Services

AI & Automation

Practical AI inside your software: document processing, search over your own data, assistants and automated workflows.

Overview

AI is worth adding when it removes real work from a real process. We add it where it earns its place, with the guardrails, logging and human review a business system needs.

Our approach

We measure before and after. If an AI feature does not save time or improve accuracy on your real data, we say so and suggest something simpler.

See how we make AI safe for production, and the use cases we build by industry.

AI Engineering

What we build

  • Document extraction and classification
  • Search and question answering over your own documents
  • Internal assistants connected to your systems
  • Workflow automation and routing
  • Automated reporting and summaries
  • Integration with commercial and open-source models
How a project runs

The same proven process, whatever we build.

01

Discover

Goals, users, constraints.

02

Define

Scope, milestones, estimate.

03

Design

UX, architecture, security.

04

Build

Working software every sprint.

05

Launch

CI/CD, monitoring, handover.

06

Support

Maintain and improve.

Practices kept since 2004: written specifications before building · prototypes for early feedback · regular status reports · tracked changes to code and design · test plans and automated tests · clear acceptance criteria for every deliverable.

Have a system that has to be right?

Tell us what you are building. We will reply with questions or a time to talk.