AI

We are frontrunners in using AI in software development and quality assurance. And we build AI agents for our customers: fully configurable, with an audit trail of everything they do.

AI in development

Engineers who build with AI, every day.

AI assistants and coding agents are part of our daily routine. Our engineers stay in charge: they set the direction, review every change and remain responsible for the result.

  1. 01

    Analysis & design

    AI helps us understand requirements and existing systems faster, and explore designs before we commit to one.

  2. 02

    Building

    Coding agents take on well-defined work, so engineers spend their time on the decisions that matter.

  3. 03

    Review

    Every change gets an AI review on top of the human one, catching issues before they reach you.

  4. 04

    Modernisation

    AI speeds up reading, documenting and migrating legacy code, one of the hardest parts of any modernisation.

AI in QA

Tested more broadly, in less time.

Quality assurance is where AI pays off quickly. We use it to make testing broader and faster, without losing the judgement of an experienced tester.

  1. 01

    Test design

    Test cases derived from requirements and user stories, including the edge cases people tend to miss.

  2. 02

    Test automation

    Automated regression tests written and maintained with AI, so they keep up with every release.

  3. 03

    Test data

    Realistic test data generated on demand, without using production data.

AI agents

AI agents you stay in control of.

We build AI agents that take work off your hands: handling requests, processing documents, preparing decisions. Fully configurable, and fully traceable.

Fully configurable

  • What the agent does: its instructions and goals
  • Which systems and data it may use, and with what rights
  • When a person has to review or approve
  • Which AI model it runs on

Complete audit trail

  • Every input, decision and action is recorded
  • Who started it, what the agent did and when
  • Traceable afterwards, for your own checks and for auditors
audit-trail · example
  1. 09:14:02agentRequest received via customer portal
  2. 09:14:05agentRead 3 documents from the customer file
  3. 09:14:11agentDrafted answer, confidence 0.91
  4. 09:14:11ruleApproval required: amount above limit
  5. 09:31:40personApproved by a reviewer
  6. 09:31:42agentAnswer sent, case closed

Curious what AI can do for you?

Let’s talk about where AI makes the difference in your organisation.

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