You see AI everywhere but struggle to see where it creates value for you. Vendors answer that question with whatever they sell. We answer it by investigating your problems, one at a time, with the people who own them, and telling you plainly which are worth solving with AI, which are worth solving without it, and which are not worth solving at all.
Who this is for
You have rolled something out, or piloted something, or been asked what the plan is, and what you need now is evidence. A delivery leader who wants a defensible case, not a demo. An organisation that suspects the constraint isn’t the tooling, and wants to know what it actually is.
How it works
Discovery is priced per problem investigated, so you can start with one and stop whenever the evidence says stop.
For each problem we work with the person who owns it (not a steering group) to establish what actually happens today: where the work waits, what the decisions cost, what knowledge the problem depends on and where that knowledge lives. The investigation produces two things:
- A prioritised, evidenced case for what to do next: solve it with AI, solve it without AI, or leave it alone. Each recommendation says why, in operating terms a sceptical CFO can interrogate.
- Structured context your organisation keeps. The documented reality of how that problem works: the material any future AI effort depends on, and the gap discovery most often exposes. It is yours whether or not anything gets built, and whoever builds next (us, your team, or nobody) starts from it instead of from scratch.
The honest “don’t”
Some problems don’t warrant AI: the evidence says fix the process, the queue, or the decision-making instead. When that is the answer, we say it. You will have paid for one problem’s investigation and received the truth about it, which is cheaper than the initiative you were about to fund.
What it costs
Per problem, fixed, agreed before work starts. No time tracking. If the engagement fails to meet the agreed standard, we refund the fee.
Where it leads
Sometimes to agentic engineering with your team. Sometimes to engineering-excellence work with no AI in it. Sometimes to “you’re done; run the guide yourselves.” All three are good outcomes.
Bring us the problem that bothers you most: start a conversation .