Role-Based Programme
RB1081

AI for Business Transformation

Process Reinvention, Change Strategy & Transformation Execution

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Business Transformation across process redesign, operating-model improvement, change planning, and transformation governance.
  • Apply AI to identify business pain points, process inefficiencies, capability gaps, risks, and transformation opportunities.
  • Use AI to support current-state analysis, future-state design, initiative prioritisation, roadmap development, and stakeholder communication.
  • Develop practical skills for evaluating transformation initiatives based on value, feasibility, complexity, dependencies, and risk.
  • Understand responsible AI use, data confidentiality, governance, workforce implications, change management, and human accountability.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisProcess AnalysisTransformation PlanningScenario AnalysisExecutive SummarisationAI-Powered Presentation & Communication Tools

Who should attend

  • Business Transformation Managers
  • Transformation Directors
  • Transformation Programme Managers
  • Business Excellence Professionals
  • Process Transformation Professionals
  • Digital Transformation Managers
  • Operational Excellence Leaders
  • Change Management Professionals
  • Strategy & Transformation Professionals
  • Enterprise Transformation Professionals
  • PMO Professionals
  • Business Process Managers
  • Continuous Improvement Leaders
  • Senior Business Transformation Professionals

Prerequisites & Participant Readiness

  • Basic understanding of business processes, transformation, change, or improvement initiatives
  • Familiarity with business operations, project delivery, or process documentation is helpful
  • Basic understanding of digital business tools
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI, AI assistants, multimodal AI, and AI-assisted analysis
  • Understanding how AI can support process improvement, transformation design, planning, and communication
  • Distinguishing AI-enabled transformation from simple automation or digitisation
  • Understanding AI limitations, hallucinations, uncertainty, and data-quality risks
Practical activities
  • Identifying Business Transformation activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to a transformation task
  • Mapping potential AI applications across the transformation lifecycle

Scenarios

Inefficient Process to Future-State Transformation

Current Process → Pain Points → Root-Cause Questions → Transformation Opportunities → Future-State Design → Value & Feasibility → Roadmap → Management Review

Participants use AI to examine a sample inefficient process, identify improvement opportunities, design a future-state approach, and develop a structured transformation roadmap.

Transformation Portfolio to Executive Action Plan

Business Priorities → Candidate Initiatives → Value & Complexity → Dependencies → Risks → Prioritisation → Governance → Transformation Action Plan

Participants use AI to assess multiple transformation initiatives, prioritise them using defined criteria, identify implementation dependencies and risks, and prepare an executive-ready transformation action plan.

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