// how I work
The AI adoption and embedding programme
A phased way of working that takes your team from AI licences sitting unused to confident, everyday use, with the strategy, policy and governance to keep it safe.
Most AI adoption stalls for the same reason. The licences get bought, a handful of people try the tools, and everyone else carries on as before. The Human Co. runs a phased programme that fixes the human side of it: discovery to find where AI actually fits your work, a clear strategy and governance policy for how it's used across the organisation, then hands-on training so the team uses it confidently every day.
Why adoption stalls
It's rarely the technology. The tools work, and a handful of people in most organisations already use them well. The pattern that keeps repeating is the human one: Copilot rollouts stalling near 20% adoption, pilots that never spread beyond the pilot team, and licence renewals that get harder to justify each year.
The causes have names: no specific use case, no visible sponsorship, and no change to how the work actually happens. Microsoft's own film on why adoption fails covers the same ground I see inside UK teams, and it's worth a watch before you read anything else here.
How it runs
- 1
Discovery
A focused first piece of work that maps where AI will actually move the needle for your team.
- 2
Strategy and policy
A clear plan tied to your business outcomes, with the guardrails to run it safely.
- 3
Train, engage, embed
Workflows, capability, and the change craft, built with your people, not from a slide deck. The hand-off is the point: your team runs without me.
What it costs
Every engagement starts with Discovery: fixed scope, fixed price, so you know exactly what you're committing to before anything bigger. The full programme is scoped per engagement, because no two teams start from the same place. I've written an honest breakdown of how the pricing works and what to look for when you compare providers.
AI strategy and governance
Discovery produces more than a training plan. It produces the strategy and governance policy for how your whole organisation uses AI: what's allowed, where sensitive data can and can't go, and who owns the calls. Strategy, policy and governance only hold when the organisation owns them, not when they sit in a document on a shared drive, so we build them around how your team actually works.
// the reading room
Do the homework without talking to anyone
Everything below is free to read and picked for decision-makers. Start with the question you're actually asking.
Is your organisation ready?
Readiness has almost nothing to do with how many licences you've bought.
- ESSAY
Is Your Organisation Ready for AI?
Readiness isn't a licence count. A founder's honest take on the three things that actually predict whether AI adoption sticks, before you spend a penny.
4 min → - ANALYSIS
Why Microsoft Copilot Rollouts Stall at 20% Adoption
Microsoft Copilot rollouts keep stalling near 20% adoption. The pattern is predictable, and it is not the tech: the missing piece is the adoption system around the tool.
4 min →
// the five-minute version
The AI readiness diagnostic
A live conversation, not a form. Answer a few questions about your organisation and get a tailored read on where adoption is actually stuck.
Run the diagnostic →What would the plan look like?
The thinking the programme is built on, in three pieces.
- ANALYSIS
What It Takes to Build AI Capability in an Organisation
Training programmes alone don't build AI capability. The research points to the same answer: it's an organisational design problem, not a skills one.
7 min → - ANALYSIS
5 Organisational Competencies That Change How AI Gets Used
If AI capability is a design problem, what are you designing? Five organisational competencies that determine whether AI fluency compounds or concentrates.
8 min → - ANALYSIS
How to Write an AI Strategy That Actually Gets Used
What an AI strategy document actually contains, section by section, and how the working version differs from the vision slide that gets filed and forgotten.
5 min →
How do you keep it safe?
Governance, policy, and the risks that actually turn up in practice.
- SKILL-GUIDE
AI Governance and Policy for UK SMEs
A practical AI usage policy for UK small businesses: acceptable use, data classification, risk-tiering, and what UK regulators actually expect.
5 min → - SKILL-GUIDE
Your employees are already vibe coding. Now what?
Your staff are shipping live apps without IT knowing. Security specialist Kit Barker explains what organisations should do before the blast radius expands.
9 min → - POST-MORTEM
10 Real-Life AI Horror Stories That Actually Happened
From a fabricated government report, ten real AI failures that happened in 2025, each revealing the same pattern: deploy first, ask questions later.
6 min →
What does good help look like?
The money question and the provider question, answered without the sales gloss.
- ANALYSIS
How Much Does AI Training and Embedding Cost?
The honest answer on AI adoption pricing: what's fixed, what's scoped per engagement, and what to look for when you compare providers.
4 min → - SKILL-GUIDE
How to Choose an AI Training Provider for Your Business
A buyer's guide to choosing an AI training or consulting provider: the questions to ask, red flags to watch for, and what a good engagement looks like.
4 min →
What can your team use today, free?
Courses and tools I give away. Useful on their own, and a fair preview of how I teach.
- COURSE
AI Fluency: a working course for managers and team leaders
A practical, video-led walk through Anthropic's AI Fluency framework, the four D's, with my take on what each one means for a team that has to use this on Monday.
68 min → - COURSE
AI Agents: a beginner's course for managers and team leaders
A short, free course on AI agents and agentic AI for managers and team leaders: the clearest beginner explainers from IBM, with my notes on what each one means at work.
81 min → - PROMPT-PACK
The AI Prompt Pack for Managers
60 ready-to-use AI prompts for managers, across the six jobs that fill the week: performance, planning, communication, decisions, projects and stakeholders.
open ↗ - PROMPT-PACK
The Small Business AI Prompt Pack
Over 80 practical AI prompts for small business owners, covering the nine areas that eat your week: hiring, onboarding, operations, marketing and admin.
open ↗
// proof
What it looks like when it lands
- CASE-STUDY
Silver Cross: a career copilot for Learning at Work Week
How I turned a generic Learn Copilot session for Silver Cross into a hands-on hour where every person built their own AI career development plan.
open ↗ - DEEP-DIVE
What Anthropic's 235,000-user AI study means for your rollout
A detailed read of Anthropic's study of 235,000 Claude Code users, turned into concrete steps for a CEO: what to spend on, how to scale it, how to keep it safe.
7 min →
Most of my work is under NDA, so I don't name clients.
- A scaling multi-site business: onboarding load per new hire cut by roughly 90%.
- An established mid-market team: shadow AI consolidated into one governed, confident toolset.
FAQ
How long does the programme take?
Discovery runs about two weeks. The full programme typically runs around eleven weeks from kick-off to handover, and the handover is the point: your team runs it without me afterwards.
What does it cost?
Discovery is fixed scope and fixed price, so the first step never carries an open-ended commitment. The full programme is scoped per engagement, because the work depends on where your team is starting from. The cost guide on this page gives the honest breakdown of how the pricing works.
Who is the programme for?
UK small and mid-market organisations where the AI licences or pilots exist but everyday use hasn't followed. You don't need a technical team, and you don't need to have picked your tools yet.
What do we get from Discovery?
A map of where AI will actually pay off in your work, plus the strategy and governance policy for how your organisation uses it: what's allowed, where sensitive data can and can't go, and who owns the calls. It stands on its own whether or not we go further together.
Do you cover AI governance and policy?
Yes, as a strand of Discovery rather than an add-on: approved tools, data rules, risk-tiering, and what UK regulators actually expect. The governance guide on this page shows the approach in full.
Do we need to be ready before we start?
No. Working out where you stand is the first job of Discovery, not a prerequisite. For a quick read now, the readiness essay on this page covers the three things that predict success, and the diagnostic gives you a tailored view in about five minutes.
// next step
Start the conversation
The easiest first step is an email. Tell me where your team is with AI, in as few words as you like. It comes straight to me, and I answer every one.
Prefer to talk it through? Book a Discovery call and pick a time that suits.