Custom AI Solutions

Custom AI Solutions — Useful, Scoped, and Actually Deployed

One clear job, done reliably — not a demo that impresses and then rots.

Most AI projects fail the same way: they start with the technology instead of a job to be done, produce an impressive demo, and never make it into daily use. We work backwards from a task that currently costs you time and has a measurable outcome.

That usually means something narrow and genuinely useful: answering the twenty questions customers ask most, pulling structured data out of PDFs and emails, drafting first-pass replies for a human to approve, or triaging incoming enquiries before anyone reads them.

A good fit if

  • There is a specific, repetitive judgement task humans currently do
  • You have the data or documents the system would need to work from
  • A human can stay in the loop where the cost of being wrong is high
  • You can define what a good answer looks like

Probably not us if

  • You want AI because it is on the board's agenda but cannot name the task
  • The task requires certainty and has zero tolerance for error — automation rules will serve you better than a model

What is included

Scoping against one job

We define the task, the inputs, and what 'correct' means before building.

Retrieval over your content

Answers grounded in your documents and site rather than invented.

Document extraction

Turning invoices, forms, emails and PDFs into structured data your systems can use.

Human-in-the-loop

Draft-and-approve flows wherever a wrong answer would cost you.

Evaluation

A test set, so we can show it works rather than assert it.

Deployment and monitoring

Into your site, inbox or internal tools — with visibility into what it is doing.

Grounded, not guessing

A customer-facing assistant that invents an answer costs you more than having no assistant. Ours answer from your own material — your pages, your policies, your documents — and are built to say they do not know rather than fill the gap with fiction.

Where a mistake would be expensive, we put a human in the loop by design: the system drafts, a person approves, and the drafting still saves most of the time.

Where AI beats plain automation, and where it does not

If the rules are clear and fixed, you do not need a model — you need automation, and it will be cheaper, faster and more predictable. We will say so.

AI earns its place where the input is messy and unstructured: free-text enquiries, scanned documents, inconsistent supplier invoices, long email threads that need summarising. That is the line we work to.

Cost and privacy, up front

Model usage has a running cost, and we estimate it before you commit rather than after your first bill. Cheaper models are used for the parts that do not need the expensive ones.

We are also explicit about what data leaves your systems, where it goes and how long it is kept, and we design around your constraints if that matters in your sector.

Questions we get asked

Is custom AI worth it for a small business?

Only if it is pointed at a real, repetitive task. Scoped narrowly — enquiry answering, document extraction, drafting replies — it pays back quickly. Bought as a general capability with no defined job, it does not.

Will the AI make things up?

We build retrieval-grounded systems that answer from your own content and are designed to say they do not know rather than invent. Where accuracy is critical, a human approves before anything reaches a customer.

What is the difference between automation and AI?

Automation follows rules you define; AI handles messy, unstructured input where the rules cannot be written down. Most good solutions use both — and if rules alone will do the job, we will recommend that instead because it is cheaper and more predictable.

What does it cost to run?

There is an ongoing usage cost on top of the build. We estimate it during scoping, keep the expensive models for the parts that need them, and design so the running cost scales sensibly with volume.

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