Short answer
Govern AI agents on ServiceNow with the boards you already have, and make ownership explicit. The Demand Board approves the use, the Technical Governance Board approves the design, the change board approves production, and a named owner answers for its budget and behavior. Write the stopping rule before it goes live.
Last reviewed Nov 2, 2026
The approval map
| Decision | Who approves | Evidence |
|---|---|---|
| New agent use | Demand Board | Value case, owner, assist forecast |
| Design and data access | Technical Governance Board | Scope, roles, data sources |
| Release to production | Change board | Tests, sub-production results |
| Budget change | Owner and finance partner | Monthly assist report |
| Retirement | Owner | Stopping rule met or value missing |
What every agent needs
An identity, a named owner, an assist budget, a stopping rule and a record of what it did. Inventory them all, including third-party agents acting in ServiceNow, on Super Intelligence Control Tower (formerly AI Control Tower).
AI-built changes
Changes built by AI follow the same path with stricter evidence: sub-production first, automated tests, a human approver at each gate. See governing AI-built changes.
The Agent Value Office sets this up and runs the monthly report.
GCC Now™ is the ServiceNow Accelerator by ANSR × inMorphis, a joint venture for global capability centers (GCCs) and GBS organizations.