AI Solutions
An AI feature is only useful where a decision is being made. We find the decision, measure how it is made today, and put the model in that spot — with the baseline written down so improvement is a fact rather than an impression.
What this covers
Use case selection
Which decisions are worth automating, judged against a measured baseline.
Document extraction
Fields pulled from invoices, forms and contracts with confidence scores.
Assistants
Answers drawn from your own material, with citations back to the source.
Scoring and triage
Ranking work so the queue is ordered by something better than arrival time.
Human review
The path for low confidence, designed rather than bolted on.
Monitoring
Accuracy and drift watched after launch, because that is when it matters.
Who this is for
Operations
High-volume decisions made the same way many times a day.
Customer service
Where answer quality and response time are both under pressure.
Finance
Document-heavy processes with a hard accuracy requirement.
Product teams
Features that need to ship with an evaluation, not a demo.
How we work
People who have done it before
Teams that have worked in this setting, not a generic squad reading the brief for the first time.
One team, start to finish
The people who design it are the people who build it and the people who answer for it afterwards.
Working software early
Something running in weeks, so the direction is judged against a real thing rather than a document.
Bought once, owned by you
What you keep at the end
The code, the documentation and the accounts are yours throughout. Nothing here depends on us staying, and any arrangement that continues does so because it is worth continuing.
Talk to us
What we promise
- A named team you can reach, not an account manager relaying questions
- A working version early, and every fortnight after that
- Written estimates with the assumptions and the risks stated
- Your code, your data and your accounts, yours throughout
- A direct answer when something is late or will not work
How it runs
Scope
What the solution has to do, what it must integrate with, and what is deliberately out.
Pilot
A working configuration with one team or one process, measured against how it works today.
Roll out
Extended in stages, each with a way back if it does not hold.
Improve
Measured after launch and changed on evidence, which is when most of the value arrives.
Common questions
No. Where a third-party model is used, it is used under terms that exclude training on your data, and that is checked rather than assumed.
It will sometimes be. The design question is what happens then — which is why review paths and confidence thresholds are part of the build.
Against the baseline measured before launch. Without one there is no honest answer.
Often yes, and that is worth deciding early because it shapes the model choice.
Would this work here?
A short conversation is usually enough to tell whether this fits your situation. If it does not, we will say so.
Get in touch