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AI governance · for the enterprise

Governance that runs before the action.

Most governance is a dashboard you read after the fact. Intended runs before the runtime moves: every autonomous action is verified against your declared policies and your business processes — and either authorized cryptographically or refused at the gate.

02 · What you control

01 · Policies

Operator-defined

Your policy set in your domain language. Approver pools, escalation routes, off-hours posture, and risk thresholds tuned per environment.

02 · Process maps

Your declared workflows

Procure-to-Pay, Order-to-Cash, change management, customer onboarding — whatever you actually run becomes first-class verification context.

03 · Risk thresholds

Composite scoring

Inherent, environmental, conformance, and posture combine into one number. You set the line above which actions escalate or deny.

04 · Evidence

Audit-export ready

The audit chain is portable, immutable, cryptographically signed, and replayable; per-tenant public-key (JWKS) verification is shipping soon. Hand it to your auditor; they can replay every decision.

Hand your auditor the chain.

AI Agent Governance for the Enterprise | Intended