Useful AI consulting services start with one question: what does this replace? When the answer is a person reading documents and typing what they find into another system, there is a clear case and a saving you can measure.
We build four things, each with a page of its own, and the opening conversation settles which one fits.
What Our AI Consulting Services Build
Retrieval over your own documents. A model that has read your contracts, policies or case history and answers with a citation back to the source paragraph. Chunking and retrieval quality decide whether it works.
Agents that call your systems. Look up an order, raise a ticket, draft a reply. The value sits in the tools, and the design question worth arguing about is which actions need human approval.
On-premise and local deployment. For data that stays inside your own network. Open models run well on a single well-specified server for summarisation, extraction and classification.
Evaluation and testing. Real questions from the people who will use the system, with agreed correct answers, scored before and after every change.
Where the problem is a table of numbers rather than documents, it is machine learning instead.
Evaluation Comes First
An evaluation set is the cheapest insurance in this field. Twenty real questions with agreed answers tell you in an afternoon what a demonstration takes six weeks to reveal.
We write that set during scoping, alongside the people who will use the system. Every change afterwards is scored against it, so improvement is a number rather than an impression.
Running Cost, Sized Before You Commit
A hosted model API behind a busy internal tool can cost more per month than the build amortised over a year. Token spend rises with usage, and usage rises with success.
We show that arithmetic at scoping, including the picture at ten times the opening volume. Where an open model on your own hardware is the better economics, our ai ml development services cover that route too.
Where AI Strategy Consulting Earns Its Fee
Our ai strategy consulting arrives attached to delivery, so the plan gets tested by shipping its first piece rather than by review.
That first piece is usually a retrieval system over one document set, scoped at three to six weeks including evaluation. Our ai development services extend it once the numbers justify the next step.
How Engagements Start
Paid scoping first, producing an evaluation set and a written view of what the system is worth. You own the code, the prompts and the evaluation data from the first commit.
After scoping, work runs fixed price against a defined deliverable or at a day rate. Book a scoping session and tell us which pile of documents costs the most time.
Good AI consulting services make the sixth week measurable, not just the demonstration.
Related Services
Where the data sits across three systems, start with data and BI. Where it has to run behind your own firewall, that is infrastructure. Where you want documents produced rather than questions answered, that is document automation.