AI Adoption and Enablement
AI adoption that can answer the questions your board will ask
We help you decide where AI is worth using, prove it against real success criteria, and govern it before it reaches production.
Most organisations are not short of AI enthusiasm. They are short of a defensible position — a pilot in one business unit, a vendor demonstration that impressed a committee, a policy nobody has written, and a growing suspicion that someone will eventually ask a hard question.
The work divides into three stages, and you can stop at the end of any of them. We would rather run a short assessment that concludes "not yet" than a long program that concludes nothing.
Failure modes
What usually goes wrong
We name the failure mode before we name the fix.
A pilot with no success criteria
An impressive demonstration that cannot be evaluated, so it can neither be scaled nor honestly killed.
The data estate was never ready
Unclassified, untraceable, ungoverned data underneath a model that is expected to produce answers someone will rely on.
No answer to the accountability question
Nobody can say who is responsible for an output, what it was based on, or how a decision would be reviewed if it were challenged.
AI governed as a side project
Its own funding, its own reporting line and no scrutiny — until it has to enter a release train or pass a change advisory board.
Scope
Decide, prove, then scale
Decide
AI readiness assessment, use case triage against value and risk, and a written position on what is worth doing, what is not, and what the estate has to change first.
Prove
A governed pilot with success criteria agreed before it starts, human review points designed in, and an evaluation that can honestly conclude no.
Govern and scale
Responsible AI controls, tool inventory, disclosure position, and adoption planned and funded inside the delivery cadence you already run.
Products
Packaged versions of this work
Where the answer is a defined package rather than an open engagement, we have built one.
Sovereign AI Appliance
A compact, air-gapped device running domain-tuned models on-premise — no network egress, no cloud dependency, no data leaving the room.
What is in it → In developmentTGA Compliance Agent
A specialised AI agent running inside your organisation, continuously checking documentation, labelling, advertising and record-keeping against Therapeutic Goods Administration requirements.
What is in it →Partner
The build side of this service is Greenix Digital
Where the work is building rather than assuring, it happens under Greenix Digital. Aratu answers whether a program will hold up. Greenix answers whether a thing can be built. Joint work is proposed under both names, with one accountable individual for each part.
Questions
Asked before an engagement starts
Do you build the AI, or only advise on it?
Both, through two names. Assessment, governance and adoption sit with Aratu. Engineering and product build sit with Greenix Digital. We tell you which one you are buying.
Can you work with our existing AI tools?
Usually. Most engagements start with organisations that already adopted tools before writing anything down, and the first task is an inventory rather than a purchase.
Will you quote a productivity figure?
Not one we have not measured. We use AI in our own delivery daily and a named human remains accountable for everything that leaves here, but we do not publish numbers we cannot show the working for.
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Start with a scoping call
A short conversation about what is likely to go wrong and whether we are the right firm for it. You get an honest read on fit and a realistic start date. If the work sits outside what we do, we will say so.