After Decades in Enterprise IT, I Started Building with AI Agents

I’ve spent most of my career in enterprise IT — architecture, cybersecurity, governance, risk, compliance. The kind of work where you’re thinking in systems, managing complexity, and trying to build things that hold up under pressure.

A few months ago, I started building with AI agents. Not just experimenting — actually building production systems. Agentic workflows for content pipelines, knowledge management, compliance automation. The kind of things I used to need teams for, I’m now orchestrating with agents.

What surprised me wasn’t the capability. The models are impressive, but that’s table stakes at this point. What surprised me was how much the work felt familiar. The challenges aren’t new — they’re the same ones I’ve been solving for decades. How do you structure complex systems? How do you maintain clarity as things scale? How do you keep quality high when the speed increases?

The tools changed. The problems didn’t.

I’m going to start writing about what I’m seeing at this intersection — enterprise architecture meets agentic AI. Not theory. What I’m actually building, what’s working, and what patterns I’m recognizing from years of doing this kind of work in different contexts.

More to come.