Practical AI Governance for Product Teams

A lightweight framework for review, monitoring, and accountability without slowing delivery.

Sarah JenkinsTechnology AnalystMarch 5, 2026 · 10 min read

AI governance workflow with review checkpoints and monitoring signals

Governance should enable speed with guardrails, not block it with committees. Product teams need clear thresholds for human review, data retention, and model change management.

Three layers of control

Policy defines what is allowed. Platform enforces authentication, logging, and rollout patterns. Product teams document intended use, failure modes, and escalation paths per feature.

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