Role-Based Programme
RB1087

AI for Change Management

Advanced Adoption Strategy, Workforce Transformation & Change Intelligence

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

Programme Objectives

  • Develop advanced capability to apply AI across change strategy, stakeholder analysis, communication, adoption, capability building, and transformation programs.
  • Use AI-assisted analysis to assess change impact, stakeholder readiness, resistance, risks, communication needs, and adoption barriers.
  • Apply AI to create change plans, communication strategies, learning interventions, leadership messages, and adoption-monitoring frameworks.
  • Evaluate change initiatives through stakeholder impact, organisational readiness, workforce capability, behavioural adoption, governance, and measurable outcomes.
  • Build an actionable AI-enabled change management roadmap aligned with business transformation priorities and responsible AI principles.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceChange Impact AnalysisStakeholder MappingSentiment Analysis ConceptsCommunication PlanningAdoption AnalyticsKnowledge AssistantsWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Change Management Professionals
  • Change Managers
  • Senior Change Managers
  • Organisational Change Professionals
  • Transformation Change Leads
  • Change & Adoption Managers
  • Business Transformation Professionals
  • Change Communication Professionals
  • Organisational Development Professionals
  • Learning & Change Professionals
  • Program Change Leads
  • Digital Adoption Professionals
  • Transformation Office Professionals
  • HR Transformation Professionals
  • Senior Managers Responsible for Organisational Change

Prerequisites & Participant Readiness

  • Experience in change management, transformation, HR, organisational development, program management, or business change
  • Familiarity with stakeholder management, communication planning, adoption, and transformation programs
  • Basic awareness of Generative AI and common business applications
  • Prior exposure to digital transformation or enterprise change initiatives is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
  • Exploring AI applications across change strategy, communication, adoption, learning, and stakeholder engagement
  • Distinguishing AI-assisted change management from traditional communication automation
  • Understanding limitations, hallucinations, bias, context gaps, and human accountability
Practical activities
  • Mapping AI opportunities across the change-management lifecycle
  • Identifying change activities suitable for AI augmentation or automation
  • Creating an AI opportunity map for change teams

Scenarios

Enterprise System Change to Adoption Strategy

Transformation Initiative → Change Impact → Stakeholder Mapping → Readiness Assessment → Communication → Learning → Adoption Risks → Reinforcement Plan

Participants use AI to analyse a major enterprise system change, identify impacted groups, assess readiness, design communication and learning interventions, and create a structured adoption strategy.

AI Adoption Across the Organisation

AI Initiative → Workforce Impact → Stakeholder Concerns → Capability Gaps → Change Strategy → Communication & Learning → Adoption Measurement → Reinforcement Roadmap

Participants design a comprehensive change management plan for organisation-wide AI adoption, covering leadership sponsorship, employee readiness, capability building, communication, responsible AI, adoption tracking, and sustained behavioural change.

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