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FQ AI Summit 2026

Practice One Customer Conversation Skill With an AI Roleplay

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

Creative Review and AI Predictions

What can an AI customer roleplay teach a customer facing employee?

A Kate Spade example in the creative judgment panel described using simulated customers to help stylists practice conversations. That's a training use, and it isn't evidence that a simulation can predict what a real customer will buy. Keep that line clear when you build the exercise.

Panelists seated on stage under the session screen.
The creative judgment panel. The Female Quotient AI Summit, Webster Hall, New York, November 10, 2026.

Pick a skill the employee can demonstrate: clarifying a request before recommending a product, explaining a verified policy or responding when someone turns down the first suggestion. Know what a useful response would include before anyone starts.

Build the scenario from approved information and from situations your team recognizes. Leave identifiable customer conversations out unless the training use is permitted. Give the simulation limits, including which facts it may use and when the employee should go ask a person.

Judge the conversation by the skill. Whether the simulated customer agreed to buy tells you very little. A flattering simulation can reward a weak explanation, and a difficult one can invent objections that have little to do with the job.

Have a qualified reviewer check the product and policy statements. Ask the employee what they'd change and let them try again. Include one case where the right response is admitting an answer needs checking.

After that, watch whether the skill carries into supervised work, and keep the training result separate from any claim about sales performance.

What to try this week

Write the one skill you want to practice as a single sentence, then list the facts the simulated customer may use. Hand both to a qualified reviewer before anyone runs the exercise.