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AI Capabilities, Limitations & Use Cases
Beginner to Intermediate3-4 hoursTask-to-AI fit judgment + reference materials

What AI is genuinely good at, where it will let you down, and how to match the right task to the right tool. The judgment you need before you touch a prompt.

...point What AI does well — the 7 strengths Where AI fails — the 5 limitations Hallucination — the one that causes real harm Matching task to tool — the three zones What this looks like in your actual job The rule...

Half DayIntensive
Beginner FriendlyNo math required
AI Use Case Discovery & Prioritization
Beginner to Intermediate4-5 hoursAI use case portfolio + prioritisation matrix + pilot shortlist

The hardest AI question is often not how to build, but what to build first. Learn how to find real use cases, assess fit, sequence experiments, and avoid expensive distractions.

...Navigation Before we start — why good AI ideas are rare Why most idea lists fail What makes a strong AI use case The task-fit test The prioritisation matrix Quick wins vs strategic bets Portfolio balance From...

1 DayWorkshop
Portfolio DesignPractical
AI in the Workplace
Beginner to Intermediate3-4 hoursPersonal AI workflow map + role-specific use case library

Applying AI in real work contexts — across roles, tasks, and teams. Move from knowing what AI is to using it every day, without hype, without fear, and without wasting time on the wrong things.

...disappointment I see often in organisations that have rolled out AI tools without a framework. Someone uses AI for the first time, gets a surprisingly good draft of something, and stops checking. Then a month...

Half DayIntensive
Beginner FriendlyNo math required
Responsible AI — Ethics, Risk & Governance
Beginner to Intermediate4-5 hoursAI risk map + personal responsibility checklist + governance starter framework

Using AI responsibly — covering ethics, bias, hallucination risk, data privacy, accountability, and organisational governance. The judgment to use AI fairly, safely, and in a way you can defend.

...of the last time you accepted an AI output without questioning it. Why did you trust it? Was it because it sounded confident? Because it was formatted well? Because you were in a hurry? Now ask: would...

1 DayIntensive
Beginner FriendlyNo legal background required
Application & Technology Landscape
All levels — SA, EA, TS4-5 hoursApplication landscape register + technology heat map + dependency matrix

How to build, read, and use the full picture of what an organisation runs — every application, platform, integration, and technology — and how they depend on each other.

...creates specific, predictable problems: Duplication — three teams build three analytics platforms because nobody knew the others existed. Hidden dependencies — decommission a "minor" system and discover...

1 dayIntensive
PracticalLandscape exercise
The Enterprise AI Operating Model: From Experimentation to Institutional Capability
The Enterprise AI Operating Model: From Experimentation to Institutional Capability

A structured executive guide explaining how to move from AI experimentation to an Enterprise AI Operating Model with governance, autonomy control, and cost discipline.

...Problem: AI Without an Operating Model Most organizations are experimenting with AI. Different teams: Use different models Build separate agents Integrate tools independently Run pilots without cross-review...

From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy
From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy

A clear executive guide explaining Generative AI, AI Agents, and Agentic AI using a corporate office analogy to prevent autonomy risks in enterprise AI.

...“We need Generative AI.” “Let’s build an AI Agent.” “Can we deploy Agentic AI?” These terms are often used interchangeably. They are not the same. The difference is not intelligence. The difference is authority...

Batch vs Real-Time Is the Wrong Debate.
Batch vs Real-Time Is the Wrong Debate.

Organisations debate batch versus real-time as if it is a technical preference. It is not. It is a structural mismatch between data freshness and decision cadence — and the mismatch is where the cost lives.

...the business decision it feeds happens once a week in a planning meeting. The freshness is not being used. The cost is real. The complexity is real. The operational burden is real. And none of it is producing...

Investment & Prioritisation
Advanced (EA, TS)5-6 hoursInvestment prioritisation model + business case guide (including TCO and unit economics) + sequencing criteria

How to decide which technology initiatives get funded, in what order, and why — connecting architecture to financial decisions and business outcomes.

...Investment prioritisation connects architecture to financial decisions and business outcomes. Business cases must connect investment to outcomes leadership cares about — not just to technical goals. Sequencing...

1 DayIntensive
StrategicEA · TS
AI Policy, Security & Organisational Controls
Beginner to Intermediate4-5 hoursAI policy checklist + security controls map + incident response starter template

Building and enforcing AI policy — the practical mechanisms that turn ethical principles into enforceable organisational rules. Data security, access controls, audit trails, and incident response.

...tools are approved. Sensitive data has been pasted into consumer AI tools. No one can say which AI use cases are active in the business. Try it yourself — The enforcement gap audit Answer these three...

1 DayIntensive
Beginner FriendlyNo legal background required