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.
The automated workflow
A structured process for fast, reliable results.
Document import
The long document (report, study, manual) is loaded, whatever its format: PDF, Word, HTML.
Structural analysis
Structure, key sections, figures and conclusions are identified.
Summary generation
A structured summary of the essential points, key figures and recommendations, at the level of detail required.
Customisation and export
Level of detail adjusted, filtering by theme and export in the format you need (PDF, email, slide).
Tangible results
Up and running in 3 to 4 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Summarising long documents
More workflows: Document Management
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.
Duplicate detection and document consolidation
Over the years, a document base accumulates copies, outdated versions and redundant content. That volume weighs on storage, dilutes search results and exposes the organisation to the costliest risk of all: working in good faith on an obsolete version.
Metadata and summaries for archiving
Archiving requires descriptive metadata: author, date, subject, keywords, summary. That entry comes at the end of the cycle, when the document has stopped being useful to its author, so it is rushed or put off. Archives then become hard to use and retention obligations rest on approximate filing.
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