Prime Studio · AI-native transformation for gaming operators
Adding AI is a few tools and a pilot that demos well and never reaches production. Becoming AI-native changes the operating model: how work is specified, how decisions are governed, how results are measured, and who answers when a system acts on its own.
Twenty years inside one gaming operator. Two companies built in parallel — both acquired by the group.
Operator-side since 2000: payments, fraud, data, automation.
Everyone here ran these functions inside an operator before advising anyone about them.
The distinction
It is whether the company changed shape around it. One of these columns describes a procurement decision. The other describes an operating model. Only the second one survives an audit.
Where we start
Money arrives, it is protected, it is verified, and it is balanced. We start at the money chain, and the reason is not that AI is interesting there.
Routing, retries, approval rates, processor mix, settlement.
Detection, alert handling, decisioning, the cost of being wrong in either direction.
Identity, documents, risk scoring, the evidence a regulator would ask for.
Matching, breaks, write-offs, and how many days after month end the ledger closes.
Approval rate, chargebacks, hours to close, cost per contact. Nobody has to be convinced the problem exists — it is already in a report someone reads every month.
Regulatory pressure on KYC and fraud means a line is already assigned. We are not asking anyone to create a budget, only to spend an approved one better.
Payments, fraud, banking, KYC and service automation are covered twice over by people who owned them inside an operator. We do not sell the domains we merely visited.
The instrument
The same six questions asked of every domain, so the results are comparable against each other — and against the next operator we measure. Every score carries the evidence behind it. No evidence, no score.
The scale
People execute. Nothing is instrumented. The knowledge lives in someone's head.
The process is measured, but still runs at human speed.
Rules and scripts execute the defined paths. People handle the exceptions.
Models recommend. People decide, and remain accountable for the decision.
Agents execute inside controls, with human authority checkpoints, audit trails and evaluations.
The part most diagnostics leave out
L4 is not the goal everywhere.
Part of the value of the diagnostic is naming where L2 is sufficient, and where reaching for autonomy is regulatory risk dressed up as innovation. A diagnostic that recommends the maximum in every cell is not a diagnostic. It is a sales deck.
The column that decides the rest
Six dimensions get scored. Five of them are technical. The sixth decides whether the other five survive contact with the organisation.
A transformation rarely fails because the model was wrong. It fails because the person who owned the process was never told what happens to their job, and quietly made sure the new thing did not work. That is not resistance to technology. It is a rational answer to a question nobody answered.
So we score it like everything else: who owns this, what happens the day they resign, how much of the logic exists only in their head, and who is being asked to hand over the part of their work that made them valuable.
We have been on both sides of that conversation — what the system can do, and the fear of being replaced by it. A plan that only answers the first one does not get executed, however good it is.
What you receive
All twenty-four cells scored, each one with the evidence that supports it — the process observed, the data pulled, the person who confirmed it.
Every opportunity carries the metric it moves, the estimated value, the effort, the control model it requires and the proposed owner. Ranked by value over effort, not by how interesting it is.
What to do in ninety days, in six months, and in eighteen. Explicit about what not to do yet, and why waiting is the right call.
Ninety minutes with the committee. Not a PDF sent by email. The last slide is the proposal for the next engagement, with scope, price and a start date — so the decision happens in the room.
Domain interviews and data extraction. Twelve to sixteen conversations with the people who actually run the process.
Analysis and scoring, with every finding validated against the process owner before it is written down.
Synthesis, quantification of the opportunity map, and the executive readout.
Who does the work
Every person on this team ran the function they assess — through acquisitions, regulatory pressure, live money and legacy systems that could not be switched off. That is a different qualification from having read about it.
Processing, integrations, routing and fraud prevention end to end, fiat and crypto, inside a live operator.
Banking rails, identity verification, and the automation of customer service and fraud decisioning. Data and applied AI.
Process design, organisational structure, team building and talent development — who implements it after we leave.
Systems architecture, Spec-Driven Development, agentic implementation, and the synthesis that turns findings into a plan.
Twenty years inside one gaming operator, ending on its Operations Committee. Two companies built in parallel — the group acquired both. Operator-side since 2000.
Verify on LinkedIn →What comes after
Each step is contracted on the findings of the one before it. Nothing starts over, and nothing is sold before it has been measured.
Payments, fraud, KYC and reconciliation scored against the maturity model, with a prioritised opportunity map and the business case behind each item.
A sequenced twelve to twenty-four month plan tying every initiative to an operational metric, a control model and a named owner.
Production agent architectures on Spec-Driven Development, with human authority checkpoints, audit trails and evaluation harnesses.
Multi-cycle programmes for senior engineering teams, so the capability stays in the building after the engagement ends.
Continuing counsel to leadership and operating committees, at the cadence the transformation actually requires.
The brief
The brief is the actual scope document for the Money & Risk Assessment — not a teaser for it. If the method does not convince you on paper, a call will not fix that.