Product & Strategy
A Practical Governance Framework for AI Agents
Assign ownership and controls based on capabilities, data access, action impact, and evidence of reliability.
Inventory capabilities
Record each agent's purpose, users, models, tools, data, permissions, and deployment owner. Governance starts with knowing what can act and where.
Tier by risk
Classify use cases using consequence, reversibility, data sensitivity, and degree of autonomy. Higher tiers require stronger testing, approvals, monitoring, and review cadence.
Treat evidence as ongoing
Approval at launch is not permanent proof of safety. Reassess when models, prompts, tools, policies, or usage patterns change, and learn from near misses as well as incidents.