/services/ai

The AI your business actually needs, built to be trusted

Assistants trained on your data, document processing and workflow automation. Every system measured against an eval suite before launch, guarded by humans after.

// what we do

Where we earn our keep

  • Assistants on your data. Customer and staff assistants that answer from your documents, policies and product data, with citations on every answer so it can be checked in one click.
  • Document processing. Invoices, contracts, CVs and forms read, extracted and filed automatically. A human review step sits wherever the stakes demand one.
  • Workflow automation. Triage, data entry, first-draft replies and reporting handled by AI, with your team approving anything that leaves the building.
  • Voice and transcription. Calls and meetings transcribed, summarised and turned into actions your systems can pick up.

// tools we reach for

The stack

Chosen per project, never by habit. These are the tools we most often ship with for AI.

Claude OpenAI RAG pipelines pgvector LangChain Whisper Python Evals

// deliverables

What you actually get

Every engagement ends with things you can point at, not hours on an invoice.

01

A working AI system in production

Deployed, monitored and used daily. Not a proof of concept in a notebook.

02

Eval suite

Accuracy measured against real queries before launch and continuously after. Quality is a graph, not an opinion.

03

Your data pipeline

Documents ingested, chunked and indexed, refreshed automatically as your content changes.

04

Guardrails in writing

What the system can read, what it can do alone, and when it must hand to a human. Documented and enforced.

05

Cost model

Per-query economics with a daily spend cap, so the feature stays profitable at scale.

06

Privacy assessment

What data goes where, under which agreement. GDPR and UK/EU residency handled from day one.

// next step

What could your software do if it could think?

Tell us about the work your team still does by hand. We'll reply within one working day with an honest view of what AI can and can't do for it.