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AI automation & agents

AI that finishes the work, not just the sentence.

We design, build and run AI agents that take a real job off your team — reading your systems, deciding what the case needs, acting inside limits you set in writing, and handing anything irreversible to a named person first.

What we work with

  • Python
  • LLM orchestration
  • RAG pipelines
  • Vector databases
  • Computer vision
  • Cloud deployment

Scope

What this includes

01

Task and workflow agents

Agents scoped to one job: clearing a support queue, chasing a document, reconciling a ledger, triaging an inbound enquiry. Each one gets a written scope and a value ceiling.

02

Retrieval and RAG systems

Assistants grounded in your own documents and history rather than general web knowledge — the approach behind our dental EHR work, where recommendations follow standardised coding guidelines.

03

Computer vision

Image and video models that run where the work happens: on-device seed grading offline in rural centres, streaming CCTV analysis on ships, object recognition in construction drawings.

04

Process automation

The unglamorous middle of a process — matching, chasing, summarising, escalating — automated with an audit trail your compliance team can actually read.

Process

How we run it

  1. 01

    Read-only week

    We connect to your stack and watch. No agent acts until we can show you it understands your data.

  2. 02

    Written scope

    Which cases it takes, which tools it may call, what it may spend, who approves the rest. Signed before we build.

  3. 03

    Shadow run

    The agent drafts every action and executes none. Your team compares its decisions against theirs.

  4. 04

    Live, narrow

    It goes live on the smallest useful slice. Scope widens only once the numbers hold.

Tell us the workflow. We will tell you what it needs.

A short call about one real process, and a clear answer on what it would take.