Services

AI integration

Apply AI to a defined workflow with named source material, review points and an escalation path for uncertainty.

Who it is for

  • Teams with documented knowledge or repetitive information work
  • Product owners evaluating an AI-assisted workflow
  • Organisations that need clear human oversight

Problems we solve

  • Knowledge is scattered across approved documents
  • A repeated content or routing task consumes attention
  • People need help finding grounded information during work

What we build

  • Grounded assistants and semantic search
  • Document processing and internal decision support
  • Workflow automation with review points
  • Evaluation-oriented prototypes or integrations

Relevant client work

What you receive

A bounded AI-assisted workflow with clear sources, evaluation questions and human responsibility.

  • Retrieval, document-processing or recommendation workflow design
  • Integration boundaries and permission considerations
  • Evaluation cases and feedback signals
  • Human handoff and operational notes

How we work

Define the decision and its safeguards

Identify the source material, the action an assistant may support, the quality bar and when work returns to a person.

  • Source and access inventory
  • A testable task definition
  • A review and escalation path

Technology and integrations

The technical approach follows the product, data boundaries and integration requirements. We make external-system access, ownership and release needs visible before implementation where they affect the scope.

Engagement model

The work can begin with focused discovery, move into a product design-and-build phase, or continue around an existing product when an ongoing model is agreed.

Explore ways to work together

Boundaries and checks

Not included unless agreed

  • Claims that a model is always correct
  • Use of unapproved or inaccessible source data
  • Replacement of accountable human decisions where review is required

What we check early

  • Incomplete, stale or incorrectly permissioned source material
  • A vague quality definition
  • Automation that has no safe exception path

Frequently asked questions

Can an AI feature be assessed before it is connected to live work?

Yes. A bounded evaluation can use approved examples and defined failure cases before a broader integration is considered.

Does an assistant remove the need for review?

No. The workflow should state what people review, when they take over and how uncertainty is shown.

Discuss an automation project

Discuss this service

Share the task, approved sources and the decision that needs support.

Discuss an automation project