Your team has the seats. The adoption stalled anyway.

You rolled out AI tools. You paid for the seats. Some engineers went deep. Most didn't. Now you have five different workflows, a VP asking for proof of ROI, and senior devs calling each other's PRs AI slop in Slack. The tools are fine. That was never the problem.

I ran a 40-person engineering team across five squads and made every mistake in that playbook. No shared workflow. No baseline metrics. No definition of what good AI usage even looked like. I had pockets of brilliance sitting right next to PRs rotting in queues. After I left that role, I built the thing I never had time to build: a structured, multi-agent pipeline that gives every developer the same starting point. I call it the A(i)-Team. One agent classifies work. One writes code. A separate one reviews it. The agent that writes never gets the final say.

Working with me isn't a workshop or a deck. It's figuring out where your team's adoption actually broke, building the shared workflow that fixes it, and leaving you with something your engineers will actually use. If you're staring at half-used seats and no clear story about whether any of it is working — that's exactly where I start.