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Governance
Insight without controls is theatre. The Governance pillar is where you act on what Insights surfaced — triage signals, manage the provider inventory, version the policy, and govern production AI workloads separately from people.
What's here
| Page | Use it to |
|---|---|
| Alerts and signals | Triage the behavioural-signal stream — content safety, brand, budget, operational. In the app: Insights → Agent insights → Alerts |
| Detected services | See every AI service Flowstate has observed traffic for in your org, who's using it, and when it last sent traffic. Billing connections (Usage providers) connect from the Integrations marketplace at Settings → Integrations |
| Policy and enforcement | Read the active policy, draft a new version, audit who changed what. Rules live at Resourcing → Agentic workforce → Rules (admin) |
| Service accounts | Govern production AI workloads with their own identity, scope, and signals |
Where Governance ends and Agent begins
Policy lives in the platform. Enforcement happens at the agent. When a rule turns from observe to enforce, the Flowstate Agent on each developer machine intercepts at request time and returns a 403. See Agent → Enforcement for the rollout sequence — the strong recommendation is two weeks of observe before flipping a single rule.
Permission model
Reading the Governance pages requires the AI_GOVERNANCE_VIEW permission. Drafting and activating policy versions requires AI_POLICY_ADMIN. Managing service accounts and provider integrations requires SETTINGS_INTEGRATIONS_UPDATE. See Roles & Permissions for how those map to your org's role bindings.