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AI development & automation

Build AI around
work that matters.

Custom AI features, document processing, business assistants and workflow automation. Practical delivery for a focused business problem or a larger enterprise programme.

UK & international enquiries · Scope, delivery and support agreed with you

Useful applications

Start with the work you want to improve.

01 / DOCUMENTS

Make information useful.

Extract and organise information from documents, with checks and human review where errors matter.

Discuss document processing →
02 / WORKFLOWS

Connect the steps in your process.

Integrate existing systems, prepare draft outputs and reduce repetitive administration within agreed boundaries.

Discuss automation →
03 / ASSISTANTS

Help people find and use knowledge.

Build scoped assistants around approved business information, with source references, access controls and a clear escalation route.

Discuss an assistant →

A scope you can assess

A focused build or an enterprise engagement.

Focused project

One useful workflow.

Identify a specific process, define the inputs and expected outputs, and agree a build with measurable acceptance criteria.

  • Feasibility and requirements
  • A scoped prototype or pilot
  • Integration and testing
  • Agreed handover and support

AI work is quoted individually. Hosting, model usage and other third-party costs are identified in the quote.

Tell us about your workflow →
Enterprise delivery

Discover. Pilot. Implement.

Start with paid discovery before committing to production implementation. We establish the data, integration, security, operational and delivery requirements with your team.

  • Requirements brief and data/integration assessment
  • Measurable acceptance criteria
  • Delivery estimate and milestones
  • Support proposal and responsibilities

Production scope and pricing follow the assessment. Larger programmes are bespoke engagements; the small-application guide price does not apply.

Discuss enterprise AI →

Delivery discipline

Build confidence before expanding.

Choose the outcome

Define the business problem and the people responsible for it.

Test a pilot

Use representative, approved data and compare results against an agreed baseline.

Plan production

Confirm integrations, access, exception handling and operating costs.

Support the service

Agree monitoring, maintenance, ownership and future changes.

AI outputs can be incorrect. We agree appropriate validation and human oversight; a pilot is not a guarantee of production performance.

Beyond the first version

Keep useful systems working.

Automation maintenance, integrations, reporting dashboards and application support can be scoped alongside the build. Coverage, response targets, usage costs and changes are agreed individually.

Read: planning an AI pilot · Read: automation costs and support

Discuss your requirements →