The problem

Managed-IT work (patching, config, access) is labour-heavy across many clients; one bad autonomous change is a multi-tenant outage or a privilege-escalation incident.

What you get

Changes staged through rings with health gates and auto-rollback; JIT least-privilege access; tenant isolation; fleet-wide / privileged / destructive changes escalated.

The flow

Intake to outcome. 🤖 steps run automatically; 🧑‍⚖️ steps are where a named human signs off the judgment calls.

1

🤖 Detect the change needed (patch / config / remediation) and take a pre-change snapshot

agent intake · MonitoringPatch sourceBackup / DR
2

🤖 Plan a staged rollout (rings + health gates + tested rollback) scoped to one tenant

agent planner · RMM
3

🤖 Check blast radius, JIT least-privilege, tenant isolation and SOC 2 controls

agent compliance · Identity provider
4

🧑‍⚖️ A change manager approves fleet-wide, privileged or destructive changes Human checkpoint

MSP engineer / change manager
5

🤖 Apply to the canary ring with a health gate; auto-halt and roll back on regression

agent operator · RMMIdentity provider
6

🤖 Verify, widen the rollout, and log every action for the SOC 2 audit trail

agent monitor · MonitoringPSA / ticketing

Agents & tools

Monitoring stub today → Datadog
Patch source stub today → vendor feeds
Backup / DR stub today → Veeam
RMM stub today → NinjaOne
Identity provider stub today → Okta
PSA / ticketing stub today → ConnectWise

Connectors run as sandbox stubs today — flip to the real provider to go live.

Human checkpoints

MSP engineer / change manager — A change manager approves fleet-wide, privileged or destructive changes

The autopilot escalates the judgment calls to a qualified human — the rest is straight-through.

Why it's safe to let it run

Every autonomous decision is logged — who · what · confidence. Signed human checkpoints and a built-in compliance reviewer enforce the rails, so the outcome holds up to an audit, not just a demo.

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