AI-Powered Lean Six Sigma for Leaders is a one-day, leadership-focused course designed to help leaders improve speed, quality, and consistency across their organisations using practical Lean Six Sigma principles enhanced by AI. Participants learn how to spot waste, reduce inefficiencies, and make better decisions using data-driven insights—without needing deep statistical or technical expertise.
This course equips leaders with the language, frameworks, and AI-enabled tools they need to confidently sponsor improvement initiatives, guide teams through change, and sustain results. Through hands-on exercises using AI-generated sample data, leaders gain actionable insight into how Lean Six Sigma and AI work together to drive measurable business outcomes, faster time to value, and stronger organisational performance.
AI-Powered Lean Six Sigma Delivery Methods
AI-Powered Lean Six Sigma Course Information
AI-Powered Lean Six Sigma Course Outline
Module 1: Define Phase (Leadership + AI Foundation)
- Introduction to Lean, Six Sigma, and the role of AI in modern decision-making.
- Evolution of Six Sigma and how AI accelerates improvement cycles.
- Understanding variation with AI-driven analyses and visualisations.
- Voice of the Customer (VOC) enhanced through analytics.
- Process fundamentals: maps, COPQ, and key metrics (FTY, RTY, cycle time).
Module 2: Lean Fundamentals & Elements of Waste
- Understanding value vs. non-value work supported by AI-driven data examples.
- The 7 wastes (Muda) and how AI detects waiting, rework, motion, and bottlenecks.
- Using 5S to organise digital and physical environments.
- Real-world IT and service examples of waste elimination.
Module 3: Measure Phase — Process Discovery
- Defining the real process (as-is vs. assumptions) using mapped workflows.
- Cause & Effect (Fishbone) diagrams automatically generated from data patterns.
- Detailed value stream mapping to uncover delays and rework.
- Introduction to FMEA with risk scoring and prioritisation.
Module 4: Measure Phase — Basic Statistics and Measurement Reliability
- Leadership overview of data types.
- Descriptive statistics enhanced by AI-generated charts and dashboards.
- Understanding normal vs. special-cause variation.
- Measurement System Analysis (MSA) with accuracy and precision diagnostics.
Module 5: Control Phase — Lean Controls for Sustained Success
- Overview of Lean control tools strengthened by AI monitoring and automated alerts.
- 5S, Visual Factory, Standard Work, Kanban, and Kaizen.
- Building simple control plans with long-term performance improvements.
