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AI & Intelligent Systems

Applied AI that fits into how you already work

Machine learning, computer vision and generative AI built into real business systems, starting from the problem and the data you have.

Business challenges

When this service helps

  • Decisions depend on information buried in documents, images or video
  • Repetitive judgement tasks consume skilled staff time
  • Teams want to use generative AI but need it grounded in their own content
  • Earlier AI experiments never made it into production

Service scope

What we take on

  • Assessment

    Is AI the right tool? We check the problem, available data and success criteria before building.

  • Data preparation

    Collecting, labelling and structuring the data a model needs.

  • Model development

    Building and evaluating models against agreed measures.

  • Integration

    Connecting models to your applications, workflows and users.

  • Deployment and monitoring

    Running models in the cloud or at the edge and watching their behaviour over time.

Engineering capabilities

AI & Intelligent Systems capabilities

  • AI / Machine Learning

    Prediction, classification and pattern detection on business data.

  • Computer Vision

    Detection, recognition and measurement from images and video.

  • Generative AI & Chatbots

    Assistants and content generation grounded in your own documents.

Example use cases

The kind of work in scope

  • Visual inspection

    Flagging defects or anomalies from camera images on a line or site.

  • Document assistant

    Answering staff questions from internal policies and manuals, with sources.

  • Assessment support

    Generating practice questions and assisting evaluation, as in our LearnAIMatrix product.

These are illustrative examples of work this service covers. They are not descriptions of completed client projects.

Engagement process

How a project runs

We start with a short assessment, prove value with a scoped proof of concept, then harden the system for production.

  1. Step 1: Discovery
  2. Step 2: Architecture
  3. Step 3: Development
  4. Step 4: Validation
  5. Step 5: Deployment
  6. Step 6: Support

Each stage is described on the services overview.

FAQ

AI & Intelligent Systems: common questions

Discuss your AI & Intelligent Systems project

Describe the problem and constraints. We'll respond with questions and a suggested first step.