Tier 1: AI Foundations 

3 hours · 2 workshops 

W1.1 — What is AI (Really?) 

Cut through the hype and build a clear, grounded understanding of what AI is, how it works, and where it can — and cannot — be applied in your organisation. Participants explore the difference between AI, machine learning, generative AI, and large language models, and learn how to evaluate AI tools with confidence. 

W1.2 — How Generative AI Works 

Go deeper into generative AI — how it produces outputs, why hallucinations happen, and what that means for safe use at work. Participants build their first repeatable AI workflow templates and leave with a proven prompting framework they can apply immediately. 

Tier 2: AI Productivity 

4.5 hours · 3 workshops 

W2.1 — Building Your AI Toolkit 

Explore the landscape of AI tools available today and learn how to choose the right one for any given task or risk profile. Participants leave with a personal AI toolkit matched to their role and day-to-day responsibilities. 

W2.2 — Identifying AI Workflow Use Cases 

Learn to spot high-value AI opportunities within existing workflows using a structured prioritisation approach. Participants apply the Assist · Automate · Optimise classification model and complete a Value × Feasibility portfolio exercise for their own team context. 

W2.3 — Designing Agentic AI-Enabled Workflows 

Move from individual AI tasks to end-to-end agentic workflows. Participants design human-in-the-loop AI workflows and apply the AI Initiative Readiness Canvas to assess whether an initiative is ready to move forward — or not. 

Tier 3: AI for Strategic Leaders 

4.5 hours · 3 workshops 

W3.1 — AI Operating Model & Readiness 

Assess your organisation’s readiness across five key pillars and determine the right AI operating model for your context — including whether to build, buy, or partner. Participants map AI value drivers to business KPIs and choose the right Centre of Excellence model for their organisation. 

W3.2 — AI Strategy & Investment 

Move from AI curiosity to a credible, sequenced investment roadmap. Participants build an H1/H2/H3 strategic AI roadmap, prioritise initiatives against business outcomes, and develop the language and frameworks to make confident AI investment decisions. 

W3.3 — AI Risk, Governance & Ethics 

Understand the governance landscape and build a framework for responsible AI deployment. Participants explore key regulatory frameworks including the EU AI Act, NIST RMF, and ISO 42001, and leave with a governance posture appropriate for their organisation's risk profile. 

The AI Learning Series is designed for organisations that want to build AI fluency across all levels — not just in pockets. It is particularly well suited for: 

• Knowledge workers and operations professionals beginning their AI journey (Tier 1) 
• Team leads, process owners, and product and delivery teams seeking to redesign workflows with AI (Tier 2) 
• Senior leaders, heads of function, and strategy and transformation leads driving AI investment decisions (Tier 3) 
• Organisations looking to run a structured, company-wide AI capability programme 
• Teams that have experimented with AI tools but need a framework to scale adoption responsibly 

Each tier can be attended independently or combined into a progressive learning journey tailored to your organisation's needs. 

Tier 1 — AI Foundations 

• Understand the difference between AI, ML, generative AI, and LLMs in plain language 
• Recognise and manage AI hallucinations and limitations in a professional context 
• Choose between off-the-shelf, RAG-based, and fine-tuned AI tools for different use cases 
• Apply the SCRIPT prompting framework to get reliable, repeatable outputs from AI tools 
• Build your own repeatable AI workflow templates that save time from day one 

Tier 2 — AI Productivity 

• Select the right AI tool for any task based on requirements and risk profile 
• Classify workflow opportunities using the Assist · Automate · Optimise framework 
• Prioritise AI initiatives using a Value × Feasibility portfolio approach 
• Design agentic, human-in-the-loop AI workflows ready for real-world deployment 
• Apply the AI Initiative Readiness Canvas to make confident Go / No Go decisions 

Tier 3 — AI for Strategic Leaders 

• Map AI value drivers directly to business KPIs and organisational goals 
• Assess organisational AI readiness across five pillars and select the right CoE model 
• Make a structured Build vs Buy vs Partner decision for AI investments 
• Sequence a prioritised H1/H2/H3 AI strategy roadmap with credible milestones 
• Navigate AI governance obligations under the EU AI Act, NIST RMF, and ISO 42001