Skip to main content

AI & Automation

Apply intelligence where it creates value.

We assess real use cases for machine learning, LLM applications and automation before recommending technology.

See how it works

Illustrative workflow

Turn repetitive inputs into reviewed, useful actions.

Check whether the task and available data are suitable for automation.

Maturity

In development

Use-case assessment and prototyping. Production suitability is established per use case.

What it involves

A practical, evidence-led approach.

  • Use-case fit

    Is the task repetitive, data-rich and tolerant of occasional error? If not, AI may be the wrong tool.

  • Data readiness

    Availability, quality, ownership and permissions of the data a model would need.

  • Workflow design

    Where automation hands over to people, and how exceptions are handled.

  • Human review

    Review steps proportionate to the consequences of a wrong output.

  • Privacy and security

    Data handling, model hosting choices and access controls.

  • Measurement and improvement

    Baselines, evaluation sets and monitoring so performance is known rather than assumed.

Engagement flow

How the work progresses.

Important qualifications

Tell us what you're trying to solve.

From an emerging idea to a complex technology transformation, we start by understanding what matters to your organization.

Consulting • Engineering • Growth • Public-sector technology