AI Implementation
& Engineering

Automate repetitive work with AI, or build a custom application around a problem your existing tools can’t solve.

We connect AI to your business systems and take on selected custom engineering projects, working closely with your team from design through rollout.

Discuss your project

AI implementation & automation

Put AI to work in
the tools you already use.

Customer messages flow into an AI system that extracts information for a customer records board; colleagues review a flagged record
Example: customer enquiriesAI reads the request, extracts the details and updates your customer system. Your team reviews exceptions and follows up.

When your team spends hours reading requests, entering data or passing work between tools, we can build an AI workflow to handle those steps.

We scope each implementation around your team’s processes, tools and goals. We configure the tools, connect your systems and define what happens when the AI needs help.

A few examples of what we can automate

  • Sales & operationsCapture enquiry details, update customer records and route work to the right person.
  • Customer supportConnect an AI assistant to approved knowledge, with clear routes to a human.
  • Document workflowsClassify incoming files, extract information and send it for review or into another system.

Measure the changeHandling time, manual corrections and cost per completed task.

Custom AI engineering

A system built around
your specific problem.

We take on selected custom AI builds where the data, product experience or technical requirements need dedicated engineering.

You work directly with us on the design and development. We build and test the application, connect it to your systems, and support your team through rollout and handover.

  • Custom applications & AI featuresBuild an internal tool or add an AI capability to your product, with an interface designed for its users.
  • Specialised document understandingExtract and match information across complex documents, link results to source passages and flag uncertain cases.
  • Models, retrieval & evaluationCompare approaches using your data and test quality, response time and running cost.
Engineers and a client build a document AI application, checking an extracted result against its highlighted source passage
Example: a custom document applicationAI interprets the source. The application keeps results traceable and brings uncertain answers to a reviewer.

White-glove support
throughout the build.

Regular working sessions and demonstrations keep you involved as the system takes shape. We explain the technical choices, test with the people who will use it and document how to run it.

From first test to daily use

Built, tested and ready
for your team.

For an automated workflow or a custom application, we agree what needs to improve and how we’ll check it. Then we build, test and prepare your team to take over.

  1. An engineer connects source documents, an AI module and an application.

    Connect the system.

    Build the workflow or application around your tools and data, with a clear route to a person when the AI needs help.

    You getA connected implementation
  2. An engineer compares source material with system outputs and checks a flagged result.

    Test it on real work.

    Check output quality, failure handling and running costs against the requirements we agreed before rollout.

    You getTests and results your team can review
  3. Colleagues work through an operating guide together beside a running application.

    Get the team ready.

    Walk through the system with the people who will use and maintain it. Document how to run it and what to do when something goes wrong.

    You getAn operating guide and team training

What would you like to build?

A workflow that takes too long? A product idea that needs custom AI? Tell us what you’re working on.

We’ll get back to you within 2 business days.