The Method · Five phases
Keeping AI on track and in production.
We were working in AI well before it became generative, and we'll be here after the novelty wears off. From pilots to full enterprise roll-outs, we've seen what works and what doesn't. This is what we distilled it into.
Phases one to five
The order is the point. Nothing here is optional.
Phase one
Problem framing
We work alongside your team to understand the business problem in your language. Your domain expertise shapes the problem definition — because correct AI starts with framing the question.
You end up holding
A problem statement in your words, agreed by the people who own the outcome.
Phase two
Data and feasibility
We identify the data available within your organisation. We then give an honest assessment of whether it is sufficient to address the problem — which sometimes means telling you it is not.
You end up holding
A written read on whether the data you have can answer the question you asked.
Phase three
Success criteria
We define success together. “Good enough” is set by the market, not by a statistical metric. Realistic criteria are agreed before a single line of code is written.
You end up holding
One number, the threshold it has to clear, and who signed it off.
Phase four
The AI buildout
We frame the technical approach to match the problem, not the other way around. Models are built to be integrated into your systems, with observability, cost and correctness as first principles.
You end up holding
A model running inside your systems, with its cost and its correctness both visible.
Phase five
Keeping AI in the 5% Club
Our models encode the domain knowledge of your experts. We make sure they stay that way, with monitoring, observability and post-deployment support — because the failure mode is a quiet one.
You end up holding
Monitoring that tells you when it stops being true, and someone to call when it does.
Start at phase one.
Scoped in a week, first version live inside a quarter. If you have already built something and it isn't doing what you need, tell us that in the first line and we'll start from where you are.