Role-Based Programme
RB1061
AI for Strategy & Transformation Heads
Strategic Foresight, Business Transformation & Decision Intelligence
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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop
Programme Objectives
- Understand how AI can support Strategy and Transformation Heads across strategic analysis, portfolio planning, transformation design, and executive decision-making.
- Apply AI to analyse market shifts, business performance, transformation opportunities, risks, dependencies, and strategic options.
- Use AI to improve transformation planning, programme reviews, stakeholder communication, executive reporting, and change coordination.
- Develop practical skills for scenario planning, assumption testing, prioritisation, business-case development, and decision preparation.
- Understand responsible AI adoption, governance, confidentiality, bias, and leadership accountability within transformation initiatives.
Tools covered
Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisScenario AnalysisTransformation PlanningExecutive SummarisationAI-Powered Presentation & Communication Tools
Who should attend
- Strategy Heads
- Transformation Heads
- Chief Transformation Office Leaders
- Corporate Strategy Leaders
- Business Transformation Directors
- Digital Transformation Leaders
- Strategy Directors
- Transformation Programme Heads
- Business Excellence Heads
- Enterprise Transformation Leaders
- Strategic Planning Heads
- Change & Transformation Leaders
- PMO Transformation Leaders
- Senior Strategy Professionals
Prerequisites & Participant Readiness
- Experience in strategy, transformation, business planning, or enterprise change
- Familiarity with strategic initiatives, transformation programmes, business cases, and executive reviews
- 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-powered research
- Understanding the relevance of AI to strategy, transformation, productivity, innovation, and business-model change
- Distinguishing AI assistance from traditional analytics, automation, and strategic-planning tools
- Understanding AI limitations, hallucinations, uncertainty, and evidence-quality risks
Practical activities
- Identifying recurring Strategy and Transformation activities suitable for AI assistance
- Comparing traditional and AI-assisted approaches to a strategic-analysis task
- Mapping AI opportunities across the transformation lifecycle
Scenarios
Business Challenge to Transformation Portfolio
Business Challenge → AI-Assisted Analysis → Strategic Drivers → Transformation Opportunities → Value & Complexity Assessment → Prioritisation → Transformation Portfolio
Participants use AI to analyse a sample business challenge, identify potential transformation initiatives, evaluate them against business-value and feasibility criteria, and create a prioritised transformation portfolio.
Transformation Initiative to Executive Decision
Transformation Proposal → Business Case → Assumptions → Benefits → Risks & Dependencies → Scenario Comparison → Governance → Executive Decision Brief
Participants use AI to structure and challenge a transformation proposal, compare alternative scenarios, identify key risks and dependencies, and prepare an executive-ready decision brief for leadership review.
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