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In this interview from Boomi World 2026 in Chicago, Ken Jaroenchisakon, director of product marketing, Boomi AI, at Boomi, joins theCUBE + NYSE Wired's Gemma Allen to discuss how AI agent governance is becoming the critical bridge between automation pilots and production-ready enterprise deployments. Jaroenchisakon argues that trust — not speed — is the deciding factor in whether AI agents move from experimentation into real adoption. He explains how Boomi positions itself as a governance layer for registering and managing agents regardless of how they were b...Read more
exploreKeep Exploring
What have you been working on at Boomi since 2025—how has your role changed, and how are partnerships influencing Boomi's approach to AI agents and their governance?add
What solutions are being developed to address enterprise data challenges using AI agents, and how have these enabled new capabilities—for example in automating Order-to-Cash—compared with five years ago?add
>> Welcome back, Boomi Community. We are here in Chicago for Boomi World 2026. It's night one and the party is just getting started. Joining me now, it's Ken Jaroenchisakon, Head of Product Marketing and Solution Marketing at Boomi. Welcome, Ken.
Ken Jaroenchisakon
>> Thank you. Great to be back.
Gemma Allen
>> So I thought I came a long way from New York, but you've come from Barcelona, right, to be here the same day?
Ken Jaroenchisakon
>> Yeah, I transferred to the Barcelona office. It's great. I'm grateful of the opportunity, great internal mobility, so just great to be back. I actually went to school down the street, so this year holds a special place for me.
Gemma Allen
>> Oh, wow. Well, when you're not having siestas during the day in Barcelona again, what are you working on in Boomi? What has the last year been like for you as well as this ocean move? Tell me what's gone on since 2025.
Ken Jaroenchisakon
>> Well, I think a lot has happened. There's a lot of innovations that we have come out with. For me in particular, my role kind of shifted from AI product marketing to now solution marketing, which means we are bringing out the greatest platform capabilities, including AI, to resonate better with our customers across line of business, across the industry that they operate in. So just wanted to showed up to customer where they are and meet them on their journey, no matter where they are really.
Gemma Allen
>> When I think about solution marketing, and I worked in this space many moons ago at Microsoft, I think of two things. I think of long-term problems, because often you're trying to fix something that's been there for a while, and also partnerships.
Ken Jaroenchisakon
>> Correct.
Gemma Allen
>> Talk to me about the partnership side of your business at Boomi. Are you seeing more collegiality, more collaboration as the industry comes together to try and solve for some of these challenges?
Ken Jaroenchisakon
>> Of course, I think our partners are everything right to us. They're here today. They sponsor this event. We talk to a lot of our partners, including AWS. Honestly, on the agentic transformation journey, if you think about it, on AI, the agent solutions out there, people can use them to actually build AI agents, deploy them however they want, but still use Boomi to register and govern them. So if you choose to build AI agent without partners, that's great. You can also choose Boomi. But at the end of the day, the question that we should be asking is who is going to be governing the AI agents, and Boomi has a solution for that.
Gemma Allen
>> Well, let's talk about responsible AI and governing agents and how you're building that into your overall solution workflow.
Ken Jaroenchisakon
>> Right.
Gemma Allen
>> First, start with some of the challenges you're seeing. We hear a lot about the world of governance and guardrails and compliance, and how much liability they may or may not be on the horizon. What are your thoughts? What are you seeing?
Ken Jaroenchisakon
>> I think honestly, what we're talking about when it comes to governance, it really comes down to trust and trust is everything. If we treat AI or technology, new technology as a black box, there's no trust. So what we're trying to do this week and beyond is to help customers and partners shine some light into that black block to see how AI agents operate. So what we try to help customers to do is understanding the trust, and that trust is really the difference between AI agents that get stuck in pilot versus the one that get moved into production with real adoptions that the business user can actually enjoy to achieve business outcomes.
Gemma Allen
>> I think it's a challenging time in tech right now in that there is definitely an element of you don't know what you don't know, right?
Ken Jaroenchisakon
>> Yeah.
Gemma Allen
>> And when you think about partners and clients admitting that publicly in this world where it's a race against speed, it's challenging. What do you see and hear from your client side? Do you think there's an element of discoverability still happening on the ground that people are yet to fully admit, or do you think we are actually moving towards a fully autonomous enterprise?
Ken Jaroenchisakon
>> I think there's such a wide range. I actually am co-presenting with one of the customers who just went through ERP transformation, activating the HR and finance data, and that's where they are on their journey. For us, it's really no matter where they are on your journey, we meet you there. Whether or not you want to focus on setting up the foundation, are you ready to deploy AI agents, you're ready to govern them? No matter where you are, we can meet you there. To your point about discoverability, I think there's still people trying to learn, trying to keep up with the speed of this technology. I think in tech, there's this model that we want to move fast and break things, but I want to break that down and make it very clear that, look, there's choices of no code agent development solutions out there. The choices are infinite, but building agents fast doesn't mean it's whispering. So I'm going to go back that breaking things should not apply to autonomous, powerful entities like AI agents. We should think about agent governance from the beginning, not after something breaks. W.
Gemma Allen
>> Hen we think no code, low code, which I know has been the Boomi model and a lot of people across enterprise really like that, right?
Ken Jaroenchisakon
>> Yeah.
Gemma Allen
>> It's low admin in some ways. What do you see from the perspective of the role of technologists versus the role of practitioners and function leads? Are you seeing more and more folks actually involved in the tech workflow?
Ken Jaroenchisakon
>> Yeah. You're talking about the collaboration between IT developers and also the business users, correct?
Gemma Allen
>> Like marketing as an example.
Ken Jaroenchisakon
>> Like myself, for example.
Gemma Allen
>> Or finance or HR.
Ken Jaroenchisakon
>> Yeah.
Gemma Allen
>> Are you seeing more cases where the people running the marketing team are designing this solution?
Ken Jaroenchisakon
>> Absolutely. I think what we have done this year in particular with Boomi is establishing the AI center of excellence. So their whole job is to meet our customers, host this agentic workshop, bringing together the IT developers, the security, the data experts, sitting them down with the business users, the finance, the HR, the marketers, the sellers to make sure that they understand how this technology works. And going back to my point earlier about trust, if we can sit down with the business process owners, understand the pain points and the challenges that they face, what metrics, what KPIs, what business outcomes they're trying to achieve, map that out, try to then apply AI reasoning just a step that they can understand and trust and that the IT developer can explain to them, that's where you see the real value. Because people don't want to wait until next year or the year after to see production value, they want it today. So we see an uprising trend, I would say, that IT and business are now working more in collaboration and in partnership to achieve the goals that they set out to do with AI agents.
Gemma Allen
>> One hurdle that has been unanimous across enterprise is data. There were good, clean data, usable data. We know that it's a big topic for the team at Boomi and for this conference over the next couple of days. Maybe talk to me a little bit about what sort of solutions you are seeing and building for that maybe were impossible five years ago.
Ken Jaroenchisakon
>> With data in particular?
Gemma Allen
>> Exactly.
Ken Jaroenchisakon
>> I mean, the one use case I can tell you is the Order-to-Cash. This is one of the most critically run processes on Boomi. So if you think about the Order-to-Cash process, what that is when you convert the customer demands customer orders into revenue. So if you think about it, that's how businesses make money. Whether or not you operate in manufacturing, you sell shoes, you are in the hiring education, any business that you operate in will require you to make money. So the Order-to-Cash process, when you automate that, that's how much more quickly you get the revenue in your pocket, you get the higher liquidity. And when you identify that process, you do it with an added layer of intelligence that was impossible five years ago, because everything used to be relied on this rule-based automations, what if statements. But now AI agents have contacts based on grounded data that you feed it, based on your enterprise information that you give it through tools, the system that they access and interact and take actions. So now that's all possible. And that's just one of the use cases. We see that across the board from HR to finance and beyond.
Gemma Allen
>> And what about some new sets of customers, so maybe like mid-cap customers, small business, which maybe can avail of some of the opportunities of this era that were perhaps left behind by previous eras like . Are you seeing more opportunities for folks to partake? Do you think it's a more level playing field?
Ken Jaroenchisakon
>> I do think what we have done, I think the past year in particular, we removed all of that complexity, simplified the platform for users across the board. Not just the enterprise, but also the smaller businesses that you are talking about. So they do have easier access now to access AI agents, not just to build them, but we also embed AI agents to the platform to make their jobs easier too. So I do think it's more of an even playing field now today than what we saw years ago.
Gemma Allen
>> So Ken, really exciting days. It's just night one. I know we're going to be tired by the end of this week, but tell me, what are you most looking forward to over the next couple of days?
Ken Jaroenchisakon
>> Look, I know we talk a lot about tech, but I have to say as a tennis fan, Venus Williams probably is somebody that I want to see the most this year in particular. Obviously the keynotes from Steve Lucas, our CEO. There's also a lot of activation points if you see behind us, the control tower.
Gemma Allen
>> Very cool.
Ken Jaroenchisakon
>> The message that we want to reemphasize and reiterate that when you move with authentic transformation, yes, go with speed but also do so in a responsible manner. So what you're seeing right behind is what we want people to take away with.
Gemma Allen
>> Well, I'm certainly looking forward to exploring that. And Venus Williams was my favorite at the Met Gala last week in New York, so maybe ... She won the Met, maybe she'll win Boomer at 2026.
Ken Jaroenchisakon
>> I think so too.
Gemma Allen
>> Ken, thanks so much for coming on theCUBE.
Ken Jaroenchisakon
>> Thank you. Appreciate it.
Gemma Allen
>> I'm Gemma Allen here at theCUBE set of Chicago. We are at Boomi. We're at 2026, so we're talking all things data and the future of enterprise. Stay tuned.