Pilot to Production: Human Oversight Design for AI Leaders
Su Belagodu
Responsible AI Adoption
Your pilot passed because someone was watching. Production needs a design.
You own an AI rollout. The pilot worked. Now leadership wants it scaled to more teams, more volume, more decisions, and you can feel the gap between what the pilot proved and what production will demand.
I have audited 40+ production AI deployments. The pattern repeats. Pilots pass because a few motivated people watch every output and volume stays low. Scale removes both. The watchers return to their day jobs, errors multiply, and nobody can say who should have caught them. The model rarely broke. The human layer was never designed.
This course is where you design the human layer before production exposes its absence. Bring one AI workflow. Over two weeks you score it on the HITL Health Index™, place it on the HITL Maturity Model™, and build what production requires: confidence-based routing, escalation thresholds, a reviewer capacity model, and checkpoint gates for agents.
You leave with a scored baseline, a documented oversight design, and a 90-day plan to move up a level.
What you’ll learn
Go from hoping your AI pilot survives production to knowing it will, with a score and a plan you can show your leaders and the board
Baseline one live workflow on the HITL Health Index™ and place it on the five-level HITL Maturity Model™.
Find the gaps that low volume and hand-picked reviewers hid, including the warm body problem: reviewers present, no longer catching errors.
Send high-risk cases to a human, let low-risk outputs move on their own, and set the thresholds before deployment while changing them is che
Cap review load, protect domain judgment from erosion, and treat human attention as a budgeted resource in your rollout plan.
Decide which agent actions need human approval before execution, which must be reversible, and how sub-agents stay visible.
Map your design to EU AI Act and NIST AI RMF requirements and walk out with a ranked plan to move up one maturity level.
Learn directly from Su
Su Belagodu
AI Native CPO| Creator of the HITL Maturity Model™ | 40+ AI Deployments Audited.
Who this course is for
Product leaders whose AI feature is moving from one team to the whole company, and who will own every error it makes at that scale.
Founders heading into an enterprise deal or funding round where someone will ask how oversight works, and a slide will not satisfy them.
AI and operations owners running reviewers who approve more each week and catch less, with no way to measure if oversight still works.
What's included
Live sessions
Learn directly from Su Belagodu in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Diagnose
Week 2
Design
Schedule
Live sessions
1 hr / week
Live sessions with varying themes each week
Async content
2 hrs / week
Independent work, Free resources and async conversations
Frequently asked questions
Maven for Teams
Reimbursement
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