# 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.

- URL: https://www.enter20.com/en/lab/caja-documental/
- Español: https://www.enter20.com/laboratorio/caja-documental/
- enter 2.0 — Practical AI, governed data, dashboards, automation and information systems for organisations that need to make better decisions.

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.
- Fictional data: Everything you see in the demos is fictional: the company «Alisio», the people, the amounts and the documents. Nothing leaves your browser.

## 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.