Change and release, safer and faster
AI change-risk scoring, CAB automation and deployment/rollback orchestration with collision detection.
Change is still the #1 cause of unplanned outages
Manual CAB reviews and blind deployment windows turn routine change into recurring risk.
CAB bottlenecks
Every change waits in the same queue regardless of actual risk.
Blind risk assessment
Approvers judge risk from memory, not from historical failure data.
Change collisions
Overlapping releases in shared systems trigger avoidable outages.
What it does
How ITMox scores and orchestrates change risk
Risk-score
Flag high-risk changes from history and blast radius.
Route CAB
Auto-approve low-risk changes, escalate the rest.
Orchestrate
Sequence deployment with collision checks and rollback.
Verify
Confirm post-deploy health before closing the change.
Who it's for
Change Manager
Safer changes, fewer collisions.
Release / DevOps
Automated deploys with rollback.
Head of Infrastructure
Fewer change-caused incidents.
Buyer outcomes
Why teams choose AI-driven change & release
Risk-based automation replaces blanket caution with targeted control, so safe changes move fast and risky ones get real scrutiny.
Faster release velocity
Auto-approve low-risk changes instead of queuing everything for CAB.
Lower change-failure rate
Score risk from historical outcomes before a change ever ships.
No rip-and-replace
Layers onto existing CI/CD and ITSM tooling without a platform swap.
Audit-ready governance
Every approval, deployment and rollback is logged for compliance review.
Change and release, safer and faster
Automate this workflow with agentic AI — grounded in your operational data and governed by policy.
Automate Change & Release