Professional services / 18
AI Agent Governance
Controls what every agent may see, decide and do — with validation, traceability and human gates.
Live operating signalAgent invokedContext verifiedNext action prepared →
Business problem
AI Agent Governance: Not another CRM. Not an AI chat.
In the AI Agent Governance domain, critical signals are scattered across systems and teams. Decisions arrive late, ownership becomes unclear and the business sees the issue only after money, time or customer trust has already been lost.
Event → Result
Example operating scenario
- EventCOS detects: Agent invoked.
- DecisionIt combines business context, policy, priority and risk before choosing the next step.
- ActionIt initiates the controlled response: Agent registry and permissions.
- ResultCOS verifies completion, measures the effect and escalates when the expected result is missing.
What COS does
From visibility to controlled execution.
- 01Agent registry and permissions
- 02Autonomy levels and approvals
- 03Quality and cost control
- 04Rollback and human hand-off
Where this domain applies
AI Agent Governance
Professional servicesFinance & business servicesTechnology & SaaS
Signals COS acts on
Designed around real operational events.
Agent invokedRisk thresholdValidation failedCost limit
What to measure
- Process cycle time
- SLA and deadline compliance
- Manual coordination hours
- Exception and error rate
- Revenue, margin or cost impact
Controls and human responsibility
- Role-based access to data and tools
- Human approval for high-risk or irreversible actions
- Complete audit trail from signal to verified result
Works across your existing stack
CRMERPEmailMessagingTelephonyDataInternal APIs
Human confirmation remains mandatory for high-risk actions.Start with this domain
Start with one costly process.
Connect the systems involved, define the operating rule, measure the baseline and let COS close the loop. No rip-and-replace programme.
Discuss a first process