Role-Based Programme
RB1070
AI for Corporate Strategy
Strategic Foresight, Competitive Intelligence & Decision Support
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop practical AI capabilities for corporate strategy, strategic analysis, business planning, and executive decision support.
- Apply AI to analyse markets, competitors, customers, technologies, business models, and emerging strategic risks.
- Use AI to strengthen scenario planning, strategic option evaluation, business-case development, and portfolio prioritisation.
- Improve the speed and quality of strategic research, synthesis, executive communication, and management recommendations.
- Apply responsible AI practices related to evidence validation, confidentiality, assumptions, bias, governance, and human judgement.
Tools covered
Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisCompetitive IntelligenceScenario AnalysisStrategic BenchmarkingExecutive SummarisationPresentation ToolsKnowledge Assistants
Who should attend
- Corporate Strategy Professionals
- Strategy Managers
- Strategy Directors
- Strategic Planning Professionals
- Corporate Development Professionals
- Business Planning Managers
- Business Strategy Analysts
- Strategic Initiatives Managers
- Transformation Professionals
- Chief of Staff Teams
- Business Excellence Professionals
- Market Intelligence Professionals
- Business Unit Strategy Teams
- Senior Business Analysts
- Corporate Planning Professionals
Prerequisites & Participant Readiness
- Experience in strategy, business planning, corporate development, or business analysis
- Familiarity with market research, strategic frameworks, and business-performance information
- 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 research, planning, analysis, and communication
- Understanding how AI differs from search, analytics, automation, and traditional business intelligence
- Recognising hallucinations, outdated information, uncertainty, and incomplete context
Practical activities
- Mapping Corporate Strategy activities to potential AI applications
- Identifying high-value strategic AI use cases
- Comparing traditional and AI-assisted strategy workflows
Scenarios
Market Disruption to Corporate Strategy Response
Market Change → Industry Intelligence → Competitive Analysis → Scenario Planning → Strategic Options → Business Impact → Risk Assessment → Executive Recommendation
Participants use AI to analyse a simulated market disruption, assess implications for the organisation, compare strategic responses, and prepare an executive-ready recommendation.
Growth Portfolio Prioritisation
Strategic Objectives → Growth Opportunities → Market Attractiveness → Strategic Fit → Value & Feasibility Assessment → Risk Review → Portfolio Prioritisation → Leadership Presentation
Participants use AI to evaluate multiple growth opportunities, compare them using defined strategic criteria, and develop a prioritised corporate growth portfolio for leadership review.
Related programmes
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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