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FQ AI Summit 2026

What a Small Trial Can and Can't Show About a Wider Rollout

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

Accountability, Reskilling and Process Change

What can a pilot fail to tell us about a larger rollout?

A pilot can show that a task is possible under certain conditions. It may not show that your organization can support the same work at a different volume or across different teams, so treat the result as the start of the next look.

Write down what helped the trial succeed: the participants' experience, access to experts, data quality and the time spent supervising the work. Don't assume those conditions exist everywhere.

The next team may work with different customers or source systems, and its approval rules may differ too. Any of those can call for a new assessment. Use what the first trial taught you without presenting it as universal proof.

Support matters too. Decide who handles failures when the trial's original champion isn't around, and confirm what maintenance and training will need.

Then make the expansion decision explicit. Extending to one similar team, redesigning part of the workflow or stopping can each be the right call. Success in a trial earns the next examination.

What to try this week

Take your list of trial conditions to the next team and ask which of them it doesn't have. Whatever it names is where your original result may not carry over.