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AIengineering

Language models applied to a specific job inside an existing system, with the retrieval, review and cost controls that decide whether the result can be relied on.

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What that includes

  • Language model features scoped to one job inside an existing product
  • Retrieval over a business's own documents and data
  • Document and image extraction into structured records
  • Human review and fallback paths for uncertain output
  • Cost, latency and rate-limit control
  • Agreed acceptance criteria before a feature is switched on

The interesting part of an AI feature is not the prompt. It is everything around it: what the model is allowed to see, what happens when it is wrong, and how anyone decides whether it is good enough to leave switched on.

We take that engineering view of it. A feature is scoped to one job - summarise this, classify that, pull these fields out of a document - grounded in the business's own data rather than in a general web index, with a defined path for output that is uncertain or refused, and with acceptance criteria agreed before it goes anywhere near a customer.

If a model is not the right tool for the job, we will say so.

How an engagement runs

Four steps, and we stay after the fourth: what we build, we host and support.

  1. 01

    Discovery

    We map how the business actually runs today, including the spreadsheets and the workarounds.

  2. 02

    Build

    We build the system in small, shippable pieces you can use before it is finished.

  3. 03

    Integrate

    We connect it to the couriers, payment providers and marketplaces you already depend on.

  4. 04

    Host and support

    We run it on infrastructure you own or on ours, as agreed, with backups, monitoring and someone to call.

Questions about this service

Each answer links to where the site shows it.

Do we need AI?

Only if it does one specific job inside the system. We scope a model to that job, add human review for uncertain output, control the cost, and agree acceptance criteria before it is switched on.

AI engineering

Other services

Each links to what it includes and to its case studies.

Bring us theproblem, notthe spec.

We will tell you whether software is the answer, and roughly what it would take.

Tell us what is slow or broken, when you need it, and your budget range.

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