What it changes for the business

• Speed without losing control.Agents can work fast because the gates are mechanical: a release that fails a test, a scan or a signature check simply cannot ship.
• Supply-chain risk handled before production.Every package in a release, direct and transitive, is checked against known vulnerabilities; an open high or critical finding blocks production, and only a person can accept a risk, with a reason and an expiry.
• A person approves every deploy.The approval covers one specific plan (version, commit and environment), needs a second factor, expires, and is never given by an agent.
• Limits enforced by the system, not by the prompt.Agents cannot approve a release, accept a risk, change code or see another organization: those routes simply do not exist for them.

How a change moves

• From request to ticket.A request arrives in chat, Teams or email and becomes a ticket in IT Ops.
• The coding agent picks it up.The local coding agent of that repository reads it through MCP, works on a branch, runs the tests and moves it to ready for release.
• A person approves, the runner ships.The Release Manager agent requests the release; a person approves it with a second factor; the runner builds, scans and deploys it. The ticket closes only when a successful production release carries the change.

The operations squad

• Four agents from AI Offices.IT Leader, IT Security, SRE/Infra and Release Manager create and update tickets, report and verify incidents, review vulnerabilities and request releases.
• People stay in the loop.A development request enters the queue only when a person approves it, and each agent’s token is injected at runtime, so the model never sees it.