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Workshop one · Half a day

Harnessing AI

Your leadership leaves speaking one language, clear on what AI is, what it is good at and where it quietly gets things wrong.

This is where everyone starts and nobody skips it. You do the work in the room, testing the tools and building with them, and you leave knowing what to build first, who owns it and where the risk sits. It is fast, and the learning is faster than people expect.

Why now

Your people already use AI. They are just not telling you.

Three quarters of knowledge workers already use AI, and around half of them hide it from their managers. Work is being drafted, code is being written and data is leaving your business without anyone owning it. The question is no longer whether to adopt AI. It is whether you lead it or lag behind it.

The day

Four parts, all hands on

No slides to sit through. Your leadership builds, tests and decides together, and leaves with a shared way of working.

Part one

Context

What AI actually is, where it came from and the types of AI that matter. The hype set against the operating reality, so you can tell the signal from the noise.

Part two

The art of the possible

Directing the machines, not playing with toys. The tools that matter for thinking, building and creating, used with clear judgement rather than clever prompts.

Part three

Ownership

Why AI without governance becomes debt. What AI can be in your business and what it must never be, and who actually owns the decisions.

Part four

Putting it to work

What this means for you, and the one thing each leader commits to start and to stop before they leave the room.

AI is a brilliant intern, not a wise colleague.

You do the work

Three exercises, real outputs

1

Test the limits

Build a brand and an ad with the tools, then pull apart what was good, what was generic and what was wrong, and where your judgement mattered.

2

Create an ad

Turn your script into a production-ready prompt and a finished concept, and decide what would need to change before a client ever saw it.

3

Define your AI principles

The guardrails, the data that is never allowed in the tools and the decisions AI can never make on your behalf.

Walk away with

What your team leaves holding

One shared language across the whole leadership team
Your own AI principles and the guardrails that sit under them
A clear view of what to build first, who owns it and where the risk sits
Your own working AI agent to keep using after the room empties
Length
Half a day
Where
London
Who
Your leadership team
Format
Hands on
Who runs it
Dan Ilett

Dan Ilett chairs the City CIO Club in London and writes The Executive Summary, a newsletter read by FTSE 350 leaders. As a behavioural futurist he writes and speaks on how AI is reshaping demand, and what makes people act, buy and change.

He led transformation programmes inside Virgin Money and Thomas Cook, and has advised teams at IBM, Google, Microsoft, Cisco, Cognizant and Equinix. He came up through journalism, writing for the Financial Times, and was founding editor of CoinDesk.

Get your leadership AI ready

Half a day. One company in the room. Book a time and tell me where your team is right now.

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