AI can propose system changes.
You control execution.
Everything is verifiable.
⚙️ THE PROBLEM
AI automation is powerful. And risky.
Modern AI tools can:
Generate refactors
Suggest shell commands
Modify large codebases
Trigger system actions
But once they have execution access, control becomes unclear.
Approval is optional.
Audit trails are weak.
Trust is assumed.
GateOps exists because trust should be enforced — not implied.
🧱 THE SOLUTION
AI with enforced control.
GateOps sits between AI and your system.
Every proposed action is:
Classified by risk
Blocked until approved
Executed deterministically
Logged in an append-only audit chain
Verifiable with a single command
No silent execution.
No hidden state.
No autopilot surprises.
$ op run refactor full_pipeline→ 142 files detected
→ Classification: Tier 2 (moderate impact)
→ Approval required[Approve] [Deny]