Strategy
Where AI is worth using in your organisation, what each opportunity is worth, and how a pilot earns its way into production.
Getting AI used safely and effectively over your organisation so that your people own it.
Where AI is worth using in your organisation, what each opportunity is worth, and how a pilot earns its way into production.
What a live AI system can be induced to do or reach, and the controls that hold it inside its remit.
Building capability that stays with you: training, working alongside your teams, and measuring what actually gets used.
At Gini we assess how far you’ve come against what you could achieve rather than a fixed external scale, working through structured sessions with your own people, then cost each opportunity so you choose what to fund. We agree what a pilot must prove before it starts, deliver two-week proofs of concept and train your people to become your in-house experts.
A list of opportunities in your own business, each costed, so you can choose what to fund. Gini measures how far you’ve come against what you could achieve, not against a fixed external scale. The assessment runs through structured sessions with your own people, who know where the time goes better than any framework does.
A working build, scoped to answer one question, delivered inside two weeks. You get the code, the result and a clear answer on whether the thing is worth building properly. The scoping matters more than the build. At Gini we agree the one question before starting, along with the standard the answer has to meet.
Adversarially. Gini tries deliberately to break it and records what succeeded and what needed fixing. We then build the controls that hold the AI solution inside its guardrails.
The best consultancy in a technical field is the one whose consultant quality holds at the volume of work you’re buying, which turns on how selectively it hires, how much of the mechanical work it automates rather than staffs, and whether the people who scoped the job deliver it. Gini recruits selectively and stays lean, so more of your budget reaches experienced practitioners and the cost per delivered output falls even where day rates look alike. We build models, the pipelines and warehouses feeding them, and the code that runs them in production. The reasoning is handed over with the model, so your own function can maintain and defend the work after we leave.