AI use cases/Document Management/Automated classification and indexing
Document Management

Automated classification and indexing

-80% filing time

Filing incoming documents is a repetitive task: categorise, name, tag, store. Everyone applies their own logic, so the folder structure fragments and finding a document later costs more than filing it did.

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The automated workflow

A structured process for fast, reliable results.

01

Document ingestion

Incoming documents are collected from your sources: email, document management system, collaboration platforms, scanners.

02

Content analysis

Text and visual content are analysed to identify the type of document, its subject and its key information.

03

Metadata generation

Category, tags, keywords, document type and confidentiality level are assigned.

04

Filing and indexing

The document is filed in the folder structure and indexed for immediate retrieval.

Tangible results

-80%
Time spent filing
95%
Classification accuracy after calibration
1 convention
Naming and folder structure applied consistently

Up and running in 3 to 5 weeks

From specification to deployment, with visible results from the first few weeks.

Rapid scoping (1 week)
Working prototype at the halfway point
Deployment and training included

Frequently asked questions: Automated classification and indexing

All common formats: PDF, Word, Excel, emails, scanned images. The system adapts to the variety of your documents and gradually takes on your filing conventions.

Training starts from your existing folder structure and filing rules. A calibration phase quickly brings accuracy to a high level, which user feedback then consolidates.

Every classification can be approved or corrected by an employee, and corrections feed the model. A dashboard tracks accuracy over time.

Yes, connectors cover the main systems on the market (SharePoint, Alfresco, M-Files), with an integration that leaves your infrastructure as it is.

Ready to automate this workflow?

A free first call to assess the feasibility and ROI of this use case in your context.

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