Automated classification and indexing
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.
The automated workflow
A structured process for fast, reliable results.
Document ingestion
Incoming documents are collected from your sources: email, document management system, collaboration platforms, scanners.
Content analysis
Text and visual content are analysed to identify the type of document, its subject and its key information.
Metadata generation
Category, tags, keywords, document type and confidentiality level are assigned.
Filing and indexing
The document is filed in the folder structure and indexed for immediate retrieval.
Tangible results
Up and running in 3 to 5 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Automated classification and indexing
More workflows: Document Management
Semantic search across document bases
Keyword search means guessing the vocabulary the author used. Employees rephrase, scroll through pages of results and end up asking a colleague, which takes two people to find a file that already exists.
Summarising long documents
Annual reports, sector studies and technical manuals far exceed the reading time decision-makers have. Useful information stays inside the document, and decisions are made on what people believe it contains.
Structured knowledge extraction
A company's know-how flows past continuously: internal memos, minutes, messages, reports. Feeding a wiki or a reference base means rereading that material and turning it into entries, a job nobody ever finishes, so expertise leaves with the people who hold it.
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