Before your AI agents touch systems, money, customers, or regulated data: know what they're allowed to do.
A structured governance assessment for organizations putting AI agents into real systems, not just demos.
Who it's for
Organizations putting AI agents into real systems, anywhere agents can touch money, customers, or regulated data.
The problem
Agentic systems fail quietly until they don't. An agent with too much tool access, no monitoring, and no clear escalation path is a governance gap waiting to become an incident.
The process
Timeline: Scoped per engagement
Agent & System Inventory
Every agent, its tool access, and the systems it touches, mapped in one place.
Risk Classification
Each agent and action classified by risk, with clear control requirements per level.
Governance Framework
Human-in-the-loop rules, escalation paths, and audit requirements designed around your actual risk.
Monitoring Setup
A concrete monitoring plan so governance keeps working after we leave, not just on day one.
Deliverables
- Agent inventory + permission map
- Risk register
- Human-in-the-loop model
- Monitoring plan