FQ AI Summit 2026
Trust, Governance and Risk
What to ask vendors, reviewers and your own team before trusting AI work, from access limits to mistakes.
My notes from attending the FQ AI Summit in New York, November 10, 2026.
- What is the difference between introducing an AI tool and changing how a team works?Decide Which Work Changes When Your Team Adopts an AI Tool
- How should leaders and employees divide responsibility during an AI pilot?An AI Pilot Needs an Executive Decision and Employee Feedback
- How do I teach AI when some employees are beginners and others already use it?Teach the Same Task at Different Starting Points
- What should senior leaders experience before approving an AI initiative?Senior Leaders Should Try an AI Task Before Approving a Strategy
- How can I get AI feedback on something I have already written?Ask AI to Review Your Draft and Make the Edits Yourself
- What should I ask for when AI feedback says my draft needs to be clearer?Make an AI Writing Review Explain the Reason Behind Each Edit
- What should a morning AI brief contain besides a summary of messages?Build a Morning AI Brief Around Decisions You Need to Make
- How do I improve an AI brief that keeps choosing the wrong priorities?Correct the Rule Behind an AI Brief's Bad Priorities
- How do I discuss AI benefits and risks in the same meeting?Put the Benefit and the Risk in the Same AI Pilot Brief
- What should a business ask when an AI vendor says its product is safe?Turn a Vendor's Safety Claim Into Questions About Your Workflow
- What can I learn from an AI success story without promising my team the same result?Investigate the Work Behind a Fast AI Success Story
- How do I stop AI-generated meeting notes from creating commitments nobody made?Keep an AI Meeting Summary Separate From an Action You Have Accepted
- How much system access should an AI tool receive?Give an AI Tool Only the Access Its Assignment Requires
- Who should hear about an AI mistake and when?Decide What an AI Error Requires You to Tell Someone
- What should accompany a recommendation prepared with AI?A Decision Record for Every AI Assisted Recommendation
- How can I tell whether an AI workflow knows when not to continue?Test the Case Where the Right Answer Is to Stop
- What should I investigate first when an AI tool gives the wrong answer?Review the Source Before Debating the AI Answer
- What should I ask to see beyond an AI vendor's prepared demonstration?Make a Vendor Demonstrate Your Difficult Case
- When should an AI workflow be tested again?Separate a Model Change From a Routine Software Update
- Why does a human review sometimes become a rubber stamp?Reviewers Need Time, Information and Authority to Disagree
- How do we make an acceptable use policy usable during a workday?Write Down the Work Your AI Tool Must Never Do
- Who should keep an AI tool's reference material current?Assign a Person to Maintain the Reference Library
- What belongs in an honest AI efficiency calculation?Recovery Work Belongs in the Cost of an AI Task
- How do we encourage people to raise an AI concern early?Publish a Place to Ask AI Security Questions Before Anyone Acts
- How do I explain an AI risk to a team that isn't technical?Explain AI Risk to Your Team in the Language of the Task
- Why does an internal AI trial need another review before customers use it?An Internal AI Trial Needs Another Review Before Customers Use It
- What should happen when an AI experiment has run its course?Plan How an AI Experiment Ends Before It Starts
- What should leaders learn from an AI adoption dashboard?An AI Adoption Dashboard Should Support a Decision