Role-Based Programme
RB1062

AI for Strategy & Transformation Heads

Strategic Foresight, Enterprise Transformation & Decision Intelligence

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

Programme Objectives

  • Develop practical AI capabilities for enterprise strategy, transformation planning, strategic analysis, and executive decision support.
  • Apply AI to analyse markets, competitors, technologies, business models, organisational capabilities, risks, and transformation opportunities.
  • Use AI to strengthen scenario planning, strategic prioritisation, transformation governance, executive communication, and initiative tracking.
  • Identify and prioritise AI-enabled transformation opportunities using business value, feasibility, risk, readiness, and strategic alignment.
  • Apply responsible AI practices related to evidence validation, confidentiality, bias, governance, accountability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisScenario AnalysisStrategic BenchmarkingExecutive SummarisationPresentation ToolsMeeting IntelligenceKnowledge AssistantsWorkflow Automation Concepts

Who should attend

  • Strategy Heads
  • Transformation Heads
  • Corporate Strategy Leaders
  • Business Transformation Leaders
  • Digital Transformation Heads
  • Strategic Planning Heads
  • Enterprise Transformation Leaders
  • Transformation Programme Directors
  • Business Excellence Heads
  • Chief of Staff Professionals
  • Strategy Directors
  • Transformation Directors
  • Innovation Leaders
  • Operating Model Transformation Leaders
  • Senior Strategy & Transformation Professionals

Prerequisites & Participant Readiness

  • Experience in strategy, transformation, business planning, or senior management
  • Familiarity with strategic initiatives, business cases, performance measures, and transformation programmes
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret business reports, research, and structured data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across strategic analysis, planning, transformation, and executive communication
  • Understanding how AI differs from traditional analytics, automation, search, and business intelligence
  • Recognising hallucinations, uncertainty, incomplete context, and model limitations
Practical activities
  • Mapping Strategy & Transformation Head responsibilities to relevant AI applications
  • Identifying high-value strategic and transformation use cases
  • Comparing traditional and AI-assisted strategy workflows

Scenarios

Strategic Disruption to Transformation Response

Market Disruption → Industry Intelligence → Competitor Analysis → Scenario Planning → Strategic Options → Operating Model Impact → Transformation Priorities → Executive Recommendation

Participants use AI to analyse a simulated market disruption, assess strategic implications, compare response options, and prepare an executive transformation recommendation.

Enterprise Transformation Portfolio Redesign

Business Priorities → Current Portfolio → Value & Risk Assessment → Dependency Analysis → Initiative Prioritisation → Governance Review → 90-Day Actions → 12-Month Roadmap

Participants use AI to review a simulated transformation portfolio, identify overlapping or low-value initiatives, reprioritise investments, and build a phased enterprise transformation roadmap.

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