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AI SIX SIGMA PROGRAMS
Build capability from structured problem framing and statistical evidence through AI-assisted validation, DMAIC certification, and secure JMP/JSL automation—with human decision ownership.
AI SIX SIGMA
Focused Analysis Workshop
A focused process-improvement data-analysis workshop using AI, JMP, and core Six Sigma statistical methods to investigate problems, validate AI-generated conclusions, and communicate evidence-based recommendations.
Quality • Operations • Process Improvement • Engineering
Program Details →AI LEAN SIX SIGMA
Complete DMAIC Practitioner Training
A complete Green Belt training and certification program combining DMAIC with AI-assisted JMP analysis, root cause investigation, statistical validation, project documentation, and management-ready reporting.
Quality • Operations • Engineering • Improvement Professionals
Program Details →AI LEAN SIX SIGMA
Advanced Analysis & Improvement Leadership
Advanced training for professionals leading complex process, quality, operational, engineering, and cross-functional improvement projects using Lean Six Sigma, JMP, decision validation, and responsible AI governance.
Experienced Practitioners • Managers • Improvement Leaders
Black Belt Certification Pathway: Includes at least 95 student contact hours in the Lean Six Sigma Black Belt Body of Knowledge, plus AI-focused instruction, assessment, and project review.
Program Details →THE AI6SIGMA STRUCTURED METHODOLOGY
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.
Define the process problem, CTQs, scope, performance gap, and decision criteria using a structured problem-framing workflow.
Use Lean Six Sigma methods, calculations, JMP analysis, and practical case studies to establish what the data actually supports and develop defensible conclusions.
Accelerate investigation, analysis planning, interpretation, and reporting while validating critical conclusions against JMP statistical evidence.
Turn 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.
ADVANCED JMP AUTOMATION
Advanced Engineering & Operations Workflow Automation
Uses a repeatable 11-step automation framework to build validated JMP/JSL automation engines for recurring analysis and process-improvement workflows.
For JMP-enabled organizations that want to move beyond analysis into repeatable AI-assisted analytical and process-improvement automation using JMP and JSL while maintaining statistical validation and human decision ownership.
Individuals and company teams may request follow-on support to apply the methodology to real improvement projects, validate analyses, prepare management reviews, implement controls, and operationalize validated workflows.
Ask About Implementation SupportINDIVIDUAL PROFESSIONALS
Ask about upcoming training dates, course fit, registration, and the program that best matches your improvement responsibilities.
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