Custom AI integration for your business
AI wired into your data and your processes, with a measurable scope — not a demo that impresses and changes nothing.
Typical timeline : 3 to 6 weeks
Built with
- OpenAI
- Anthropic
- Google Gemini
- PostgreSQL
- Node.js
The problem
Everyone talks to you about AI; nobody tells you what it would concretely change in your working week.
Who it's for
- Businesses processing a large volume of documents or forms
- Teams losing several hours a week to one repetitive task
- Projects where a demo impressed but never reached production
Scope
What's included, and what isn't
Stating the limits up front spares both sides an unpleasant surprise later.
FAQ
Frequently asked questions
What is RAG, in practice?
Retrieval-augmented generation means finding the relevant passages in your own documents first, then letting the model write only from those. That is what lets AI answer about your business without inventing, and without retraining anything.
What does the AI cost to run?
It depends on volume and model. I produce a monthly estimate during scoping, set caps, and the maintenance fee includes a usage allowance. Beyond that, it is passed through at cost, with no margin.
How do I know whether the result is any good?
By measuring it. We build a set of real cases with their expected answers, and I publish a success rate before going to production. Without that number, an AI project rests on an impression.