How is your product team actually using AI "together"?
I lead a small product team (PM, PMM, UX Researcher, UX Designer). We're deep in building out a structured AI-assisted workflow for product discovery, prototyping, and validation, and I keep running into the same wall: Everyone uses AI, but in silos.
We built copy-paste prompts, inconsistent outputs, different interpretation of the workflow, and no shared context that are centrally updated . One person's Claude session has nothing to do with another's.
I really want AI to be a structured layer inside our actual product process where each role runs a defined workflow, outputs are consistent and feed into each other, and the knowledge base is shared across the team. I'm a big believer that AI should not be replacing anyone's thinking, but accelerating the structured work so our cross-functional collaboration is faster.
A few things I'm genuinely curious about in a team context:
Is anyone actually doing this well? Using AI as a team capability rather than a personal productivity tool.
Where are some good resources that I can tap into to learn how AI should be deployed within a product team. I can find a ton of resources on personal AI productivity but almost nothing on team-level AI workflows for product work specifically.
Would love to hear what's actually working for people, and where the good resources are.