AI agents are already doing real work, taking tasks off people's plates, automating what used to take hours. But a lot of organizations are still on the sidelines, and honestly, that makes sense. Security questions, reliability concerns, the fear of losing control: these things matter.
What's changing is that the answers are getting clearer.
With the right guardrails and a bit of focus, secure agent deployments are genuinely within reach, sooner than most people expect. As a Mendix partner, we see this up close. Low-code platforms like Mendix have quietly made it a lot easier to build, govern and ship agent-powered apps in a way that IT and security teams can actually get behind.
Still, the technology is only half the story. The other half is how teams work together. Clear roles, good processes, shared ownership, the same things that make human teams effective turn out to matter just as much for agent teams. A lot of what we've already learned applies directly.
We guarantee you'll leave with at least a few ideas worth testing.
And when the sessions wrap up, we're firing up the barbecue.
What can you expect?
How collaboration is changing
AI isn't just reshaping what gets built, it's changing how teams work together. Ideation, testing, review cycles: all of it looks a bit different now. We'll explore what that shift really means in practice.
From pilot to production
Real examples of AI agents built on Mendix that are actually running in production. What worked, what didn't, and what it really took to get there.
Staying in control
What makes an agent production-ready, and how Mendix's governance features keep your teams moving without things going sideways.
Structuring your agent teams
How to assign roles and responsibilities across your agents, and how Mendix workflows keep things auditable and reliable.
Who is it for?
This session is designed for leaders, architects and innovators who want to move AI agents from experimentation to secure, scalable production use.
Speakers
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