Upcoming Sessions
Content Overview
AI for Business: from Strategy to Execution is designed to help leaders move from AI ambition to operational execution. The programme combines practical frameworks, case discussions, peer challenge, and applied exercises to help participants build a concrete implementation roadmap for their organisation.
Throughout the programme, participants work on their own transformation priorities while exploring the organisational, strategic, operational, and human dimensions of AI implementation.
Mobilising AI transformation
Participants explore how to translate AI strategy into a structured programme of work that can generate momentum and measurable results.
Topics include:
- Structuring the first 100 days of AI implementation
- Converting AI portfolios into executable programmes
- Sequencing initiatives and establishing decision gates
- Defining milestones and ownership structures
- Balancing short-term momentum with long-term capability building
- Moving beyond isolated pilots towards coordinated transformation efforts
- Creating implementation narratives that sustain organisational engagement
- Identifying and managing execution dependencies and risks
Participants examine questions such as:
- What should happen first in an AI transformation?
- How should initiatives be prioritised and sequenced?
- What decisions must be made before execution begins?
- How can organisations create visible momentum early in the transformation?
Designing effective AI operating models
A core focus of the programme is the organisational and structural choices required to support AI transformation at scale.
Participants examine:
- Centralised, federated, and embedded AI operating models
- Governance structures for AI implementation
- Funding and ownership models
- Build, buy, or partner decisions
- Executive accountability and oversight
- Scaling AI capability across the organisation
- Operating model trade-offs between speed, consistency, and innovation
- Governance structures that support implementation from Day 1
Participants work on defining the operating model and governance approach best suited to their organisation and strategic objectives.
Building the organisation for AI
The programme addresses the people and organisational dimensions that often determine whether AI initiatives succeed or fail.
Participants explore:
- Stakeholder mapping and coalition building
- Managing resistance to AI adoption
- Building leadership sponsorship
- Developing communication and change narratives
- Human-AI collaboration design
- Aligning organisational structures with AI transformation goals
The programme emphasises the importance of designing AI systems, workflows, and communication approaches that employees will actively adopt and support.
Sustaining and scaling transformation
Participants examine how to sustain AI transformation beyond the initial implementation phase and scale successful initiatives across the organisation.
Topics include:
- Measuring AI impact and business value
- Defining meaningful success metrics
- Establishing practical AI governance
- Managing AI-related risks and accountability
- Reporting progress to boards and executive teams
- Scaling successful initiatives across the organisation
- Embedding governance into implementation processes
- Maintaining momentum through periods of uncertainty and change
The programme concludes with a boardroom-style roadmap clinic in which participants present and stress-test their implementation plans through structured peer challenge and faculty feedback.
