Offer
AI Ops Stabilization Sprint
A focused 10โ€“14 day sprint to stabilize AI operations. We fix the intake, build QA gates, remove manual chaos, and give your team a reporting loop that sticks.
Fixed-scope. Fixed timeline. Clear handover.
Best for

Founders and COOs who

  • Have AI workflows shipping but no consistent QA
  • Rely on Slack and manual checks to prevent incidents
  • Need visibility into model performance and drift
  • Want one owner and one loop that sticks
What you get

AI intake + prioritization

One front door for AI requests, a simple scoring model, and a visible queue.

QA gates + review flow

Human review rules, automated checks, and a clear escalation path for edge cases.

Operational dashboard

Lightweight reporting on reliability, incidents, and throughput.

Tooling clean-up

Remove duplicate tools and ensure data flows into one source of truth.

Documentation + handover

Runbooks, owner map, and guardrails to prevent regression.

Timeline
Week 1

Diagnose + design

Audit your current AI workflows, map failure points, and design the new loop.

Week 2

Build + handover

Implement the workflows, QA gates, and dashboards. Train owners and ship.

Inputs we need

Access

Current AI tools, data sources, and any monitoring you already run.

One accountable owner

A COO or ops lead who can make decisions during the sprint.

Scope limits: This sprint stabilizes one core AI workflow. If you have multiple product lines, we start with the most revenue-sensitive one.