AI adoption and training

Leaders first • Every team on its own work • Measured before and after

We train your teams
to adopt AI.
Across the whole organisation.

Leaders first, then every team, on their own work in the tools you already pay for. We find out where you really are before we start and measure what changed after. 150+ large organisations trained.

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150+

Large organisations trained

4.5/5

Average training score

+28%

AI understanding in one month

42% → 87%

Confident using AI, surveys before and after the sessions

From our work with large organisations in finance, technology, retail and electronics, across the UK and the GCC.

The problem

Why most AI training
doesn't stick

People go through the programme, then go back to working how they always did. Here's why, and what we do about it.

Leaders can't role model what they haven't used

Leaders who have used AI on their own workflow can judge where it helps. Teams copy what they see their leaders do, so the senior team goes first.

What we do: we train leaders before their teams. They use AI hands-on on their own work, so they can lead the change with confidence.

Roles need clear AI targets

Every role needs something different from AI. Without a clear target for each role, the training stays generic and people go back to how they worked before.

What we do: we agree with managers what AI should change in each role, then train people hands-on, on their own work.

Adoption is a change problem

Buying the tool and running a demo leaves the work exactly where it was. Someone has to decide which tasks move and who owns them, and set the rule for company data. That has to be run like any other change.

What we do: we show leaders what we found in their teams, then agree which work changes first, who owns it and the rules for using data.

Capability fades without something to keep it going

After the programme, people drift back unless something keeps them practising: champions with a real remit and follow-up sessions where they bring their homework and their questions.

What we do: we set up AI champions in each team and run follow-up sessions where people bring their questions. Then we measure again to show what changed.

Our test: two weeks later, is there a task your team now does differently? Awareness fades. Capability compounds.

Diagnose. Enable. Embed. Senior team first → Every team → Measured

How it works

Diagnose. Enable. Embed.

One capability system, senior team first. Insight before content, real work in every session, infrastructure so it holds.

Typical timing

Week 1Week 4Week 7Week 10Ongoing

Diagnose1 to 3 weeks · Survey + playback

Survey + playback

Enable4 to 6 weeks · Leaders first, then every team

Leaders first, then every team

EmbedOngoing · Champions + AMAs

Champions + AMAs

Diagnose takes one to three weeks and Enable four to six. Embed keeps going, with a re-measure on the same questions at the end.

01 · Diagnose

Find out how your people actually work with AI

A short survey of everyone, voice agent interviews across the teams, and interviews with your leaders. Then we play the findings back to your leaders: where AI is already used unofficially, where confidence sits, and what the gaps really are.

Team survey and competency baseline
Voice agent interviews, 5 to 10 minutes each, anonymous
Leadership interviews
Findings Playback to leaders
Use-case intake: staff submit an AI opportunity, scored on impact, complexity and data readiness before leaders prioritise it

02 · Enable

Hands-on sessions on real work, leaders first

Sessions built role by role and craft by craft, on real briefs, tone and tools. Your leaders train on their own workflows first so they can role model the change, then it goes out to every team. People work on the tasks they did last week and leave with something finished.

Leadership session on their own workflows
Team sessions by role, on last week's tasks
The tools you already pay for, on your own documents
Homework between sessions
AMAs: homework review, questions from practice, building the habit

03 · Embed

Make it permanent

Champions with a real remit, working assistants built with the team, and leadership reviews of what has actually changed. At the end we re-run the baseline with the same questions, so your leaders see the before and after on one page.

Champions network with a real remit
Tools built with the people who will use them
AMAs and adoption reviews with leaders
Re-measure with the same questions

Get in touch to discuss change leadership, AI adoption and training Contact us →

150+

organisations trained

People from these organisations have trained with us, on their own work, in sessions run by the people who build AI systems for a living.

Proof, not promises

What changed, by client.

Major UK retailer

AI understanding up 28% in one month.

Their key creative and production team, trained hands-on on real briefs, then tools built with the team in the follow-up AMA.

Read case study

Internal comms leaders at global brands

96% rated it 4 or 5.

Comms leaders from GSK, Visa, the Bank of England and more, in live cohorts run with the UK's professional body for internal communication. Each webinar followed by an Ask Me Anything.

Read case study

GCC financial regulator

An AI change and competency framework for every role.

Aligned to the national digital skills framework, with a training programme mapped to it.

Read case study

UK digital agency

AI training and adoption at an award-winning digital agency.

Alignment, use case discovery, then hands-on training for dev, sales and marketing. The agency now offers AI services to its own clients.

Read case study

Global electronics brand

87% confident using AI after the sessions.

Interviews across the UK teams, a champions workshop and a charter we helped shape, then AI 101 with a practical assessment and divisional training days.

Read case study

What clients said

In their own words.

“

They took the time beforehand to understand where the team was and our specific requirements, delivering tailored training based on our existing enterprise contracts. I was impressed with the research and pre planning that went into building bespoke and effective training sessions, along with their flexibility and adaptability on the day to ensure everyone got the most out of it.

Head of Creative Content, major UK retailer

“

Mind blown and very excited about how AI can support communication within my business.

Senior comms leader, global high-performance materials manufacturer

“

Clarified and accelerated our plan for embracing AI. We're incorporating these into our workflows.

Founder, UK digital agency

AI training and adoption: common questions

AI adoption is people using AI in their everyday work, not just having access to it. Buying licences is the easy part. Adoption is when a team has changed how it does real tasks, and you can see it in what they produce and how long it takes. Most organisations are further behind than they think: at one GCC financial regulator, 94% of staff were already using AI, but only 38% felt confident doing it.

Usually it isn't the tool. People haven't been shown what AI should do in their job, they aren't sure what they're allowed to put into it, and they don't see their leaders using it. Some worry it's a step towards cutting their role. A one-off launch session doesn't fix any of that. Clear goals for each role, training on their own work, and leaders going first does.

Their real work, in the tools you already pay for. What AI does well and where it gets things wrong, how to check its output, what data they can and can't use, and hands-on practice on tasks from their own week. Then follow-up sessions where they bring what they tried and what didn't work. Generic prompt tips don't stick. Training built on their own work does: across our sessions, comms leaders from 91 organisations rated it 4.5 out of 5.

AI literacy means people understand what AI can and can't do, the risks, and how to use it sensibly in their role. Article 4 of the EU AI Act asks organisations that use AI to take measures to support the development of their staff's AI literacy, so if your business operates in the EU it's worth having a plan. Either way, it's the base everything else builds on.

Ask the same questions before and after: how well people understand AI, how confident they feel, which tasks they now do differently, and who wants to help lead it. Usage data from your tools helps, but it doesn't tell you whether the work got better. One UK retailer's creative team went from 2.7 to 3.5 out of 5 on understanding in one month, and the share who wanted a seat on their AI steering group went from 36% to 83%.

Getting AI used is a change problem, so it needs leadership, not just a training plan. Leaders agree who owns AI, which work changes first and the rules people need. They use it on their own work first, so they can lead it with confidence. Then every team is trained, champions keep it going, and you measure what changed.

You need clear, simple rules: which tools are approved, what data can and can't go into them, and who checks the output. Most organisations have something, but staff often don't know it exists. We build those rules into the training, so people learn what's allowed while they practise.

Yes. We train on whatever you already pay for, whether that's Microsoft Copilot, Gemini, ChatGPT or Claude. Every session runs in your own tools on your own documents, so what people learn on the day is what they use on Monday.

It depends on how many people and teams are involved, and whether you want training only or a full programme with leaders, champions and a re-measure. We quote a fixed price after a short call, so you know the cost before anything starts. Book a call →

Large organisations getting AI used across the business, in finance, technology, retail, electronics and the public sector, across the UK and the GCC. We usually work with the CHRO and the people and L&D teams, alongside the senior leadership team, IT and every other function: operations, marketing, finance and the rest. 150+ large organisations have trained with us.

Yes, most clients do. A half day with the senior team or a day with one team, then expand once the change is visible.

Book a short call. Tell us where you are with AI, which teams you want to start with and who needs to be involved. We'll come back with where to start, how long it takes and a fixed price. Book a call →

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We train your teams
to adopt AI.
Across the whole organisation.

Why most AI training
doesn't stick