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Service · AI Enablement

The tools are easy. The adoption is hard.

KreativeHub runs AI training for business teams that need adoption, not awareness. We train your people on their real work, write the AI usage policy your legal team can sign, and embed champions in every team so daily use survives past launch week. Built for medium and enterprise organisations.

demand-index.livesnapshot
+78%Y/Y client growth
3.4×Median ROAS · paid
98%Retention · cumulative
−34%CPL · B2B engagements
LIVE

Measured in pipeline, not pageviews. Senior operators only. Five clients per quarter, capped on purpose.

— studio note
Frame · Notes

A tool nobody uses is a budget line, not a capability

Most AI projects do not fail because the model is wrong. They fail because people try it once, hit a wall, and quietly go back to the old way of working. The licence keeps renewing. The usage does not.

Adoption is a behaviour problem, and behaviour does not change because you sent a launch email. It changes when people learn AI on the work they already do, when legal and security have signed off on what is allowed, when there is someone in their own team to ask, and when leadership can see who is actually using what.

That is the work we do. We run the workshops, write the policy, build the prompt libraries and stand up the champions network, then report adoption against a baseline every month. This is the change management half of AI Enablement; the tools and models are only worth what your people get out of them. Start with a free AI audit.

Frame · Manifesto · 3 positions
// the position

What adoption actually requires

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Workshops on your work, not generic prompting

We do not run a slide deck on prompt engineering. We run sessions on the tasks your teams do every day: the meeting notes, the code reviews, the customer emails, the board pack, the contract redlines. People leave able to use AI on the work in front of them that afternoon, which is the only training that survives the week.

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Policy your legal team can sign

The biggest blocker to AI rollout is rarely the technology. It is the unanswered questions. What data can go into a tool? What cannot? Who approves a new use case? We write the AI usage policy and governance your legal, security and compliance teams need to feel comfortable, so adoption is not stuck waiting on a risk review that never closes.

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Champions and metrics that keep it alive

Adoption fades when the consultants leave. We identify a champion inside each team, equip them to support their peers, and instrument usage so leadership can see exactly where AI is sticking and where it has stalled. You manage AI capability the way you manage any other capability: against numbers, not anecdotes.

Frame · Capabilities · 6 pillars
// capabilities

The human side of AI adoption

The work that turns licences into a capability your teams actually use.

See how training fits the wider AI Enablement work
  • 01

    Role-based workshops

  • 02

    AI usage policy drafting

  • 03

    Champions programme

  • 04

    Adoption dashboards

  • 05

    Prompt libraries

  • 06

    Ongoing adoption coaching

Frame · Method · 4-phase flow
// a repeatable rhythm

How we run an adoption programme

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01. Assess

We benchmark how your teams work today and where they already touch AI. We find the tasks where AI saves real hours, and the places where governance gaps or fear are quietly killing usage, then set the baseline we will measure against.

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02. Train

Role-based workshops, hands-on with your team's real workflows. Sales, operations, finance, HR and legal each get sessions built for their work, not a single generic course aimed at engineers who never needed it.

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03. Embed

We name and equip champions in each team, write the AI usage policy your legal and security teams can sign, and build the prompt libraries that make good output repeatable rather than dependent on one power user.

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04. Measure

We report adoption every month: who is using what, the hours saved against the baseline, and the teams where AI has stalled. Where adoption is stuck, we go back in and fix the cause rather than send another reminder.

Frame · FAQ · 7 questions
// honest answers

AI training questions, answered

Every question we get asked on first calls. Answered in writing — decide before you book.

You should see measurable lift in usage within 30 days and durable habits by 90. The early weeks are about workshops and quick wins on real tasks. The later weeks are about the champions network and policy that let adoption run without us. We report against a baseline the whole way, so you can see whether it is actually holding.
Yes, and that is most of the work. Sales, operations, finance, HR and legal all benefit from AI, but they will not get there from training aimed at engineers. We build sessions around their real tasks: proposals, reporting, contract reviews, customer responses, so the value is obvious from the first session.
Yes. We draft the AI usage and governance policy your legal, security and compliance teams need to sign off on, covering what data can go into which tools, who approves new use cases, and how usage is monitored. Clear rules remove the fear and the guesswork that stall most rollouts, so people use AI confidently rather than quietly or not at all.
We baseline before we start: how teams spend time on the target work, current usage, and output. Then we instrument the tools and report monthly on who is using what, hours saved, and adoption rate by team. AI training for business only pays back if people keep using the tools, so we manage it against numbers rather than a one-off launch.
A champion is someone inside a team, not on our staff, who becomes the go-to person for AI in their area. We identify them, train them deeper than their peers, and give them prompt libraries and support so they can answer day-to-day questions. It is how adoption outlives our engagement instead of fading once the workshops finish.
Usually because the rollout stops at a launch email and a licence. People try the tool once, get a mediocre result on an unfamiliar task, and go back to the old way. Real adoption needs training on their actual work, a policy that removes the fear, someone to ask, and visible metrics. The model is rarely the problem; the change management is.
No. If you have already rolled out Claude, Copilot or another tool and adoption has stalled, we can come in and fix that directly. If you are earlier, we pair this with the tool and model selection in our wider AI Enablement work so training and rollout move together rather than in the wrong order.
Send the studio a brief
Frame · Apply · new file
apply · q2-2603/05 open
Three slots remain · Q2 ’26

Make AI part of how your team actually works

Tell us where AI should be saving hours and where adoption has stalled, and we will show you the workshops, policy and champions plan that get usage up, with adoption reported against a baseline. Medium and enterprise teams only; no fixed packages.

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AI Training for Business | KreativeHub