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Executive AI Bootcamp — Full Curriculum

Four full days, 09:00–17:00 BST. Seven sessions per day (50 min content + 10 min break). Lunch 12:00–13:00. 28 sessions total. Designed for senior public-sector leaders responsible for technology, digital, governance or organisational transformation.

Day 1
AI Fundamentals & Public Sector Context
09:00 – 09:50
What AI Actually Is
Machine learning, deep learning, large language models and generative AI. Explained without jargon. What these technologies do and don't do.
10:00 – 10:50
The Public Sector AI Landscape
Where AI is already in use across UK public services. Case studies: what has worked, what hasn't, and the common reasons why.
11:00 – 11:50
AI as Strategic Capability vs Tool
The difference between tactical adoption and strategic enablement. Why "buying AI" without strategy creates risk.
12:00 – 13:00
Lunch
13:00 – 13:50
Data Readiness & Infrastructure
What AI needs from your data. Common data quality issues in public sector. Assessing whether your organisation's data is AI-ready.
14:00 – 14:50
Understanding AI Outputs
How to evaluate what AI produces. Confidence, accuracy, hallucination, bias. What "good enough" looks like for different use cases.
15:00 – 15:50
The Human Dimension
Workforce implications, change management, skills gaps. How to bring staff along without creating fear or resistance.
16:00 – 16:50
Day 1 Synthesis & Reflection
Key takeaways. Group discussion. Questions from the day.
Day 2
Risk, Ethics & Regulatory Landscape
09:00 – 09:50
AI Risk Categories for Public Sector
Bias, transparency, explainability, accountability, data protection, security. A practical taxonomy of what can go wrong.
10:00 – 10:50
The UK Regulatory Framework
The government's AI regulation approach, the AI Safety Institute, sectoral regulators. What applies to your organisation today.
11:00 – 11:50
EU AI Act: What UK Public Sector Needs to Know
Risk tiers, prohibited practices, conformity requirements. Where this affects cross-border data or EU-origin tools.
12:00 – 13:00
Lunch
13:00 – 13:50
Classifying AI Risk Proportionately
Not every use case is high risk. How to apply proportionate risk classification without over-governing or under-governing.
14:00 – 14:50
Building an AI Acceptable Use Policy
What a credible AUP looks like. What it should cover. Common mistakes. Template walkthrough.
15:00 – 15:50
Data Protection & AI
DPIA requirements, lawful basis for AI processing, automated decision-making under UK GDPR. Practical guidance, not legal theory.
16:00 – 16:50
Day 2 Synthesis & Reflection
Key takeaways. Group discussion. Questions from the day.
Day 3
Strategy, Governance & Board Readiness
09:00 – 09:50
Board-Level Communication
How to present AI strategy and risk to a board. What boards want to hear. How to handle challenge and scrutiny. Preparing the narrative.
10:00 – 10:50
Building a Credible AI Strategy
Connecting AI to service outcomes and public value. What distinguishes a real strategy from a technology wishlist.
11:00 – 11:50
Prioritising AI Use Cases
Practical prioritisation frameworks. Assessing feasibility, impact, risk and readiness. Identifying quick wins vs strategic bets.
12:00 – 13:00
Lunch
13:00 – 13:50
What Good AI Governance Looks Like
Governance structures, roles, responsibilities and operating models. The difference between IT governance and AI governance.
14:00 – 14:50
The Cube8 SAGF
Six governance domains. Five maturity levels. How the framework is used to score, benchmark and improve AI governance maturity.
15:00 – 15:50
Defining Your Maturity Target
Using the SAGF to set a realistic target state. What "good" looks like for your organisation's size, sector and starting point.
16:00 – 16:50
Day 3 Synthesis & Reflection
Key takeaways. Group discussion. Questions from the day.
Day 4
Procurement, Roadmap & Action Planning
09:00 – 09:50
Procurement Fundamentals for AI
Why standard procurement approaches fail for AI. What needs to change in requirements, evaluation criteria and contract terms.
10:00 – 10:50
Building an AI Evaluation Framework
How to score suppliers on AI-specific risk, transparency, data handling, model governance and exit provisions.
11:00 – 11:50
Supplier Assurance & Post-Award Governance
Embedding governance expectations into contracts. Ongoing supplier assurance. Avoiding vendor lock-in.
12:00 – 13:00
Lunch
13:00 – 13:50
Accountability & Audit Readiness
How to ensure your AI decisions are defensible under scrutiny. Documentation, decision trails, and board-level reporting.
14:00 – 14:50
Creating a 12-Month Roadmap
Phased approach to governance, enablement and adoption. What to do in the first 90 days, 6 months and 12 months.
15:00 – 15:50
Personal Action Planning
Each attendee develops their own priority actions and next steps to take back to their organisation.
16:00 – 16:50
Programme Close
Final Q&A. Feedback. Follow-up support and next steps with Cube8.

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