Case studyArchitecture, governance, and how to adapt this pattern in a pilot
Business use case
Your agent demo looks great until someone asks: “What stops it from issuing refunds or granting access?” The answer can’t be “the prompt says please don’t.”
Solution
Evaluate proposed actions against deterministic rules before execution. Route allowed actions, queue approvals, and block forbidden classes.
Outcomes
- Safer pilots: no autonomous writes by accident
- Clear audit story: rule hit → decision → execution path
- Easier legal review: controls are explicit code, not folklore
Delivery playbookDiscovery → pilot → scale
- 1Discovery2–4 wks
List tool actions that must never auto-execute; map approver roles and audit fields.
- 2Pilot6–8 wks
Run read-only tools first; route every write through deterministic gate and approval queue.
- 3Scaleongoing
Persist decisions; integrate with ServiceNow/Jira approvals and role-based controls in IAM.
Where else this appliesThis is the control plane for agentic work: deterministic gates that decide whether a model proposal can proceed, must be approved, or is blocked.
Refund and credit policies
Prevent autonomous refunds; enforce tier/amount thresholds with approval routing.
Identity and access
Block any automated access grants; require ticket linkage and approver roles.
Outbound comms
Draft emails freely; require approval before sending to customers.
Data exports
Gate bulk exports behind role checks and audit logging.
Keep the gate in code (or a policy engine) and treat model outputs as proposals. The same gate can sit in front of CRM, ITSM, or email tools on any cloud.