Pillar 03 · AI Cruise

Autonomy you can actually take your hands off.

Cruise control was never about removing the driver — it was about earning the right to relax. AI Cruise gives enterprises graduated, measured autonomy for their agent fleets, supervised end to end by Matron.

Autonomy levels: L0 → L4
Supervisor: Matron
Handover: Named reviewer + SLA
Envelope: Certified runbooks

The premise

Autonomy should be granted, measured and revocable.

Most enterprises jump from pilot to production with no notion of how much autonomy an agent has earned. AI Cruise replaces that binary with a ladder: every agent operates at an explicit autonomy level, promoted only on evidence and demoted automatically when assurance signals degrade.

Matron is the supervisor that holds the envelope — enforcing guardrails at the tool boundary, routing exceptions to humans, and feeding every deviation back into the Assurance Ontology as a finding.

The autonomy ladder

Five levels. Promotion by evidence only.

L0ManualHumans act. AI observes and drafts. Nothing executes autonomously.

L1AssistedAI proposes actions, a human approves each one before execution.

L2SupervisedAI executes low-risk actions inside policy; Matron reviews the exception queue.

L3ConditionalAI runs whole workflows autonomously; humans are the fallback on escalation.

L4High autonomyAI operates the domain end to end within a certified envelope, with continuous assurance.

Matron

The supervisor for your agent fleet.

Supervisor

Matron Control

The supervisory runtime

Live policy envelope per agent, per workflow, per business unit
Autonomy level promotion and demotion based on measured performance
Instant handover to a named human with full trace context
Kill-switch and safe-state rollback for any agent or fleet

Runbooks

Matron Runbooks

Certified operating procedures

Machine-readable runbooks that define permitted actions and preconditions
Every runbook version is tested, red-teamed and certified before promotion
Deviation detection against the certified procedure in real time
Post-incident replay of the exact decision path taken

Guardrails

Matron Guard

Runtime constraint enforcement

Budget, blast-radius, rate and scope limits enforced at the tool boundary
Sensitive-action gating with dual control for irreversible operations
Adversarial and drift signals from the Assurance Stack close the loop live
Constraint breaches recorded as findings, not silent retries

Cockpit

Cruise Cockpit

Operator surface

Fleet view of every agent, its autonomy level and current health
Exception inbox with SLA timers and reviewer ownership
Cost, token and outcome telemetry per workflow
Board-ready autonomy posture reporting

How it connects

Cruise closes the loop with the rest of the stack.

The Assurance Stack decides what an agent is allowed to do. Clauvis enforces contract terms at the commit point. AI Cruise governs how much of that space an agent may traverse without a human — and records every metre of it.

Assurance Stack

Supplies test, security and drift evidence that sets the autonomy level

Clauvis

Blocks any action that breaches a live contract obligation, at any level

Recursive Registry

Records lineage so a promoted agent version carries its own history

Next steps

Bring your hardest AI system. We will assure it.

Technical deep-dive on your live agents, an 8–12 week pilot with agreed success metrics, and partnership or investment conversations.

Request a briefing Explore the architecture