Staging environment

Field notes from 40+ AI deployments

Hosted by Su Belagodu

Wed, Sep 23, 2026

3:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Pilot to Production: Human Oversight Design for AI Leaders
Su Belagodu
View syllabus

What you'll learn

Spot AI Failure Patterns Early

Learn the oversight gaps that quietly show up after AI moves from pilot to production

Understand Where Humans Belong

See how to decide when humans should review, intervene, escalate, or stay out of the way.

Pressure-Test Your AI Workflow

Leave with sharper questions to assess whether your AI system is ready to scale responsibly.

Why this topic matters

AI pilots look fine in the demo. The real test comes after launch, when humans are overloaded, escalation paths are unclear, and nobody is measuring whether oversight actually works. In this lightning lesson, I’ll share field notes from 40+ AI deployments and the failure patterns leaders should catch before AI scales into risk.

You'll learn from

Su Belagodu

AI Transformation Advisor and Creator of the HITL Maturity Model™

Su Belagodu is an AI Transformation and AI Product Strategy Advisor who helps leaders move AI from experimentation to responsible adoption. She is the creator of the HITL Maturity Model™ and HITL Health Index™, frameworks used to assess whether human oversight in AI systems is real, measurable, and operationally useful.

Her work is grounded in field experience across 40+ AI deployments, where she has studied the failure patterns that show up after launch: overloaded reviewers, unclear escalation paths, misplaced trust, and governance that exists in slides but not in daily work. She works with AI leaders, product teams, founders, and executives to build systems that can survive production pressure, audits, and growth

See all products from Su

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.