Most enterprise research teams have already experimented with AI. The harder part is operationalizing it in a way that meets enterprise standards for rigor, defensibility, and real business impact.

In this session, Amazon Senior UX Researcher Sarah Kling joins Aneesh Dhawan, CEO of Knit, to outline how Amazon integrated AI into its research practice.

They will walk through the progression from early hesitation in 2024 to a scaled application in 2026. You’ll hear specific examples of where AI outputs fell short, what improved with stronger human oversight, and what ultimately allowed AI-supported research to inform strategic decisions.

If your team is somewhere between pilot and scale, this session is designed to help you assess what comes next. You’ll leave with a clearer sense of where AI belongs in your workflow, how to apply judgment without slowing momentum, and how to raise confidence in outputs across stakeholders.

What You’ll Learn:

• What it actually takes to move AI from experimentation into an operational research model.
• Where human judgment must sit inside an AI workflow to protect quality and credibility.
• What earns stakeholder trust when research is powered by a hybrid human-plus-AI approach.