One front door for AI requests, a simple scoring model, and a visible queue.
Human review rules, automated checks, and a clear escalation path for edge cases.
Lightweight reporting on reliability, incidents, and throughput.
Remove duplicate tools and ensure data flows into one source of truth.
Runbooks, owner map, and guardrails to prevent regression.
Audit your current AI workflows, map failure points, and design the new loop.
Implement the workflows, QA gates, and dashboards. Train owners and ship.
Current AI tools, data sources, and any monitoring you already run.
A COO or ops lead who can make decisions during the sprint.