AI Governance Framework For Enterprise Scale

1. Define AI Decision Rights Early

Assign clear decision owners across product, data, legal, and operations. This avoids bottlenecks and ensures AI initiatives move with accountability.

2. Build A Risk-Tier Model Inventory

Create a model registry that classifies risk based on business impact, customer exposure, and regulatory sensitivity. High-risk models should get stricter controls.

3. Operationalize Monitoring And Review

Track model drift, performance degradation, and policy compliance continuously. Governance must be operational, not just policy documentation.