FQ AI Summit 2026
AI Experiments and Institutional Knowledge
How to run small AI experiments, learn from them each week, and keep the knowledge that experienced employees hold.
My notes from attending the FQ AI Summit in New York, November 10, 2026.
- How can a weekly review show what a team learned?Make the Weekly Learning Review Test an Assumption
- What institutional knowledge should a team understand before automating a task?Capture the Exceptions an Experienced Employee Knows
- How can employees participate in an AI project before the tool is already built?Building an AI Workflow With the Employee Who Does the Work
- How can a team act on questions customers keep asking?Give a Repeated Customer Question a Decision Owner
- Should an AI pilot start with a plan to scale or start with a question to learn from?Agree on What an AI Pilot Is Allowed to Prove
- What does an employee need before they can experiment with AI at work?Give Employees an Approved Place to Experiment
- How do we assess a week when the main result was learning?Count Learning in a Weekly Review When It Changes a Choice
- How can we preserve process knowledge while keeping the people who hold it involved?Document Institutional Knowledge With an Experienced Colleague
- What should happen after AI helps identify a recurring customer concern?Give a Customer Insight a Route Into the Product Team
- What should a brand do when customers ask about a benefit it has not claimed?Keep a New Product Question Separate From a New Product Claim
- How do we avoid keeping an AI trial alive just because we invested in it?Ask What Would Make You Abandon the Experiment
- What should we keep from an AI experiment besides the successful output?What to Record So Someone Else Can Repeat an AI Experiment
- Can we copy an AI workflow that already works elsewhere in the company?Adapt Another Team's AI Workflow to Your Own Task and Permissions
- How many AI experiments should a team run at once?Keep an Experiment List Small Enough to Finish
- How can business and IT teams avoid talking past each other in an AI project?Make the Business Expert and Technical Expert Describe the Same Task
- How should a team track an AI question that needs more work?How to Preserve an Unanswered AI Question for Someone Else
- How do we keep improving without changing everyone's process every week?Make Continuous Learning Compatible With Stable Work
- How do we train people for exceptions the instruction sheet does not cover?Teach the Reason Behind a Workflow Step Through an Example