Role-Based Programme
RB1027
AI for C-Suite Executives
Advanced Strategy, Decision Intelligence & Enterprise AI Transformation
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced executive capability to apply AI across strategy, decision-making, business performance, transformation, and organisational leadership.
- Apply AI-powered research, analysis, scenario modelling, and decision frameworks to complex enterprise challenges.
- Evaluate and prioritise enterprise AI opportunities based on strategic value, feasibility, risk, investment, and measurable business outcomes.
- Build leadership capability for AI governance, operating-model design, workforce transformation, responsible adoption, and change management.
- Develop an actionable enterprise AI transformation roadmap aligned with business priorities, governance requirements, and executive accountability.
Tools covered
Generative AI AssistantsAI Search & Deep ResearchDocument IntelligenceData AnalysisScenario ModellingExecutive Presentation ToolsAI-Powered AutomationKnowledge AssistantsAI AgentsDecision-Support Tools
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
- Chief Transformation Officers
- Business Presidents
- Executive Vice Presidents
- Business Unit Heads
- Executive Leadership Team Members
Prerequisites & Participant Readiness
- Significant experience in senior leadership, business management, or enterprise decision-making
- Familiarity with strategic planning, financial performance, organisational transformation, and governance
- Basic awareness of Generative AI concepts and common AI applications
- Prior exposure to AI-assisted productivity or decision-support tools is beneficial
- No programming knowledge required
TOC Modules
Concepts
- Understanding the evolving enterprise AI landscape: Generative AI, multimodal AI, reasoning models, agents, and automation
- Understanding AI capabilities across knowledge work, analytics, communication, operations, and decision support
- Distinguishing productivity AI, embedded AI, autonomous agents, and enterprise AI platforms
- Recognising technical and organisational limitations of AI at scale
Practical activities
- Mapping AI opportunities across a sample enterprise value chain
- Identifying leadership activities suitable for augmentation, automation, or continued human ownership
Scenarios
Enterprise AI Transformation Strategy
Business Strategy → Enterprise Challenges → AI Opportunity Discovery → Use-Case Portfolio → Prioritisation → Business Case → Governance → Workforce Impact → Transformation Roadmap
Participants act as an executive leadership team and develop an enterprise AI transformation strategy that balances growth, productivity, investment, risk, governance, workforce readiness, and measurable business value.
AI-Enabled Strategic Investment Decision
Strategic Opportunity → Deep Research → Market & Competitor Intelligence → Financial Analysis → Scenario Planning → Risk Assessment → Decision Matrix → Executive Recommendation
Participants evaluate a significant AI-enabled business opportunity by combining market evidence, business performance information, scenarios, investment considerations, organisational impact, and risk into a board-ready decision recommendation.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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