need to orchestrate and it does that. So a core part of this is what we call WorkHard to Orchestrate. It enables that entire orchestration. It enables you to connect to all of those applications which are there. So that's the key part. Now, on top of this Workado Orchestrate capability, which comes as a part of Workado 1, is this agentic capability that enables you to build these purpose-specific agents that can orchestrate processes, that can execute actions throughout end-to-end.

33:44So that's that agentic capability. And these agentic capability also enables you to interact with agents that you build from, you know, which are built not using Workado, but from third party as well. So if you think of Workado 1, it has full orchestration capabilities for agents to leverage. It also has the security and governance and connectivity layer. And on top of it is an agentic layer that enables you to build these agents which are at the core of your business processes. Yeah. And, you know, there's, I mean, this is interesting, but there is an explosion of agents or agentic platforms and orchestration platforms and specialized agents.

34:36how does Workato differentiate itself in that explosion of new platforms? Yeah, that's a great question. So, you know, most of the agentic platforms or agentic frameworks which are there for you to build agents do one part of the job well, which is for you to build agents and build it in code. And then you have to put all the other pieces together, whether it be security and governance, connectivity to all your applications for it to really work well. You have to figure out, you know, how do you really deploy these agents, how you can scale those agents. All of those pieces are not there in Agente platform.

35:22And Workado was born to do that, right? In the sense, our unique thesis, if you look at it, was around to do that orchestration across applications. Now we are taking it on the agent side as well. So that end-to-end capability that we provide is not something that other agentic platforms are able to provide. And that's the core differentiation that we bring in as to how do you really deploy agents at scale and at the core of your business processes. You know, it kind of reminds me recently I saw a Gartner report and there was this chart which was called the agency gap. And what they found is most of the businesses are at the low agency side of things.

36:09They are doing simple tasks in simple systems. They are not proactive. They don't have as much of a learning capability in order to do that. So those are at the edges, like create email, create some content, things like that are being done. Whereas on the core business processes side of things, those are still a lot of is still being done by humans and others because the agents have not been able to do that at the core of business processes. And our thesis is mainly to reduce that gap because most of our customers are using it to drive their core business processes throughout and become more efficient as a result of that.

36:50So that's what we address with Workado 1 and the differentiation that we bring. Yeah. Business leaders, I feel for them because they feel that they have to do something. They're under pressure from the board. Are we adopting agents? Are we adopting AI? and it's just a sea of products and platforms and then consultants who are trying to guide them around, how are business leaders or how should they be choosing a platform or choosing a starting point for AI to solve real business problems and not just, as you said, having employees read their emails with an agent? Yeah. You know, when we talk to customers, it means we guide them in a few different directions.

38:04One is thinking a little bit long-term. Yes, there are things that can improve productivity, like you were talking about, whether it be emails, et cetera. Those are great. but think long term as to how your businesses can be more efficient. How can you drive the core KPIs of your business? How can you drive more revenue? How can you operate more efficiently, et cetera? Look at those aspects of it and try to come up with, and we guide them to come up with a core use case that they use an agent to do. Because at the end of the day, when you look at those core use cases, that's where you see ROI, right?

38:46In a sense, productivity gains will happen, but from a business ROI standpoint, if you look at that, the core thing is, is it really at the core of my business process helping me with my core things like say order to cash, employee onboarding, offboarding, supply chain improvements? Are those things being done through an agent? That is what we guide our customers through to look at how they can really benefit from this and get the ROI from the investment that they'll be making on the agentic side. Yeah, that's interesting because initially when agents came out or even generative AI before it was agentic, there was a lot of talk about productivity and time savings.

39:39But as people have adopted things, I think they're realizing a lot of this low-level stuff, like an employee being able to read his emails faster or something like that, or write an email faster. Time is saved, but it's very fragmented. It doesn't necessarily add up to cross-enterprise savings. It saves the employees some time, so maybe you can take a longer lunch break. It doesn't necessarily equate to productivity for the enterprise. And what you're talking about with ROI as opposed to these more fragmented savings is looking at how the agents are improving ROI as the agents are adopted. And how do you measure that?

40:44Yeah. That means the ROI depends a lot on the use case. So, for example, for a customer support or IT, a big part of it is if you think about the KPIs, how many tickets or customer queries are getting deflected and addressed by agents? That's the KPI. If you look at on the sales side, the KPIs are different, which could be how many new opportunities are we generating, which is done by agents, and how quickly an opportunity moves from various stages, stage one to being a closed one. basically closing that opportunity? How quickly are agents able to assist with that? So the KPIs are different. And so we have this capability where you can define these KPIs and there are dashboards that you can see how effective that particular agent is in order to deliver to the KPI that you have defined for that particular agent.

41:39Yeah, that's interesting. So from the CEO's point of view, does he have a global view and do all of these ROI gains add up to an enterprise-wide ROI that he can track? Yeah, Vince, that's possible. Absolutely. Depending upon the KPI that the CEO is monitoring, they can look at all those ROIs or these dashboards for agents to bring that together. Yeah. How do you guide companies when they come to you? Well, I guess, first of all, is this for Fortune 200? Is it for Fortune 5000? I mean, what level of enterprise are you targeting? It is, I would say, more Fortune 5000 side of things. Right. So it's a broad market.

42:45It's a broad market, yes. Yeah, yeah. And you have the advantage of having been doing this for a long time with SaaS applications. So when people, well, also, how do you price this? Is it by seat? Is it by usage across an enterprise? or it is uh it is predominantly by by i would say what it's by consumption of that right so that's that's the predominant way that we price this yeah uh and i think it works well sorry to interrupt the client and it works well because as you're consuming as you're using this it goes back to our initial usage talk right which is as you are using this, you are seeing more and more benefit from it.

43:39And that's the way we price it. So that, you know, if you're not using it, you know, there is really no benefit that you're seeing from it, right? So usage-based pricing is the way we price. And in the Workado is a platform, as agentic capabilities progress and they're progressing quickly, you can plug, you can replace agents. You're not married to one particular agent or one particular SaaS product in the Workado platform. Is that right? It's sort of, you plug these different things in? That's right. You can plug in different kinds of agents, different kinds of applications, et cetera, and it's able to orchestrate through all of that.

44:28Yeah, and you said it's scalable. How big can it get? Oh, gosh. So far, we have not run into a limit. I'll give an example. One of the customers we are trying to work with, they process around 80 ,000 customer requests per day. Wow. Wow. And we are good with that. So basically, the architecture is built in a way where it can scale up and down based on the customer demand. And it is architected in a way that the zero trust is baked into it. And the great thing with this, Craig, is the customers don't have to do anything in it. It is just on the platform level. We go up and down based on what are the number of things that we are seeing across the board.

45:24It's not that the customer all of a sudden have to think, oh, I need to do now 80 ,000, 100 ,000 of these requests, address that. I need to buy separate servers. I need to have different cores or various other things. You just don't think about it. It just goes up and down based on what that usage is looking like. Yeah. You know, do you think that companies are going to come up working with a platform like Workado, experimenting, that they'll come up with innovations or even breakthroughs in how their business operates or maybe their industry operates now that they have these tools. And I'm thinking, I have a friend who's a software developer and a good one.

46:16And he was saying how wonderful Claude Code is, you know, the coding,

46:26I guess, coding agent that Claude has. And that suddenly he feels really powerful because he can do so much more in so much less time than he could previously. So do you have a sense that companies are going to start doing things that no one thought of and it's really going to change the business landscape? I totally think so. I think this is such a transformative technology and it's broad-based, right? In the sense, it is something that every company can benefit from. this agentic technology, or even if you go back to generative AI, it will completely transform companies because they can scale a lot more efficiently.

47:13They can grow various different things. I think innovation will be huge across the board in companies, mainly because just like you were talking about a software developer being more productive with cloud code, cursor, and other tools, businesses will become a lot more productive. You know, I was talking about this customer who is looking at 80 ,000 requests per day that they get from customers, they are taking a completely different look as to what that customer experience would look like. And this is an e-commerce company. How they can better serve their customers through these agents who are there 24-7, being able to help them through various things, it's game-changing for them, right?

47:57How they have process returns, all of that stuff that we all love from Amazon. because it has put the resources. Now all e-commerce companies are able to do things like that and provide that better experience overall. So I think it just changes every company in the way they do things. And, you know, interestingly, we are seeing companies already in that mindset. They are looking at it from that this can transform. And as a result, you know, the boards are also pushing them accordingly because this is that transformative technology that will just change the way you re-operate overall. Yeah, and it seems to me, well, this is a question, how affordable is the pricing for a small enterprise or a startup?

48:46Is it really heavier lift than that? No, it is. Since we are predominantly, Craig, like I was talking about, usage-based, the lift is not that heavy in terms of getting promoted with it. Yeah, well, what I was going to say is that it opens the door for startups in a lot of industries who could be native agentic or agentic natives, you know, the way that people wanted to be digital natives one time. And, you know, it's also sort of frightening for established companies because if they don't adapt and adopt this agentic enterprise mindset, they could quickly find themselves, you know, falling behind or obsolete even.

49:45Yeah, I think you're right. I think the way at least we talk about it as the agentic enterprise is something that almost every company needs to go to so that they don't fall behind. That's one part of it. The other element is if you even look at the employees or the people or the workforce, the knowledge workers, there'll be these folks who are more productive by being able to leverage agents compared to folks who don't. So that also will come together. So in an agentic enterprise, businesses are becoming more efficient and driving this being competitive innovation at scale. And the employees are leveraging these agents to be more productive on a day-to-day basis.

50:30So it's almost like you can see this growing exponentially if all of these things come together. Yeah. You have kind of a front row seat to this stuff. Do you have a sense of where this is going? As I said, the capabilities, agentic capabilities are increasing weekly, it seems. in five years? Are we going to have, as I referenced at the beginning, headless organizations that are basically a lot of agents and a lot of managers sort of coordinating the agents or a layer of employees managing the agents, But then, you know, what's the role of the CEO at that point?

51:31You know, how I wish I had a crystal ball to predict what would happen. The way things are moving, they're moving so fast that it is hard to predict, you know, at least for me, to predict what it would look like for years. But I think what you're talking about, a headless organization or what we call an agentic enterprise, pretty much every company will be that. Everyone will be working with agents. Everyone will be looking at how they are driving entire business productivity therein. And I think it's all for good. In fact, I was discussing this with one of the co-workers. like we are here today, you know, talking about things.

52:16If you think, you know, with agentic and the great thing that can be done now with generative AI, it can almost look like, you know, we are talking to each other in person rather than on Zoom. I mean, sitting in couches in this virtual world, chit-chatting about this, right? I see that the entire, I mean, the way we do things will completely change. And I think it'll change for the better, including the interactions that people have with the others. So it is not just on the agent side. I think overall, you know, we just do better as businesses and as people. Yeah. Yeah. And obviously, as a company, you're interested in, you know, large enterprises with huge employee workforces.

53:08But it's exciting. I have, you know, young boys in their 20s up to 30, and I keep talking to them about this stuff because some 25-year-old, some smart kid is going to get a hold of this stuff and build a global organization with he and his friends that, you know, blows the competition out of the water because it's purely agentic. and they're not afraid and they don't have the legacy processes to slow them down. Is there anything I've missed in talking about Workato that you want the audience to hear?

53:56Just thinking. No, I think we covered. We covered Workato 1, we covered Workato Go, We talked about agents, how they're different. I think it covered pretty much everything, Craig. Right. And again, looking forward, how long do you think, I mean, you can see the penetration of agents into the enterprise. And as you said, it's at this point really on the edge. Do you think this is going to happen quickly? I mean, with things like Workato, I see that it could. Do you think that in five years, most enterprises will have adopted large amounts of agents? I think so, Craig. I think the companies, at least the customers that I talk to, are already thinking about it.

54:52They are thinking as to how they can use this technology to transform their business. And they're there. The matter is, it's more about how do they get started, where do they get started? and make those kind of long-term bets so that they can grow with that company and the platform as they go on that particular journey. So I think it's there, Craig. I won't be surprised if it happens even faster than five years. With the way things are moving and the way companies are looking at this, this may happen faster. In business, they say you can have better, cheaper, or faster. But you only get to pick two.

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How are enterprises moving from AI experiments to a true agentic enterprise with measurable ROI?

In this episode of Eye on AI, host Craig Smith speaks with Bhaskar Roy from Workato about how organizations can design, orchestrate, and govern AI agents at scale without sacrificing security or control. Together they unpack Workato’s approach to building a single workspace for employees while agents and apps work behind the scenes to automate real business processes.

They explain why the future of enterprise AI depends on orchestration, permissions, and human in the loop design. You will hear how Workato One and Workato Go bring connectivity, action, and governance into one stack, how teams assign KPIs to agents and track outcomes, and how to reduce agent sprawl while optimizing SaaS spend.

Learn how leading companies are defining the agentic enterprise, what pitfalls to avoid when moving from pilots to production, and how to measure impact across sales, IT, support, HR, and finance so AI drives durable business value.

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