TheCUBE Research’s Savannah Peterson and Paul Nashawaty sit down at Boomi World 2025 with Dan McAllister, SVP of global alliances and channels at Boomi, and Ramesh Revuru, global head production engineering and services for agentic AI at LTIMindtree, for a conversation on enterprise transformation. They discuss how global partnerships are pushing the boundaries of innovation through strategic AI integration and next-gen engineering services.
McAllister and Revuru talk about the collaborative foundation between Boomi and LTIMindtree, revealing how their alliance accelerates value for customers. The conversation explores the balance of platform power and domain expertise, with Revuru emphasizing LTIMindtree’s production engineering depth and McAllister highlighting Boomi’s critical role in driving agentic AI initiatives across industries.
From strategic investments in agentic AI to proven real-world applications, the discussion centers on how both companies co-create solutions that unlock speed, precision and flexibility. Revuru also shares use cases that demonstrate tangible business outcomes, while McAllister underscores the role of integration and clean data as the backbone of impactful AI innovation.
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Dan McAllister, Boomi & Ramesh Revuru, LTIMindtree
TheCUBE Research’s Savannah Peterson and Paul Nashawaty sit down at Boomi World 2025 with Dan McAllister, SVP of global alliances and channels at Boomi, and Ramesh Revuru, global head production engineering and services for agentic AI at LTIMindtree, for a conversation on enterprise transformation. They discuss how global partnerships are pushing the boundaries of innovation through strategic AI integration and next-gen engineering services.
McAllister and Revuru talk about the collaborative foundation between Boomi and LTIMindtree, revealing how their alliance accelerates value for customers. The conversation explores the balance of platform power and domain expertise, with Revuru emphasizing LTIMindtree’s production engineering depth and McAllister highlighting Boomi’s critical role in driving agentic AI initiatives across industries.
From strategic investments in agentic AI to proven real-world applications, the discussion centers on how both companies co-create solutions that unlock speed, precision and flexibility. Revuru also shares use cases that demonstrate tangible business outcomes, while McAllister underscores the role of integration and clean data as the backbone of impactful AI innovation.
Dan McAllister, Boomi & Ramesh Revuru, LTIMindtree
Dan McAllister
SVP Global Alliances & ChannelsBoomi
Ramesh Revuru
Global Head, Platforms and AI, Low Code, Integration and Enterprise AutomationLTIMindtree
TheCUBE Research’s Savannah Peterson and Paul Nashawaty sit down at Boomi World 2025 with Dan McAllister, SVP of global alliances and channels at Boomi, and Ramesh Revuru, global head production engineering and services for agentic AI at LTIMindtree, for a conversation on enterprise transformation. They discuss how global partnerships are pushing the boundaries of innovation through strategic AI integration and next-gen engineering services.
McAllister and Revuru talk about the collaborative foundation between Boomi and LTIMindtree, revealing how their...Read more
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What is the importance of agentic AI and why did the company choose Boomi as a partner in their journey towards implementing it?add
What advantage does the flexibility of the modular approach offer, particularly in terms of building for the future and hedging bets in various segments?add
What are the considerations regarding the marketplace element and consumption aspect in regards to utilizing studio platforms such as Boomi and ServiceNow?add
Dan McAllister, Boomi & Ramesh Revuru, LTIMindtree
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Savannah Peterson
>> Good afternoon, Boomi community, and welcome back to wonderful Dallas, Texas. I guess I should be saying, "Yeehaw," or "Howdy y'all," now that I'm thinking about it. We're here at Boomi World 2025, coming to the end of day one of our two days of coverage on theCUBE. My name's Savannah Peterson, bringing you all the excitement with Paul this week. Paul, we've had some giggles, we've had some interesting-
Paul Nashawaty
>> We have, we have....
Savannah Peterson
>> business stories, we've had some compelling data. I feel like we're going to finish strong with some partnership stories, and I'm hooked.
Paul Nashawaty
>> I'm looking forward to it. This is a great one, so let's jump right in.
Savannah Peterson
>> Yeah, absolutely. Dan and Ramesh, thank you both for being here.
Dan McAllister
>> Thank you for having us. Yeah, love being back.
Ramesh Revuru
>> Thank you.
Savannah Peterson
>> Dan, it's only been a few minutes since I saw you, a few segments.
Dan McAllister
>> At least 30 or so.
Savannah Peterson
>> Yeah, yeah, yeah.
Dan McAllister
>> I ran across the floor. I came back. Thank you. Yeah. Inviting me back-
Savannah Peterson
>> Maybe had some barbecue or something fun....
Dan McAllister
>> I guess the last one was okay.
Paul Nashawaty
>> It was good.
Savannah Peterson
>> So I'm going to open up with you, Dan, since you've brought a partner along for the ride here with Ramesh. Tell me a little bit about this partnership, what's going on, and what you've been building together.
Dan McAllister
>> Oh, well, so first of all, interesting story about me and Ramesh. Ramesh was my last meeting at my former company before joining Boomi, and actually somebody I quizzed about, "Hey, is this a good idea? Should I be going over to these-"
Savannah Peterson
>> Have I made a mistake?
Dan McAllister
>> Yeah. But he assured me this is fantastic place for me to be-
Savannah Peterson
>> Oh, that's cool. What a fun-...
Dan McAllister
>> because they're actually a customer of Boomi's and have worked with us for years and years and years before I got here and now, of course, after. So I didn't screw that one up either.
Savannah Peterson
>> Oh, how fun. So you still got to continue working together.
Dan McAllister
>> That's right. That's right.
Ramesh Revuru
>> That's great.
Dan McAllister
>> Yeah. Super fun for me.
Savannah Peterson
>> Yeah. So talk to me about what that looks like. What are you working on together?
Dan McAllister
>> So we support companies around the world from our technology perspective, and of course LTIMindtree's technology understanding perspective. So they one of the premier integrators out of the market. They understand the full landscape of all the technologies companies have to make work to ultimately accomplish the goals that they have for their organizations. And so we love working with them because they understand Boomi, but also because they understand industries, they understand other technologies that we have to integrate with or to bring together, and deliver just fantastic value. Yeah.
Savannah Peterson
>> Yeah, it doesn't surprise me.
Dan McAllister
>> So that's my perspective. Hopefully you agree.
Ramesh Revuru
>> Yeah, absolutely. Absolutely. And Dan mentioned about this friendship that we've had other than the partnership between the two companies. And we probably met in, what, four different continents now?
Dan McAllister
>> At least three. I'm not sure what the fourth one is. But yeah. Actually you're right, four.
Ramesh Revuru
>> Yeah, yeah, four.
Dan McAllister
>> Okay, there we go.
Savannah Peterson
>> How cool.
Ramesh Revuru
>> It's also a reflection of how this friendship has also evolved into partnership on the ground. We're a GSI platinum partner of Boomi, and we take pride in that. We take so much pride in that. Our tagline is, "Get set, Boomi."
Savannah Peterson
>> Okay, I was going to ask because I was staring... I noticed when you sat down. I thought there's no... Is that a coincidence? Because there's got to be-
Dan McAllister
>> We need to give that to Steve. He's going to love that.
Ramesh Revuru
>> Yeah. That's for the camera.
Savannah Peterson
>> I love that. That's actually really fun.
Ramesh Revuru
>> Thank you.
Paul Nashawaty
>> So it's interesting, the friendship obviously is there, right? The partnership is there, so that's really cool. Where do you look? I have to bring up agentic AI because it's like-
Savannah Peterson
>> We haven't talked about it at all.
Paul Nashawaty
>> We haven't talked about it at all, so we have to bring it up. But let's talk about Agentic AI and with the partnership you have in place, there's a lot of heritage with Boomi, with the integration and the platform and making it all work. And we get into this new agentic AI model and all of these distributed environments and all these applications that are being modernized and such. What does this mean for your partnership?
Dan McAllister
>> Actually, I think the best thing to do would have Ramesh comment on exactly how they're investing around the market in general, because you've put a lot into this and I'm really impressed with what you have.
Ramesh Revuru
>> I'll start off. Agentic AI for us is not just the flavor of the season because we've started about a couple of years back when the progression of generative AI to agentic AI started to happen. And as a company, we have invested in the range of about $150 million already into the Agentic AI platform build out. And that's where we found Boomi to be the right partner in that journey. Because when you look at agentic AI, while it is using the capabilities of generative AI underlying, it is also about how do you sense information from different applications and then sense or your ability to sense and response becomes a key component of agentic AI. And there, while the standards are evolving in the form of MCP and A2A, I know I'm using technical jargon here, but these are the standards that are helping in doing agent-to-agent communication and also ensuring that you're able to invoke certain APIs, et cetera. And that's where what Boomi brings to the table becomes extremely, extremely significant. What we've done is of not just stopping there, but solving for let's say industry use cases. And if you look at FNOL as in the first notice of loss that lets say your car is hit by an accident and you want to claim insurance. When you call, there are different components of agentic AI, generative AI that get involved there. There is a vision AI, meaning somebody is looking at the car and then trying to assess what the damage could be. There is a voice AI, meaning somebody is calling the contact center, and hence you want agents that can act like human and solve for it. There is brain AI where like I said, you do the sensing part of it, but bring it in so that you can do reasoning. And then there is action part of it where I can invoke an API through Boomi and then get the task done. These are the places where we see tremendous value that Boomi brings to the table.
Dan McAllister
>> And what's fantastic about really working with Ramesh and LTI is how forward they're thinking. So what they have in their booth to show today is great insurance use cases, but Ramesh was showing me these things a year ago that it was in their minds, they're going to build it.
Savannah Peterson
>> I love this. You were so ahead of the game.
Dan McAllister
>> An amazing product.
Savannah Peterson
>> You were so ahead of the game, you already made the investment. You already knew where it was going make you money.
Dan McAllister
>> Exactly right. So as soon as we had the technology available, they were already incorporating it into the business cases and the use cases that they see their customers wanting to produce real value that customers can achieve right away. And so it's just been awesome for us. As soon as we dream up technology, they're already putting it into practice with customers. So it's amazing.
Paul Nashawaty
>> So that's really, really cool. But one of the things that many organizations are talking about right now, which is where to hedge their bets, and you hedged your bet early, real early, and how did you know? What was the key strategic direction that was like, "Hey, this is really what we want to do. We want to put all our wood behind the arrowhead because this is really what we want to do and it's going to grow." That could have been not a great bet, but it turned out to be a really great bet. So how did you know? What did you know?
Ramesh Revuru
>> Yeah, I think that's a great question because we all saw what happened with Metaverse and this could also happen.
Savannah Peterson
>> Yes, we did.
Ramesh Revuru
>> Sorry.
Savannah Peterson
>> That was a very authentic-
Paul Nashawaty
>> Did you have an avatar?
Savannah Peterson
>> Yeah, yeah.
Paul Nashawaty
>> Did you buy real estate in the Metaverse?
Savannah Peterson
>> That was a deep cut, Ramesh, I love that. That was just a low-key Meta shade right there. That was fantastic. But you're so right.
Ramesh Revuru
>> Yeah, and it could have gone in any direction, but our belief was that generative AI, which was good at creation, your ability to create images, your ability to create videos, your ability to create text probably has to go beyond that to solve for a business problem. And that is where we felt that the capabilities of generative AI only can be brought to the fore if we're bringing in the other elements of how do you attach voice AI, how do you attach vision AI, how do you attach brain AI and the action AI part of it?
And that is where we thought that these are the elements that can translate into, and by the way, we've invested in a company called Voicing.ai, and trust me, you can't make out that it's at the other end of the call, not a human being. And then it's so natural, it can deal with interruptions like the way humans do. It can do translation live on a call with a latency of less than 500 milliseconds. And then we started looking at these white spaces investing in. But Boomi and their ability to bring all this together in terms of a marketplace, in terms of a studio, is what helped us in that journey.
Dan McAllister
>> Yeah. What's also great about that is that they didn't just rush for the shiny object of the new application, produce agents, generative AI like many people did.
Savannah Peterson
>> No, it's refreshing listening to your story right now, but I'm not surprised you brought him up, Dan. This makes sense.
Dan McAllister
>> Go back to the business case. And then also data has to feed that, right? So they're smart enough to realize that, "Hey, we have to clean up this data mess that all organizations struggle with to start peeling back the onion on all of the layers of code that have been built up and calcified over the last two decades as application been brought to market." And unwind that for customers, get them on a common data foundation, and then of course get them to a place where they can take advantage of all the cool stuff that these guys are dreaming up and creating.
Paul Nashawaty
>> And there's two pieces here though. When you look at it, there's the modernization, you put the energy behind building off a platform, but really the big advantage there is the flexibility. So even though you are kind of building for the future, and this is where again, a lot of the audience that's watching is going, "What do we do?" They're looking into these segments to go, where do we hedge our bets? So the modular approach that you're taking is you're putting a lot of effort behind building something, but it doesn't have to end there. So with Boomi, you have the flexibility. That's what I was pulling out of what you were talking about.
Ramesh Revuru
>> Yeah, absolutely.
Paul Nashawaty
>> It's like you're going in a direction, you're making your bets, you're saying this is where it's going, but the flexibility behind the system here, behind the build out is really allowing you to be dynamic and adjust later if you need it to.
Dan McAllister
>> Yeah, a 100%.
Ramesh Revuru
>> Absolutely. That's where the agent designer, the agent studio, these components come in because then you're able to design it as per a specific requirement of a customer. And hence Boomi plays a significant role there. But just to bring back on the data point that Dan mentioned is the struggle is on quality of data. If your data quality is not good, your agents will not be able to bring in that level of accuracy. Earlier, we were not able to solve for that problem, but today, we're able to solve for that problem because you can actually take a narrow set of data that is clean, good quality, and then superimpose that with synthetic data. Because generative AI today can generate tons of synthetic data that you need for a specific use case for a specific industry vertical. And that is what we've used to pump into these solutions that I would strongly request both of you also to visit our booth and look at the solutions that we've built on Boomi's stack.
Savannah Peterson
>> Yeah.
Paul Nashawaty
>> Sure. Yeah, please do.
Savannah Peterson
>> Yeah, absolutely.
Dan McAllister
>> Wait, wait. They have to visit the booth for the swag too.
Paul Nashawaty
>> There is.
Savannah Peterson
>> Yeah, mandatory. I'm still giggling about the Metaverse cut. For the record as an analyst, I did know that was never going to work. I was ready to die on that.
Dan McAllister
>> I'm sure I saw your paper on that.
Savannah Peterson
>> And here we are. That was never going to happen. You clearly have a knack for finding the right use cases for this, and I would love to expand that a little bit more. What are some of the other very core use cases that you two working together have discovered to achieve the most benefit?
Dan McAllister
>> Yeah, sure. Well, I'll start first. And we think of the world as very horizontal, right, at Boomi? We produce the technology that ultimately will drive the business that can then be customized and use all the functional knowledge that our partners have. And with LTI mantra is not just the data foundation, not just the cool agents, but they are also taking advantage of the control tower capabilities that we've just launched now and will be generally available to the public in two weeks. And so they will take all of these use cases. And you mentioned flexibility before, not only govern all the agents that Boomi has created or within a single silo, but look at all the other agents that are going to be deployed across that enterprise and deploy a platform that's flexible enough to accommodate all of that. So I know you asked for a very specific use case or industry-based, and I'll let you comment on that, but we view this as we want to be as flexible and capable in all of them as possible.
Paul Nashawaty
>> Of course.
Dan McAllister
>> Yeah.
Savannah Peterson
>> Mm-hmm.
Ramesh Revuru
>> The point that Dan mentioned in terms of one is what can we do with these studios? But you can go on design. Two, how do you ensure that there is a marketplace element to people consumption? So there is a construct part of it and a consumption part of it. So the focus has been on both with Boomi. The beauty of somebody like a Boomi from a consumption standpoint, and he mentioned the use cases and where Boomi can play a significant role. But I'll give you an example, and Dan did bring out that element that I can today build as an agent on another platform altogether. Let's say I'm building something on ServiceNow. ServiceNow is a great partner with Boomi.
I have certain agents that I've built on Boomi. Think of these agents that are grounded in the foundational knowledge or the LLM of what a ServiceNow is running on to a foundational model or an LLM that Boomi is running on. And the agent on ServiceNow has been set a different goal objective to the agent on Boomi, has been set a different goal objective. How do you make sure that the overall business objective is what is playing out in the agent that is controlling this through the control tower is able to ensure that it is for that enterprise context, it is secure. And ensuring that you're able to derive the business outcome is where something like a control tower plays a significant, significant role because it's going to be complex. It's not easy, it's not just about an API invocation. So that's where this is big.
Paul Nashawaty
>> Especially in distributed environments.
Ramesh Revuru
>> Absolutely.
Paul Nashawaty
>> You need to have that control center that lets you see how everything is working.
Ramesh Revuru
>> Correct, correct.
Dan McAllister
>> Yeah, yeah.
Savannah Peterson
>> Yeah, absolutely. It's kind of fascinating. So this is very well-timed for this question, and I gave you a similar version to my closing question earlier today, but I have a different one for you.
Dan McAllister
>> All right.
Savannah Peterson
>> So ignore this question. All right. This is going to you, Ramesh. What do you hope to be able to say when we are at Boomi World 2026 that you can't yet say today?
Ramesh Revuru
>> Okay. At 2026, what I cannot say today is the version of agentic that probably is able to solve for the different standardization protocol problems that are not for solved today, and the ability to solve for them and solve for the customers. Because standardization still in this space is evolving probably 2026 Boomi World, both of us are sitting here and saying that now that the standards are established, specification's there, how are we able to solve it for customers?
Dan McAllister
>> Yeah. Can I just add one thing to that? I would say one thing I definitely want to say about LTIMindtree is that I'd love for them to be another partner of the year again, for us, because I know if we do that, we're going to have been successful at many clients continue to proliferate across their own organization and provide value.
Savannah Peterson
>> Oh, they're the benchmark.
Dan McAllister
>> Yeah, exactly right.
Savannah Peterson
>> The benchmark.
Dan McAllister
>> So they're definitely the high watermark for everybody. Yeah.
Savannah Peterson
>> Yeah. I love that. And Ramesh, I was thinking since you're so good at predicting the future collectively, I feel like you're very much spot on. But the standardization thing is absolutely the case. We haven't been having enough conversations about that. They're happening, but I don't think we've quite gotten there to get up and get the momentum going. Dan, my closing question for you then is, and now you got to expand on it.
Dan McAllister
>> Now I've got to think because this is the one I'm prepared for.
Savannah Peterson
>> Yeah, exactly. So what do you hope to be able to say about your continued partnership with LTIMindtree next year that you haven't been able to say or that you can't yet say today?
Dan McAllister
>> Oh, yeah. So with all of the great plans they have for investments they've made in agentic AI and all the cool use cases that they're putting out, frankly, I hope we keep up. I hope I keep delivering the technology that allows all of their dreams to be possible for their customers. Because I know they're thinking at the bleeding edge of what customers want, how they're going to deliver value, how do they help them capture all the cool things that we think AI can do for us, but we haven't really seen in the market yet. And I want to make sure we're delivering the technology that makes that possible. So that's what I hope that we can keep up. And I know that if we do that again, we'll have another partner of the year award to put on the mantle. They'll invite me back out to visit them in Bangalore again. And if you haven't been in their facilities, it's amazing.
Savannah Peterson
>> I'm waiting for my invite now.
Dan McAllister
>> It's fun. I got to tell you.
Savannah Peterson
>> We're planning to do some stories out there actually. That'd be pretty sweet.
Dan McAllister
>> Yeah, yeah, yeah.
Savannah Peterson
>> I love that. So the key here is to make sure that Ramesh isn't just looking at his clock being like, "Okay, Dan, ready for you to catch up here, bud."
Dan McAllister
>> That's right.
Savannah Peterson
>> We're ready to rock.
Dan McAllister
>> That's right.
Savannah Peterson
>> I love it. This is a really interesting conversation. Ramesh and Dan, thank you so much for being here.
Dan McAllister
>> Our pleasure.
Ramesh Revuru
>> Thank you. Thank you.
Dan McAllister
>> I appreciate it.
Savannah Peterson
>> Thank you, Paul, and thank all of you for your continued attention through this wonderful journey here in Dallas, Texas at Boomi World 2025. My name is Savannah Peterson. You're watching theCUBE, the leading source for enterprise tech news.
Savannah Peterson
Paul Nashawaty