displayName
AI-Powered Product Feature Review
workflowKind
governance
triggerType
event-driven
typicalCadence
per-release
complexity
cross-team
description
Reviews AI-powered product features before release for quality,
safety, and user experience -- evaluating model accuracy and latency
on production-representative evaluation sets, reviewing prompt
engineering and guardrail effectiveness against adversarial inputs,
assessing user interface design for appropriate trust calibration and
error communication, auditing data pipeline integrity from feature
store to model serving, reviewing A/B test design and statistical
methodology for measuring feature impact, evaluating PII handling
and data retention in model inference logs, and stress-testing
fallback behavior when model services degrade. Produces AI feature
readiness report, safety evaluation summary, and user experience
assessment. Excludes model training and UI implementation.