Lab · Administration and documents

ENTERBOX: the AI goes to the documents

A device in the office turns documents into searchable information, with local processing and the sources in view.

Pilot Pilot in a services SME: inventory, local PDF/OCR extraction, master data and document viewer operational according to the documentation of 27/10/2026. The mock-up also illustrates proposed features; organisational memory and OKF are a separate case, at the Design stage.
Reading for

Fictional data Everything you see in the demos is fictional: the company «Alisio», the people, the amounts and the documents. Nothing leaves your browser. The interactive demos keep their interface in Spanish, as built.

For management

The problem

Years of contracts, invoices and quotations on a file server. Nobody knows what is there, what is duplicated or what sensitive data it holds, and uploading it all to a cloud AI is not an option.

What it does

  • Inventory of the server without modifying the originals.
  • Local PDF/OCR text extraction, master data and a viewer for the cited document in the pilot.
  • The mock-up shows a proposed traffic-light rating and three levels: metadata, local content, and cloud with recorded authorisation.
  • Classification proposals and their approval are simulated with fictitious evidence.
  • Organisational memory extends this approach with curated, portable context; it is listed separately as Design.

What you gain

  • Designed for knowing what is there and locating the evidence.
  • Consulting structured information alongside its source document.
  • Deciding what is processed locally and what would require additional authorisation.

Try this

  • Go through the traffic-light rating folder by folder.
  • Try to switch on the «nube» (cloud) level and see what it asks for.
  • Approve or reject a classification proposal.

For IT leadership

How it is built

  • Mini PC with Ubuntu Server, PostgreSQL, PDF/OCR extraction and a local query portal; remote administration through Tunnel and Access.
  • Reading throttled by schedule, resources and temperature to limit the impact on the office.

Security

  • Encrypted disk (LUKS2 with TPM2) and Secure Boot; SSH with key only.
  • Source mounted read-only; separate database roles for ingestion, review and querying.
  • No content goes out to a cloud AI without recorded authorisation.

Use of AI

Local PDF/OCR extraction active. The assisted classification and the cloud authorisation in this mock-up illustrate the design; they are not evidence that a model is used in the pilot.

Operations

  • Layered backups and decisions recorded as ADRs; an adaptation of the remote backup is still pending according to the documentation of 27/10/2026.
  • The figures, logs and controls shown here are fictitious.

Built for a services SME with a large volume of client documentation on its file server.

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