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AI & Automation

AI that does real work, on your own data.

Generative AI, agents and automation with guardrails, evaluation and governance built in from day one.

AI & Automation

What this division does

Many AI projects stall after a demo because nobody measured whether the answers were right, who could see which data, or what happens when the model is wrong. We start with one business task, define how success will be measured, and build the evaluation before the feature.

Our work covers assistants that answer from your documents with sources, agents that complete multi-step work with human approval points, document extraction, customer-support automation and robotic process automation for rule-based tasks.

14
services in this division
4
industries we apply it in
AI & Automation

Services

Our AI & Automation services

Open a service to see the problems it solves, what is included, what you receive and how the engagement runs.

Delivery

How we deliver

  1. 01

    Pick the task

    One measurable business task, its data sources and who is affected if the answer is wrong.

  2. 02

    Build the evaluation

    Test questions and expected answers agreed with your team before the model is chosen.

  3. 03

    Build with guardrails

    Access control, prompt-injection defences, logging and human review where it matters.

  4. 04

    Measure and improve

    Accuracy, cost and response time reported against the agreed targets.

Ready to start? Talk to us directly.

Tell us what you need in a few lines. A specialist replies with next steps and a written proposal before any work begins.

Frequently asked questions

Can't find your answer? Ask us

Is our data used to train public AI models?
We configure model providers so that your data is not used for training where the provider offers that option, and we document which providers process your data. Where data must stay in your own environment, we can use self-hosted models.
Which AI models do you use?
We select per task: commercial models from providers such as OpenAI, Anthropic and Google, or open-weight models hosted in your cloud. The choice depends on accuracy, cost, latency and data-residency requirements.
How do you stop the AI from making things up?
Retrieval-augmented generation grounds answers in your documents and shows the sources. Evaluation tests measure accuracy before launch, and the assistant is designed to say when it does not know.
Is AI suitable for regulated industries?
Often, with the right controls: access restrictions, audit logs, human review for decisions that affect customers, and documentation for your risk and compliance teams.

Talk to the AI & Automation team.

Share a few details. A specialist replies with next steps, usually starting with a short call.

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