The Lean Green Belt Certificate workshop is a deep dive into the Lean structured problem solving method known as DMAIC (define, measure, analyze, improve) for government and knowledge workers. Participants learn how to facilitate improvement projects and get results by applying the concepts to a simulated process and one from their own organization (8 days, individual project). Green Belt participants also learn to evaluate where AI fits best in the processes they improve - using a structured decision framework to distinguish between problems best solved by process redesign and problems where AI adds genuine value. In total, achieving a Lean Green Belt certificate requires approximately 16 days of hands-on effort spread over a 3 - 5 month period.

Typically, the individual project (after implementation) will create annual time savings to more than offset the time you invest in the program. For example, if the program and assignment require 16 days of the participant's time, then improvement solutions should save 32 days per year on an ongoing basis.

Green Belt participants learn to see AI as an additional, powerful tool in their improvement toolkit - not a replacement for analysis, but a potential solution for the right process problems. The focus is on building strong facilitation and analytical skills and applying AI where it genuinely improves flow in the target process.

• The Lean Green Belt certificate workshop is targeted to:

• Employees of organizations who want to develop in-house capability to lead (facilitate) and sustain one or more process improvement projects and/or are embarking on a large-scale Lean transformation

• The learning objectives of this workshop include:

• Learn how to apply DMAIC (a structured 5-step approach to process improvement) to facilitate improvement projects and get sustained results through continuous improvement
• Apply principles of change management for better results
• Understand and explain Lean principles to others

• Topics covered include:

• Introduction to Lean as it applies to knowledge work
• How to identify and eliminate interruptions to flow and waste (the 8 Lean Wastes)
• Introduction to the DMAIC 5-step approach to process improvement
  • DEFINE (current situation, target situation, problem statements, objectives)
  • MEASURE (conducting interviews, collecting process data, value stream mapping, find possible causes)
  • ANALYZE (data analysis to find and prioritize root causes)
  • IMPROVE (identify, prioritize, plan, test and implement solutions)
  • CONTROL/CONTINUE (visual management, report-out meetings, error-proofing, standard work, visual work instructions)
• Change management techniques (creating buy-in, execution planning, common people challenges and solutions, facilitation skills)
• ANALYZE: The Decision Rule - a 5-question framework for deciding when AI is the right solution vs. process redesign. Priority Framework for scoring root causes.
• IMPROVE: Designing AI into your future state - specifying AI solutions with the same rigor as any process change. Building and testing effective prompts for AI-enabled process steps.
• Knowing the boundaries of using AI as a Lean facilitator.