Most AI-on-a-team conversations are about developers. One of the highest-leverage agents I built was for the product side: a ticket-quality agent that shows PMs and POs where work bounces back and why.
Most bugs are catchable at the pull request, if anything actually checks for them. Here is the agentic PR-review and QA setup I built so a multi-dev team stops merging the same kinds of mistakes.
AI is good at writing a plan and bad at noticing what its own plan forgot. A separate review agent with fresh context catches what the first pass missed. Here is why that works and how I use it.