Applying Lean Six Sigma to Create Verification Systems that Allow AI to Improve PerformanceSeptember 16, 2026 •3:00 PM UTC

As AI dramatically reduces the cost of creating ideas, recommendations, and content, the bottleneck shifts somewhere else: verification.

This webinar introduces a practical framework for evaluating where AI can be trusted, where human judgment remains essential, and how organizations can build the "verification harness" that allows AI to be deployed safely and effectively. Drawing lessons from modern software engineering, participants will learn why AI excels in some environments, struggles in others, and how Operational Excellence provides the discipline needed to bridge that gap.

Rather than asking, "Where should we use AI?" participants will leave with a better question: "Where can we verify AI's work quickly, objectively, and economically?"

Whether you're leading continuous improvement, quality, manufacturing, healthcare, or business operations, this session offers a new mental model for approaching AI and why the profession of Operational Excellence is uniquely positioned to make it useful.

What You'll Learn

• Understand why AI makes generation inexpensive while making verification the new organizational constraint.
• Evaluate AI opportunities using a practical four-question framework based on verification economics.
• Distinguish between machine-verifiable, outcome-verifiable, and gemba-verifiable work and manage each differently.
• Apply Lean and Six Sigma thinking to build verification systems that allow AI to improve performance without increasing organizational risk.
• Recognize why leadership increasingly shifts from creating work to selecting which work is worth pursuing.