Role-Based Programme
RB1026

AI for C-Suite Executives

Strategic Leadership, Decision Intelligence & Enterprise Transformation

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

Programme Objectives

  • Develop intermediate-level capability to apply AI across strategy, executive research, business analysis, decision preparation, and leadership communication.
  • Use structured AI techniques to investigate markets, competitors, business performance, risks, scenarios, and strategic alternatives.
  • Apply AI to synthesise complex reports, datasets, meetings, and organisational information into executive-ready insights.
  • Evaluate and prioritise enterprise AI opportunities using business value, feasibility, risk, governance, and adoption criteria.
  • Develop stronger executive judgement around AI-generated evidence, assumptions, recommendations, bias, confidentiality, and responsible deployment.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument IntelligenceData AnalysisScenario ModellingExecutive SummarisationAI-Powered Presentation ToolsMeeting IntelligenceKnowledge AssistantsWorkflow Automation Concepts

Who should attend

  • Chief Executive Officers
  • Managing Directors
  • Chief Operating Officers
  • Chief Financial Officers
  • Chief Information Officers
  • Chief Technology Officers
  • Chief Human Resources Officers
  • Chief Marketing Officers
  • Chief Strategy Officers
  • Chief Digital Officers
  • Business Presidents
  • Executive Vice Presidents
  • Business Unit Heads
  • Executive Leadership Team Members

Prerequisites & Participant Readiness

  • Experience in senior leadership, business management, or enterprise decision-making
  • Familiarity with strategic planning, management reviews, financial or operational reports, and organisational priorities
  • Basic familiarity with Generative AI tools is recommended
  • Ability to work with business documents, reports, and structured data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, AI assistants, and emerging agentic capabilities
  • Understanding how AI differs from traditional analytics, automation, search, and business intelligence
  • Exploring AI's impact on competitive advantage, productivity, operating models, and workforce structures
  • Understanding current capability boundaries, hallucinations, uncertainty, and model limitations
Practical activities
  • Mapping AI opportunities against a sample organisation's strategic priorities
  • Identifying leadership activities that can be augmented by AI
  • Evaluating examples of high-value versus low-value executive AI applications

Scenarios

New Market Entry Decision

Strategic Opportunity → Market Intelligence → Competitor Analysis → Business Model Assessment → Scenario Planning → Financial & Operational Considerations → Risks & Trade-Offs → Executive Decision Brief

Participants use AI across multiple stages of strategic analysis to evaluate a potential market-entry opportunity and prepare an evidence-based leadership decision brief.

Enterprise AI Transformation Portfolio

Business Priorities → Functional Challenges → AI Opportunity Discovery → Value & Feasibility Assessment → Risk & Governance Review → Prioritised Portfolio → 12-Month Transformation Roadmap

Participants identify and evaluate AI opportunities across a sample organisation and develop a prioritised transformation portfolio balancing business value, implementation readiness, governance, risk, and organisational adoption.

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