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AI & Automation

Practical AI features and workflow agents that remove repetitive work from your team.

Close-up of a processor on a printed circuit board

The problem

Most "AI transformation" pitches are vague. What businesses actually need is specific: read this document, answer from our knowledge base, route this request, draft this reply.

What we build

  • Internal AI assistants grounded in your own documents (RAG)
  • Document processing and intelligent data extraction
  • Customer-support and back-office automation
  • AI workflow agents that call your systems through APIs
  • AI features added to existing applications

Who it is for

  • Teams buried in documents, emails and tickets
  • Companies that want AI inside the tools they already use
  • Businesses that need guardrails, logging and cost control around LLMs

Typical examples

Knowledge assistant

An internal chat assistant that answers policy and process questions from company documents with citations, deployed inside Microsoft 365.

Invoice and form extraction

A pipeline that reads incoming PDFs, extracts structured fields, validates them and posts the result to the accounting system.

Ready to talk about ai & automation?

Tell us what you need. You get a reply from an engineer within one business day, with clarifying questions or a proposed time for a short call. No sales pitch.