From document folder to answer engine

Nothing about the way you author and approve documents has to change. The assistant sits on top of what you already have and makes it searchable for the people who have to follow it.

01

Load your documents

Work instructions, procedures and standards are ingested as PDF or Word. The system tracks versions and revision dates. The document source is a connector: SharePoint, Dropbox, a network share or a quality-management system.

02

Someone asks

In their own words, the way they would ask an experienced colleague. Access is enforced during retrieval, not afterwards: a document the person's role may not read never becomes a candidate, so it cannot leak into an answer.

03

A sourced answer, and a view for management

A language model writes the sentences, but the substance comes only from the retrieved passages. The answer cites document, section and revision. Management follows what is being asked and where the documentation falls short.

Architecture

Built to get approved

These are not the features a buyer gets excited about. They are the features that stop IT from saying no.

One door to the data

Retrieval is the only place a human reads through. Access is enforced by credentials, not by convention.

Content-blind logging

The logger records that a question happened and how it ended — never what was typed. That is the answer to free-text fields and personal data.

Separate deployment per organisation

Every installation runs on its own — ours at the hosting provider, or yours, from the same images.

Precious and reproducible, kept apart

Documents, users, permissions and history are backed up. Vector indexes are simply rebuilt.

Updates with a way back

Preflight checks, database backup, maintenance mode and rollback if anything fails.

Sources as adapters

SharePoint, Dropbox, a network share or a quality-management system — the document source is a connector, not a rebuild.

Where to next