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AI Adoption · Consulting

A Tool Nobody Uses
Is Money Wasted.

The technology is the easy part. Getting your team to use it confidently, consistently, and correctly — that's the real challenge. We embed AI into how your people actually work, not just how they're supposed to work.

Build Your Adoption Plan ← All Consulting

The adoption problem

Technology adoption doesn't fail because the technology is bad.

It fails because changing how people work is hard. Without a structured programme, even the best AI investment quietly gets abandoned.

70%
of AI tools purchased in 2024 had less than 20% active usage after 90 days
Rolling out a new tool without a change management programme is like buying gym equipment and hoping people work out. Good intentions don't override inertia.
#1
reason AI projects fail isn't the technology — it's team adoption
Teams that don't trust it, can't use it confidently, or don't see how it fits their actual day-to-day work will quietly revert to what they know. Every time.
1 day
of training creates awareness. It takes 8–12 weeks to change a habit.
A single workshop makes people aware of what's possible. Sustained adoption requires behaviour change, peer modelling, and the right cultural conditions.

What we offer

Three ways to make AI actually stick.

From a single team workshop to a full 12-week culture programme — each engagement is designed to create measurable, lasting adoption, not just awareness.

Half or full dayHands-onUp to 20 people
Adoption 01
AI Applied Workshop

A hands-on session where your team uses AI to solve real problems from their actual work — not generic exercises. Every attendee leaves with concrete workflows they can use from Monday.

How the day works
1
Morning — Baseline & Context Current AI literacy, existing tool use, team pain points, and where time is actually being lost
2
Afternoon — Live Practice Hands-on exercises using AI on your team's actual work, not hypothetical scenarios. Real problems, real outputs.
3
Outcomes Each person leaves with 3–5 specific AI workflows tailored to their role, and a 30-day action plan
Right for you if…
Your team has heard about AI but doesn't use it consistently. You want a practical introduction that creates immediate habit change, not a lecture about what might be possible.
Book a Workshop →
8–12 weeksEmbeddedMeasurable
Adoption 02
AI Culture & Adoption Programme

A full organisational adoption programme — from baseline assessment to embedded habit formation. AI becomes how your business operates, not an optional extra.

What's included
✓
Baseline assessment — tools, skills, attitudes, and blockers across your team
✓
AI champion identification and internal advocate network
✓
Department-specific AI playbooks and workflow guides
✓
Weekly group sessions and 1:1 coaching for managers
✓
Progress tracking dashboard and adoption reporting
✓
AI handbook — your organisation's go-to reference for AI use
Right for you if…
You've invested in AI tools or are about to, and you want adoption built into how your business operates — not bolted on after the fact and quietly ignored.
Design Your Programme →
Compliance-readyEU AI ActGDPR-aligned
Adoption 03
Governance & Guardrails

A comprehensive AI governance framework that lets your team use AI confidently — knowing what's permitted, what's risky, and what the rules are for your industry.

What we build for you
✓
AI Usage Policy — what's approved, what's prohibited, and why
✓
Risk classification framework for AI use cases
✓
Approved tool register with security and data handling ratings
✓
Training data governance and IP protection guidelines
✓
EU AI Act compliance mapping for your business category
✓
Board-level AI briefing document and incident response plan
Right for you if…
You need to demonstrate responsible AI use to clients, regulators, or your board — or you've had a concern raised about how AI is being used and need a governance framework fast.
Build Your Governance Framework →

A typical programme

What a 12-week adoption journey looks like.

Every programme is tailored to your team, tools, and goals — but this is the shape most engagements follow. Structured, measurable, and designed to last beyond the engagement.

Weeks 1–2
Baseline Assessment
We assess your team's current AI literacy, which tools are already in use (with and without approval), what's blocking adoption, and where the biggest skill gaps are. Honest starting point, no assumptions.
Baseline reportSkills heatmapBlocker audit
Weeks 3–4
Strategy & Champion Network
We design the adoption roadmap specific to your business and identify AI champions within each department — the internal advocates who'll reinforce the programme day-to-day and lead by example.
Adoption roadmapChampion playbook
Weeks 5–8
Learning Programme
Structured workshops, role-specific guides, and live practice sessions. We work through real use cases for each team — not generic AI content. Every session ends with immediately applicable tools and workflows.
Role-specific workshopsAI playbooksWorkflow library
Weeks 9–10
Embedding & Habit Formation
Manager coaching sessions, accountability structures, and nudge systems that make AI the path of least resistance. We shift from "here's a new tool" to "here's how we work now."
Manager coachingAI handbook
Weeks 11–12
Measure, Report & Sustain
We measure adoption against the baseline, report on outcomes, and design the next phase — whether that's maintaining momentum, expanding to new use cases, or building on early successes.
Adoption reportSustain planPhase 2 roadmap

What good looks like

Five ways we measure adoption success.

We track concrete, measurable outcomes — not engagement scores or workshop attendance. You'll know exactly how adoption is progressing and what impact it's having.

Weekly Active Usage
Target: 80%+ of relevant team
We track how many team members are actively using AI tools at least weekly — not just who has access, but who's actually using it.
Time Saved Per Person
Target: 3–5 hours/week
Time saved on tasks where AI has been integrated — measured against the baseline. Real hours, not estimates.
Output Quality Score
Target: Fewer revision cycles
Measurable reduction in errors, revision cycles, and quality issues on AI-assisted work compared to the baseline period.
AI Confidence Index
Target: 80%+ feel confident
Self-reported confidence in using AI for new, unfamiliar tasks — assessed at baseline and again at programme end.
Innovation Rate
Target: Team-led AI ideas
The number of new AI use cases proposed by the team themselves — not just assigned. This is the clearest signal of genuine cultural adoption.
Retention of Habits
Target: 90-day active usage
AI usage measured 90 days after programme end — to confirm habits have stuck and adoption hasn't quietly reversed.

Our process

Four phases. One lasting outcome.

Every adoption engagement follows the same framework — assessment, design, implementation, and measurement. No one-size-fits-all. No training days and hope for the best.

Weeks 1–2
Assess Baseline
Measure current state: tools in use, skill levels, resistance points, and where AI is already creating value (or confusion).
Weeks 3–4
Design Programme
Build a tailored adoption plan — role-specific playbooks, champion structure, and a learning path matched to your team and tools.
Weeks 5–10
Run & Reinforce
Workshops, coaching, habit formation, and weekly accountability. We stay embedded until the behaviour change is real.
Weeks 11–12
Track & Iterate
Measure adoption against baseline, report outcomes, and build the next phase — whether that's maintaining momentum or expanding scope.

Ready to make AI
actually stick?

Book a free 30-minute call. We'll assess where your team is today, what's blocking adoption, and what a realistic programme looks like for your business.

Book a Free Call ← AI Strategy