The board has seen the demo and wants the autonomous agent live by Q3. That is not how any of this works. Here is the map I actually use to deliver AI: where it goes, and how to reach it without becoming one of the 40% of projects that get cancelled.
Eighteen months ago, a senior exec at a global consulting firm asked me whether we could build RAGs. His customers were banging down the doors. The question is quietly awkward now — and most people still asking it don't actually need what they think they're asking for.
You put your AI agent in a container. You put the container in Kubernetes. You added network policies and RBAC. Then an exec asked it to build a sentiment analysis model and it escalated its way through your entire cloud account. Here's exactly how.
Agentic AI on your laptop is one thing — worst case it trashes your machine. But enterprises want it in the cloud, at scale, pointed at everything. The problem isn't the power. It's the containment. And this thing is smart enough to read the blueprints of its own cage.
Somewhere between 'ask Claude for a quick opinion' and 'Claude is writing our Jira tickets,' we lost the plot. AI agents are brilliant implementers. They're also confidently wrong about every decision that matters. And when it all falls over, they won't be the ones carrying the bag.
AI agents will get you to dev-done at record speed — right up until you realise you're miles past the actual problem. 80% of projects still spend 80% of their time at 80% complete. Agents don't fix that. They just help you reach it sooner.