1-Day Instructor-Led Training
After-Course Instructor-Coaching Included
AI-Powered Lean Six Sigma for Leaders
Course 4730
- Duration: 1 day
- Language: English
- Level: Foundation
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
Online
Upskill your whole team by bringing Private Team Training to your facility.
AI-Powered Lean Six Sigma Course Information
Course Benefits
- Builds a shared leadership understanding of Lean and Six Sigma principles
- Enhances decision-making using AI-supported analytics and visualisations
- Helps leaders identify waste, variation, bottlenecks, and risk across processes
- Provides practical tools to improve flow, quality, and consistency
- Supports sustained improvement through lightweight controls and monitoring
- Serves as a leadership on-ramp to broader Lean Six Sigma or transformation programs
Prerequisites
None; this course is suitable for leaders at all levels with no prior Lean Six Sigma experience.
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.
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AI-Powered Lean Six Sigma FAQs
This course is designed for leaders and senior professionals who sponsor, influence, or guide process improvement and transformation initiatives, including:
- Executives and senior leaders
- Directors and managers of operations, IT, or business functions
- PMO and portfolio leaders
- Digital transformation and continuous improvement leaders
- Change enablement and operational excellence leaders
No, this is not intended as an exam prep course, however, the course does cover Lean Six Sigma concepts at the white belt level.
Yes, the course is available online and through private team training, providing flexibility to meet participants' needs.
This course does not require statistical software. While tools like Minitab or SigmaXL can be helpful to explore concepts further, they are not needed to complete this course. A generative AI tool like ChatGPT, Gemini, or Copilot is used for examples and exercises.