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Espace de travail moderne

UP TO 90% LESS TIME TO STRUCTURE A REGULATORY TEXT​

A leading company in TIC industry cut the time its regulatory intelligence team spends turning raw regulatory texts into structured, classified requirements. Up to 90% faster on complex texts.​

LIVE IN PRODUCTION

The challenge

Nothing downstream moves until a new decree is structured.​

Manual segmentation

Each unit cut by hand, then pasted and classified by hand.​

80 texts + 300 updates a year​

Handled by a team of five regulatory experts.​

Silent risk on updates​

A missed obligation propagates into every downstream answer.​

How Qleer changes the workflow

BEFORE​

The expert reads the PDF, cuts the text by hand into single requirements, decides for each unit whether it is an obligation or information, then copy/pastes it into the internal tool's format.​

WITH QLEER​

The expert uploads the regulatory PDF. The engine cuts the text by semantic unit and classifies each one as a requirement for action or for information. A structured file is generated to feed the internal tool.​

THE EXPERT​

Reviews the extraction in a fully editable interface: corrects, deletes or adds requirements, then validates and feeds the database.​

AI prepares. The expert decides.

Human-in-the-loop by design, every requirement validated before filling the database.​

Measured results

90%​

Less time to segment a text​

25% on simple texts, 90% on complex ones 

98%​

Segmentation accuracy

85% to 98% depending on text complexity

300+

Text updates a year in scope​

Redline function available; automatic update of existing texts​

Impact & Proof

Business impact

Why it holds

Experts refocused on analysis. No more a bottleneck.​

Human-in-the-loop - the expert validates every requirement before it lands​

Reactivity: faster response on each new decree​

Fully editable - corrections, deletions and additions in one interface​

Expertise: 5 experts refocused on analysis, not retyping​

Quality: consistent output, not expert-dependent​

Accuracy measured - 85% to 98% segmentation accuracy in a live pilot​

Efficiency: gain on 80 texts and 300+ updates a year​

Integration ready - structured CSV export now, two-way integration next​

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