Course Objective & Scope
In many organisations AI initiatives remain disconnected pilots with no shared goal, ownership or transformation story. This programme positions AI as an instrument of business strategy, clarifies the ambition level (efficiency, product differentiation, new business models) and builds the leadership skills needed to carry that choice across the organisation.
Tools such as the strategy canvas, scenario planning and stakeholder mapping are applied to the organisation's real agenda. On the leadership side, building a transformation narrative, deciding under uncertainty and encouraging teams to experiment are practised through role plays.
Who Should Attend?
- Executive team members and business unit leaders
- Strategy, corporate development and transformation office managers
- Directors responsible for digital and data strategy
- HR and communications leaders
Key Takeaways
- Define the organisation's AI ambition level and strategic priorities
- Complete an AI strategy canvas covering business goals, capabilities and risk appetite
- Map key stakeholders' expectations and create an alignment plan
- Prepare a compelling AI transformation narrative for employees
- Identify leadership behaviours and management rituals that sustain the transformation
Curriculum
How AI Reshapes Competitive Dynamics
- How AI changes the sector value chain
- Efficiency, differentiation and new business model scenarios
AI Ambition Level and Strategic Options
- Follower, fast adopter and pioneer positioning
- Managing uncertainty with scenario planning
- Defining risk appetite
The AI Strategy Canvas
- Business goals, data and technology capabilities, talent gaps
- Identifying strategic initiatives and dependencies
Stakeholder Alignment and the Transformation Narrative
- Stakeholder map, influence and interest analysis
- Storytelling that addresses employee concerns
- Message design for the board and for teams
Transformation Leadership Practices
- A culture of experimentation and psychological safety
- Leadership behaviours, rituals and role modelling
- Rehearsing difficult conversations through role plays
Other Courses in This Category
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Hands-on programme measuring AI readiness across strategy, data, technology, talent, governance and culture with a maturity model, producing a scored maturity profile, gap analysis and improvement roadmap.
- Live Course
- 6 modules
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For managers running AI initiatives: the experimental, data-dependent nature of AI projects, CRISP-DM and PoC–pilot–production stages, success criteria, team roles, AI-specific risks and vendor management.
- Live Course
- 5 modules
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What managers need to know about MLOps and LLMOps to move models from pilot to reliable service: lifecycle, monitoring and drift, evals, cost, platform options (MLflow, Azure AI Foundry, Bedrock, Vertex AI) and team structure.
- Live Course
- 5 modules
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For business unit and strategy leaders: discovering AI opportunities across the value chain, scoring them on value, feasibility and risk, and building a balanced use case portfolio with prioritised use case cards.
- Live Course
- 5 modules
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For finance, strategy and business leaders: measuring financial and operational returns of AI investments, covering TCO, token and infrastructure costs, productivity-to-P&L conversion, baselines and an ROI business case template.
- Live Course
- 5 modules
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For executives, architects and procurement leaders: evaluating in-house build, SaaS buy and strategic partner options for AI solutions across competitive differentiation, TCO, speed to market and vendor lock-in.
- Live Course
- 5 modules
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