Lesson series

AI Project Roadmap and Execution Plan

Turning AI vision into business impact requires more than ideas—it demands a structured roadmap and disciplined execution. This course equips leaders and managers with the skills to design, plan, and lead AI initiatives from concept through to implementation.
You will learn to scope and prioritise high-value AI projects, build cross-functional teams, secure stakeholder alignment, allocate resources effectively, and mitigate risks. Using practical tools for project planning and performance measurement, you will develop the confidence to turn AI strategy into actionable plans that drive measurable results across business units.
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Learning outcome

By the end of the course, participants will be able to:
• Scoping AI Projects for Business Value: Identify, evaluate, and prioritise AI opportunities.
• AI Roadmap Planning Tools & Milestones: Design phased roadmaps with clear deliverables.
• Building & Leading Cross-Functional AI Teams: Structure teams for collaboration and execution.
• Stakeholder Alignment & Resource Allocation: Gain buy-in and distribute resources effectively.
• Measuring Impact & Communicating Results: Define KPIs, calculate ROI, and report outcomes.
• Risk Mitigation & Change Management: Anticipate pitfalls, address challenges, and sustain adoption.

Who Should Attend?

This course is designed for:
• Business Leaders and Managers driving AI adoption and transformation.
• Project and Programme Managers overseeing AI-related initiatives.
• Data, Technology, and Innovation Leaders responsible for execution and integration.
• Consultants and Change Leaders guiding organisations through AI implementation.
• Cross-functional Team Leaders seeking structured methods to deliver successful AI projects.


Course Outline

This course will cover the following topics 
• Scoping AI Projects for Business Value: Identify, evaluate, and prioritise AI opportunities.
• AI Roadmap Planning Tools & Milestones: Design phased roadmaps with clear deliverables.
• Building & Leading Cross-Functional AI Teams: Structure teams for collaboration and execution.
• Stakeholder Alignment & Resource Allocation: Gain buy-in and distribute resources effectively.
• Measuring Impact & Communicating Results: Define KPIs, calculate ROI, and report outcomes.
• Risk Mitigation & Change Management: Anticipate pitfalls, address challenges, and sustain adoption.