Document Intelligence: how Artificial Intelligence transforms documents into usable data

Why business documents are a challenge

Every day, mountains of documents circulate within companies: delivery notes, order confirmations, invoices, price lists, product catalogs, company reports, financial statements, and newspapers. Often these are scanned files, with charts, tables, or data that is not always well-structured. This creates a problem: valuable information that is difficult to extract, manage, and use automatically.

What is Document Intelligence

Document Intelligence is the ability of Artificial Intelligence to understand, interpret, and transform documents into usable data. Essentially, AI reads documents as a human would, but in a fraction of the time, making information that was previously “trapped” in files accessible.

The problem of “intelligent but inaccessible” documents

A scanned document is, for a computer, little more than an image. The data is there, but trapped in a visual structure that traditional systems cannot read. The same applies to complex PDFs with tables or charts that change format depending on the supplier or department.

For companies, this translates into hours of manual work: transcribing, double-checking, and copying data between systems, or giving up on fully utilizing this information in decision-making processes.

How AI changes the game

Document Intelligence models allow these limitations to be overcome. Today, AI can automatically analyze scanned and structured documents, recognizing not only the text but also the logic that organizes it:

• Price tables
• Trend charts
• Total columns
• Signatures and stamps

The system interprets the content, understands the context, and outputs the data in a structured format, ready to be integrated into ERP, CRM, or analytics platforms.

Real use cases

We have applied Document Intelligence solutions to very different types of documents:

• Delivery notes and order confirmations
• Invoices and supplier catalogs
• Corporate reports of publicly traded companies
• Newspapers and historical archives

In all cases, the goal was to free the data and make it accessible, eliminating manual reading. The result is clear: faster processes, fewer errors, and a continuously growing, automated database.

The future of self-reading documents

Document Intelligence does not replace humans, but frees them from repetitive tasks. Companies can thus focus on analysis and strategic decisions, not transcription.

In a world where information travels faster than ever, the ability to understand documents can make the difference between those who chase data and those who use it to move ahead.