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FQ AI Summit 2026

Adapt Another Team's AI Workflow to Your Own Task and Permissions

My notes from attending the FQ AI Summit in New York, November 10, 2026.

AI Experiments and Institutional Knowledge

Can we copy an AI workflow that already works elsewhere in the company?

A workflow that works on another team can teach you a lot, but your team has its own sources, permissions and responsibilities. Take the lessons, then check your own constraints separately before copying anything.

Ask the original team to explain the problem it solved and the conditions that mattered, and keep those lessons apart from the exact configuration in its environment. Then map your own task and spot the differences. Customer information, external communication and financial authority can be governed differently even inside the same organization.

Access credentials don't travel with the lesson

The appropriate owners should approve the receiving team's scope. Credentials, connected folders and action permissions were part of the example, and that alone is no reason to reuse them.

Start with a bounded test and judge the result in your own context. Credit the original team's contribution, and remember the new use is yours to answer for. A successful internal case is a valuable starting point for questions, and it's no shortcut around the checks that make a workflow suitable for another group.

What to try this week

Ask a team with a working AI workflow what problem it solved and which conditions mattered. Then list what differs for your team before anyone asks for its access.