Architecture for governed AI writes.
ActionPlane is designed to sit between AI runtimes and systems of record. Cloud services provide identity, compute, queueing, storage, and secrets. ActionPlane adds preview, policy, approvals, execution control, recovery, and audit on top of that substrate.
What remains in the customer cloud
Identity and enterprise authentication
API gateway and secure connector exposure
Queueing and background execution
Secrets, storage, telemetry, and monitoring
Managed execution paths for connectors
What the product adds above that substrate
Change preview and simulation semantics
Connector-aware policy and approval routing
Rollback posture and compensation workflow
Artifacts, audit evidence, and operator review context
Console and Reliability Lab on the same run model
How a governed write moves through the system
Submission
An operator or AI runtime proposes a business-system change through ActionPlane.
Preview
ActionPlane builds the change plan, impact summary, and execution posture.
Policy
The run is evaluated against connector-aware policy, confidence, and approval requirements.
Execution
Approved writes move through managed connector adapters instead of direct unmanaged calls.
Evidence
Artifacts, audit, Console state, and replay metadata bind to the same run record.
Recovery
Rollback posture and compensation remain available if the workflow needs recovery.