Role-Based Programme
RB1082

AI for Business Transformation

Operating Model Redesign, Process Innovation & Change Execution

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for business transformation, operating-model redesign, process improvement, and transformation planning.
  • Apply AI to analyse business challenges, processes, performance data, customer needs, organisational capabilities, and transformation opportunities.
  • Use AI to strengthen current-state assessment, future-state design, initiative prioritisation, business-case development, and transformation governance.
  • Improve transformation execution through better stakeholder analysis, change planning, progress reviews, risk monitoring, and executive communication.
  • Apply responsible AI practices related to confidentiality, evidence validation, governance, bias, organisational impact, and human accountability.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisProcess AnalysisOperating Model DesignScenario AnalysisExecutive SummarisationPresentation ToolsKnowledge AssistantsWorkflow Automation Concepts

Who should attend

  • Business Transformation Professionals
  • Transformation Managers
  • Transformation Directors
  • Enterprise Transformation Leaders
  • Digital Transformation Professionals
  • Business Excellence Professionals
  • Process Transformation Managers
  • Operating Model Professionals
  • Change Transformation Leaders
  • Strategic Initiatives Managers
  • Programme Transformation Professionals
  • Continuous Improvement Leaders
  • Business Process Managers
  • Strategy Professionals
  • Transformation Office / PMO Professionals

Prerequisites & Participant Readiness

  • Experience in business transformation, process improvement, strategy, programme management, or operational excellence
  • Familiarity with business processes, KPIs, transformation initiatives, and change programmes
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret business reports, process information, and structured data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across transformation discovery, design, execution, and monitoring
  • Understanding how AI differs from traditional analytics, automation, process tools, and business intelligence
  • Recognising hallucinations, incomplete context, uncertainty, and AI limitations
Practical activities
  • Mapping transformation activities to potential AI applications
  • Identifying high-value AI use cases across the transformation lifecycle
  • Comparing traditional and AI-assisted transformation workflows

Scenarios

Underperforming Process to Future-State Transformation

Business Problem → Current-State Assessment → Process Mapping → Root-Cause Analysis → Future-State Design → Business Case → Change Plan → Transformation Roadmap

Participants use AI to diagnose a simulated business-process problem, redesign the future-state process, evaluate expected benefits, and create a structured transformation roadmap.

Enterprise Transformation Portfolio Prioritisation

Strategic Priorities → Transformation Initiatives → Value & Feasibility Assessment → Risk & Dependency Analysis → Prioritisation → Governance → 90-Day Actions → 12-Month Roadmap

Participants use AI to review a portfolio of transformation initiatives, identify overlaps and dependencies, prioritise investments, and develop a phased enterprise transformation plan.

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