Enterprise AI is moving from experimentation to orchestration

Flying back home somewhere between airport coffee, sleep deprived, and replaying conversations from the week in my head… one thing kept hitting me: Something felt very different this year. Vegas always helps. The lights. The chaos. The nonstop energy around the Venetian.

People jumping from sessions to hallway conversations to late night discussions over drinks like the entire ecosystem was running on caffeine and ambition.

K26 felt electric. Not in the usual “big tech conference” way. In a much deeper way.

Before K26, I wrote about how Agentic AI was not going to be about better answers. It was going to be about execution. About orchestration. About enterprises figuring out how AI actually operates inside real environments. And after spending a week there, it genuinely feels like the industry is starting to catch up to that realization.

You could feel it everywhere. In the keynotes. In the expo halls. In CreatorCon. In random conversations while waiting for coffee.
Even during the brunch we hosted alongside Bettera and Stridepath.

I believe some of the best conversations of the week happened there. Not polished presentations.Not keynote decks. Just founders, operators, and partners talking openly about what happens when AI starts operating inside real enterprise environments…and I loved each and every part of it. Cheers and thank you to everyone who joined us. 

People were not debating whether AI is coming anymore. That conversation is over.

Now the conversations are becoming much more real:
How do you govern it?
How do you scale it?
How do you operationalize it?
How do you build delivery teams that can evolve continuously while the technology changes every few months?

And somewhere in the middle of those conversations, it really hit me:

AI is no longer sitting beside the business. It’s starting to operate inside it. That changes everything. One thing that really stood out to me was how much the conversation moved beyond copilots.

ServiceNow said it directly from the stage:
“Put AI to Work: The Agentic Era.”

You could feel what they meant immediately. This wasn’t about helping employees write emails faster anymore. Now we’re talking about AI agents that can actually trigger workflows, coordinate systems, route approvals, and execute work across the enterprise. That’s a completely different level of responsibility.

And suddenly all the governance conversations happening across K26 started making a lot more sense. Because once AI starts operating inside production environments, things get real very quickly.

That's where ServiceNow AI Control Tower started clicking differently for me... deploying AI is one thing, but operationalizing it across the entire enterprise is where things get real.

When ServiceNow published their AI Outcomes-Based Delivery Model Playbook this week, I read it and thought we've been building this since 2024. Odyssey is that operating system.

Another moment that really stayed with me was Otto. At first, it felt like another enterprise chatbot announcement. But the more I saw it, the more it felt like something much bigger. This wasn’t really about chat. It was about enterprise work starting to happen through conversation. And that changes everything. Because now you’re not just asking AI questions. You’re asking it to actually execute work across the enterprise. That’s a very different future.

And that future just got more personal for us. ServiceNow Otto, formerly Moveworks, is now core to the platform. One of our GCC partners was the first organization globally to earn Moveworks Pathfinder accreditation. Hear the Stridepath team talk all about it here. 

And then there was the Vibe Code Lounge. I genuinely loved the way they were thinking about this. The whole idea that developers increasingly describe intent while AI helps build the implementation around it… you could literally feel how fast enterprise delivery is about to change.

Not five years from now. Happening Now.

One more signal worth noting and it's easy to miss in the noise of product announcements. AI is now embedded across every ServiceNow SKU tier: Foundation, Advanced, Prime. That's not a feature decision. That's a platform philosophy decision. AI is no longer an add-on. It's the default. The commercial implications of that will take a few quarters to fully show up. But they will.

And this is where things started getting really interesting for me. Because AI is no longer just changing enterprise software. It’s changing how software gets built, how teams operate, how delivery evolves, and how enterprises scale execution itself. That shift was everywhere at K26.

Not always explicitly. But you could feel it underneath everything.

Somewhere between walking the expo floor, late-night conversations, coffee-fueled discussions, and probably one too many Vegas beers, it genuinely started feeling like the ecosystem had entered a completely different phase. The future stopped feeling theoretical. It started feeling operational.

Honestly that might be the biggest takeaway I’m bringing back from K26. The next phase of enterprise AI will not be won by the companies talking about AI the most. It will be won by the ones that figure out orchestration, governance, workflow intelligence, operational architecture, enterprise context, and AI-native execution.

For the team here at BOT, K26 reinforced something we’ve believed for a while now: AI-native enterprise delivery needs a completely different operating model.

The ESM push into commercial and mid-market is probably the signal I’m most excited about. ServiceNow is clearly calling it the next big opportunity and that’s exactly where many of our clients already operate today.

It’s also where BOT’s 6-week launch model starts making a lot more sense.

And somewhere between the Vegas chaos, AI conversations, coffee, and conversations with teams like Bettera and Stridepath, one thing became very clear: The future stopped feeling theoretical this year. It started feeling operational.

K26 is over. The build starts now. And from Jaipur, we’re already in it.

‍