DEFINE
Advanced project selection • scoping • business impact • stakeholder alignment • cross-functional structure • risks • management expectations
AI LEAN SIX SIGMA BLACK BELT
10-Day AI-Powered Lean Six Sigma Black Belt
Lead complex improvement projects with advanced DMAIC, ChatGPT and Microsoft Copilot-assisted analysis, JMP statistical validation, DOE, governance, implementation, leadership communication, and defensible management decisions.
Who This Program Is For
For engineers, program managers, EPMs, TPMs and improvement leaders who need both Green Belt foundations and advanced methods to lead complex technical and cross-functional improvement work.
THE AI6SIGMA DIFFERENCE
What AI-Powered Black Belt Means
The structured 4-stage AI6Sigma methodology helps leaders apply AI-assisted analysis to complex improvement work while advanced DMAIC, JMP evidence, DOE, governance, implementation, and professional accountability remain central.
THE COMPLETE DMAIC ROADMAP
Structured Improvement From Definition Through Control
MEASURE
Advanced measurement planning • measurement systems • capability • baselines • analytical readiness • complex variation • JMP exploration
ANALYZE
Advanced hypothesis testing • ANOVA • advanced regression • multiple-factor relationships • root-cause investigation • AI-assisted hypothesis exploration • hallucination detection • validation
IMPROVE
Advanced DOE • interaction effects • process optimization • solution trade-offs • implementation decisions • risk • recommendations
CONTROL
Advanced process-control strategy • SPC • control planning • sustainment • project documentation • management review • leadership communication • closeout
Where AI Assistance Adds Value
Analysis StrategyJMP InterpretationRoot Cause InvestigationDecision ValidationImprovement EvaluationProject DocumentationManagement Reporting
THE AI6SIGMA STRUCTURED METHODOLOGY
The AI6Sigma Problem Solving Approach
AI6Sigma teaches a structured 4-stage methodology for AI-powered process improvement. Defined step-by-step workflows across every stage move participants from a clearly framed problem to statistical evidence, AI-assisted validation, and repeatable execution rather than ad hoc prompting or unsupported AI outputs.
Frame the Problem
Problem Framing — 5 Steps Where ApplicableDefine the process problem, CTQs, scope, performance gap, and decision criteria using a structured problem-framing workflow.
Establish Statistical Evidence
2-Step Statistical Evidence WorkflowUse Lean Six Sigma methods, calculations, JMP analysis, and practical case studies to establish what the data actually supports and develop defensible conclusions.
Accelerate & Validate with AI
6-Step AI-Assisted Validation WorkflowAccelerate investigation, analysis planning, interpretation, and reporting while validating critical conclusions against JMP statistical evidence.
Implement, Control & Automate
11-Step Automation Framework in the Automation ProgramTurn validated recurring analysis into controlled, repeatable JMP/JSL workflows that can remain inside the company's secured environment while professionals retain decision ownership.
Structured steps within each stage make the workflow repeatable, teachable, and review-ready.
AI accelerates. JMP validates. Professionals own the decision. Secure automation scales validated improvement.
RESPONSIBLE AI GOVERNANCE FOR IMPROVEMENT PROJECTS
Use AI Productively Without Losing Control of the Decision Process
✓ Distinguish AI reasoning from evidence
✓ Detect hallucinations and recognize uncertainty
✓ Validate interpretations
✓ Document evidence and preserve decision trails
✓ Use AI responsibly in reporting
✓ Preserve confidentiality and organizational-use expectations.
✓ Maintain human review and final decision ownership
BLACK BELT PROJECT LEADERSHIP
Move From Analysis to Organizational Impact
Project Strategy
Cross-Functional Leadership
Evidence-Based Decision Making
Management Review
Project Execution
10-DAY BLACK BELT TRAINING
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Plan Your Training
AI6Sigma builds on Global Lean Sigma’s 20+ years of practical engineering problem-solving training.
Live Instructor-Led Learning
Attend scheduled virtual sessions or arrange onsite training for your team. Ask questions, discuss case results with peers and receive instructor feedback.
Apply the Learning at Work
Reuse project and problem-framing templates, AI prompts, validation checks and decision summaries with teammates on suitable improvement opportunities.
Experience & Software
No prior AI or JMP experience required. Familiarity with basic statistics and data analysis is recommended. Use a company-approved AI tool such as ChatGPT or Microsoft Copilot. Training demonstrations and exercises use JMP with supplied practice datasets.
Participant Feedback from Prior Global Lean Sigma Training
Rachel Johnston, Technical Program Manager, Intel
“The material and examples were very useful and now feel confident to do activities/use tools to solve business problems. Highly recommend this course. Instructor was top-notch.”
Feng Zhang, PhD, Director of Advanced Data Analytics, Western Digital
“Richard is one of the best instructors I have had. He demonstrates both width & depth of knowledges. Strong recommendation of this Black Belt training.”