Description
AI-READY LEAN PRACTITIONER PROGRAM (Instructor Lead Training)
Most AI training focuses entirely on the tool.
This course focuses on the practitioner. Designed for Lean professionals at any belt level, this program proves that you are already perfectly positioned to use AI responsibly. We will explore how your existing commitment to data, flow, waste reduction, and the gemba translates directly into effective AI use.
Learn how to leverage AI to sharpen your problem framing and process analysis, while ensuring human-centered change remains the driving force behind your improvement work.
Date: December 9, 2026
Format: Live online instructor-led, delivered in two parts: morning and afternoon
Instructor: Andrew Gryfe
Cost: $895 plus applicable tax
Modules: 9
Audience: White Belt, Yellow Belt, Green Belt, Black Belt, or equivalent Lean practitioners
Credential: Digital badge issued through Accredible, valid for 2 years and shareable on LinkedIn
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Cancellations and Refunds:
Cancellations made at least 4 weeks before the cohort start date receive a full refund, minus a $75 cancellation fee.
Cancellations made after this deadline are not eligible for a refund.
All fees quoted are subject to relevant tax
Objectives
By the end of the program, you will be able to use AI responsibly and effectively to support your improvement work. Specifically:
- Identify the right type of AI for a given Lean task and explain why it fits.
- Write focused prompts using the CRAFT framework, built on the problem-framing discipline you already apply.
- Map AI across each phase of PDCA and know where judgment must stay in the lead.
- Apply AI to value stream mapping, 5 Whys, A3, and standard work.
- Spot errors, hallucinations, and weak assumptions before acting on AI output.
- Assess data readiness before relying on AI for reliable value.
- Apply a seven-question responsible-use checklist to any AI-assisted task.
- Judge whether a predictive analytics output is reliable enough to act on.
- Identify bias risks before applying AI-assisted recommendations.
- Complete an applied exercise that brings every module together in a real context.
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