Role-Based Programme
RB1327

AI for Process Excellence & Continuous Improvement

Advanced Process Intelligence, Lean Optimisation & Operational Transformation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across process discovery, analysis, redesign, problem solving, performance improvement, and operational transformation.
  • Use AI-assisted analysis to identify waste, bottlenecks, delays, rework, control gaps, root causes, and improvement opportunities.
  • Apply AI to process mapping, value-stream analysis, continuous improvement, Lean problem solving, KPI design, and transformation planning.
  • Use AI-assisted analytics to improve cycle time, quality, productivity, customer value, process consistency, and operational efficiency.
  • Build responsible AI-enabled Process Excellence workflows with strong governance, validation, control, change discipline, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchProcess MappingProcess Mining ConceptsRoot Cause AnalysisLean ImprovementValue Stream AnalysisKPI IntelligenceWaste AnalysisProblem-Solving FrameworksImprovement PrioritisationPerformance DashboardsWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Process Excellence Managers
  • Continuous Improvement Managers
  • Operational Excellence Professionals
  • Lean Practitioners
  • Six Sigma Professionals
  • Process Improvement Managers
  • Business Process Managers
  • Operations Excellence Leaders
  • Process Analysts
  • Business Analysts
  • Transformation Managers
  • Quality Improvement Professionals
  • Operations Managers
  • Process Governance Professionals
  • Leaders Responsible for Operational Transformation

Prerequisites & Participant Readiness

  • Experience in process improvement, operational excellence, Lean, Six Sigma, business analysis, quality, or operations
  • Familiarity with process maps, KPIs, problem-solving methods, root cause analysis, and improvement initiatives
  • Basic awareness of Generative AI and common business applications
  • Comfort working with process, operational, quality, and performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, automation, and AI agents
  • Exploring AI applications across process discovery, analysis, redesign, problem solving, and improvement
  • Distinguishing AI-assisted improvement from autonomous process decision-making
  • Understanding hallucinations, weak evidence, process risk, and human accountability
Practical activities
  • Mapping AI opportunities across the continuous-improvement lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Process Excellence teams

Scenarios

High Cycle Time & Rework to Lean Process Redesign

Current Process → Cycle-Time Analysis → Waste → Rework → Bottlenecks → Root Causes → Future-State Process → KPI & Control Plan

Participants use AI to analyse a slow, high-rework process, identify value leakage and root causes, redesign the workflow, and create measurable process-performance controls.

Large Improvement Backlog to AI-Enabled Continuous Improvement System

Improvement Ideas → Impact & Effort → Process Data → Risk → Prioritisation → Business Cases → Implementation Roadmap → Benefits Tracking

Participants use AI to evaluate a large portfolio of improvement opportunities, prioritise initiatives using evidence, build business cases, and establish a governed continuous-improvement operating model.

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