Role-Based Programme
RB1608

AI-Powered Continuous Improvement & Lean Six Sigma

Smarter Process Analysis, Root Cause Identification & Performance Improvement

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Continuous Improvement and Lean Six Sigma activities across process analysis, problem solving, root-cause review, and improvement planning.
  • Explore practical prompting techniques for process mapping, waste identification, issue analysis, DMAIC support, and performance summaries.
  • Apply AI to organise operational information, identify patterns, structure improvement opportunities, and prepare continuous-improvement outputs.
  • Identify opportunities to improve analysis speed, problem visibility, documentation quality, and decision support.
  • Recognise data quality, process context, validation requirements, and human-review responsibilities when using AI for improvement initiatives.

Tools covered

Generative AI AssistantsAI-Assisted Process AnalysisRoot Cause Analysis SupportSpreadsheet AnalysisProcess MappingImprovement Opportunity IdentificationPerformance SummarisationBasic Workflow Automation

Who should attend

  • Continuous Improvement Professionals
  • Lean Practitioners
  • Lean Six Sigma Professionals
  • Process Improvement Executives
  • Operational Excellence Professionals
  • Quality Managers
  • Quality Executives
  • Process Excellence Professionals
  • Business Process Analysts
  • Operations Professionals
  • Lean Six Sigma Green Belt Professionals
  • Process Owners
  • Continuous Improvement Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of quality, processes, or operational improvement
  • Familiarity with Lean, Six Sigma, root-cause analysis, or process metrics is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Continuous Improvement and Lean Six Sigma
  • Identifying AI applications across process analysis, problem solving, waste reduction, and improvement planning
  • Understanding AI assistance versus process-owner and improvement-professional judgement
  • Recognising activities where validated process data and human review remain essential
Practical activities
  • Mapping common Continuous Improvement activities to potential AI applications
  • Comparing a traditional improvement task with an AI-assisted approach

Scenarios

Process Delay to Root Cause & Improvement Plan

Process Data → AI-Assisted Process Map → Bottlenecks → Waste → Root Cause Analysis → Improvement Ideas → Action Plan

Participants use AI to analyse a sample operational process, identify delays and waste, explore potential causes, and prepare a structured improvement plan for professional review.

Improvement Initiative to Performance Review

Baseline Metrics → Improvement Actions → Post-Change Results → AI Comparison → Benefits → Remaining Gaps → Management Summary

Participants use AI to compare sample before-and-after process data, highlight observed improvements and remaining issues, and prepare a concise management-ready continuous-improvement summary.

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