We give each department one page: what to use AI for, what never to, and exactly how. And we write the policy that permits it.
It is that they have too much of it, none of it about their job, and no permission to act on any of it.
People leave knowing what AI is. They still do not know what to do with it on Monday, in their own role, with their own files.
Around 7.5% of employees report having received substantial AI training — while heavy users report more burnout, not less.
A blanket prohibition makes necessary work non-compliant. So the work happens anyway, unsupervised, on personal accounts.
Roughly two-thirds of professionals have used AI at work believing it was not permitted. About a third of organisations have any AI policy at all.
Every new assistant adds a login, a habit and a decision. Past a certain point, adding tools makes teams slower.
Productivity rises from one AI tool to two, slows at three, and declines beyond that (BCG / UC Riverside, 2026).
Buy one, or buy a package. Every engagement is fixed-price and fixed-scope, agreed before we start.
“Where do we actually stand, and what do we fix first?”
A scored report across ten dimensions with a ranked 90-day priority list, mapped to ISO/IEC 42001, the NIST AI Risk Management Framework and EU AI Act Article 4.
“What are our people allowed to do, and how?”
A board-ready policy that starts with permissions, not prohibitions: permitted uses by role, red lines, a data classification table, disclosure rules, an escalation path and an approved tool list.
“What do I do with AI in my job, on Monday?”
One organisation-wide session, then a 90-minute lab per department built on that team's real tasks. Each lab ends with that team's one-page cheatsheet.
“How do we stop this decaying in six months?”
Monthly office hours, cheatsheet updates as the tools change, coaching for your internal champions, and a re-score at six months.
Delegation, Description, Discernment and Diligence — the AI Fluency framework published by Anthropic with Rick Dakan and Joseph Feller. It is public, so you can check our method against it.
What to hand to AI, what to keep human, and who decides.
How to ask, with your organisation's context already in the request.
How to check an output before anyone relies on it.
What to log, what to disclose, and who owns the result.
They are the four axes of your assessment score, the four sections of every team's cheatsheet, the four clause groups of your policy and the four modules of every session. One vocabulary, so the diagnosis, the training and the rules all say the same thing.
Twenty-eight questions across the four competencies. You get a score, a breakdown by dimension, and a ranked list of what to fix first. No call required.
One page per department: five tasks to hand over, three never to, the prompt patterns that work on their files, the checks before anything leaves the building, and what has to be logged.
We sell no licences and take no partner commissions. If the free tier is enough for your team, we will tell you so.
We work from the 4D AI Fluency framework and map our diagnostics to recognised standards. Both are public. You can audit the method.
Every team leaves with a single page built from their own tasks and cleared against your own policy. Less to read, not more.
Donor reporting, beneficiary data, safeguarding, disclosure to funders, DPIA. Not corporate training with the word “nonprofit” pasted on.
No pitch team, no handover to a junior after signature. How engagements run.
The assessment, the policy and the attendance record form the file a donor, an auditor or a regulator asks to see.
Or that you do not need us yet. We will tell you that too.