Made for Swiss self-employed & SMEs
You have hundreds of documents — contracts, letters, offers, invoices, meeting notes — and you know the answer is in there somewhere. Until now, making that searchable meant setting up a database and a lot of technical fiddling. A new generation of tools skips all that.
The idea behind tools like PageIndex is simple: instead of turning every document into technical “fingerprints” and comparing them, the AI reads the document the way a careful person would. It builds a table of contents from the document's own headings and walks down to the right page to answer.
Why the old way was heavy
Most “chat with your documents” tools work by matching. They turn every sentence into a kind of fingerprint and look for passages that resemble each other. That's great at finding look-alikes, but it often misses the real answer: the paragraph that matters may not look anything like your question.
The result is setup work — a database to run and technical settings to look after — that a small Swiss office simply doesn't have time for.
Understanding instead of matching
The new approach skips the fingerprint matching entirely. The AI builds a simple index straight from the document's own layout — headings, sections, pages — and then reasons its way to the answer, the way you flip to the right chapter in a report. Matching is replaced by understanding.
For a notary, fiduciary or doctor, that means asking a plain question — “what does this contract say about the notice period?” — and getting the answer with the right source, without first becoming a technician.
What this means for your office
- Less setup: no database to run, no technical settings to tune — the tool reads the files directly.
- Better answers: it finds what is relevant, not just what looks similar.
- Clear sources: the answer points back to the exact page or section, so you can check it yourself.
A sensible starting point
You don't need to rebuild your whole archive overnight. Start with one folder you search often — contracts, or client letters — and try the newer document-search tools on it. Keep the data rules you already follow: only upload to a service you trust, and remove client-identifying details where you're unsure.
The direction is clear: searching your own documents is getting closer to “ask a question, get the right page” — without the technical project that used to come with it.
