AI products need more than clean UI. Users need to understand what the system is doing, when to trust it, when to intervene, and how to recover when something goes wrong.

I review your AI workflow through the lens of user confidence, control, feedback, explainability, failure states, and human-in-the-loop decision-making. The goal is to identify where the product may feel unclear, risky, overly automated, or hard to trust.

Deliverables include an annotated UX audit, severity-ranked findings, recommendations for confidence/control/failure states, suggested human-review patterns, and a prioritized next-step roadmap.