The latest from Dylogy for you;
New subscriptions, renewals, audits… At every critical deadline, teams must process hundreds of documents, compare versions, validate contractual commitments, and ensure compliance. All of this under tight deadlines, with increasingly stringent internal and regulatory requirements — and high-stakes decisions on the line. In this context, Dylogy is launching Dylogy Analyzer: a generative AI application designed to structure, secure, and trace contract analysis in insurance. The goal? To turn a process that remains too manual, fragmented, and therefore risky into a lever for rigour and efficiency.
This marks the first building block in a broader strategy focused on risk control and document governance.
A critical business challenge turned into a strategic lever for insurers
On the ground, professionals are confronted with poorly structured, hard-to-read data: multiple formats, annex references, clauses
written differently from one contract to another, loosely formalised validations… The result? An average of 3 to 4 hours spent per contract, 20% of internal rules not applied, and a high cognitive load that complicates decision-making. When teams are under pressure from volume and tight deadlines, these frictions slow down processes, expose organisations to legal and financial risks, and weigh heavily on the quality of decisions.
Structuring and streamlining the legal analysis chain has become a priority — to secure critical processes and ensure their
acceptability in an increasingly regulated environment.
Dylogy Analyzer: generative AI built for operational realities
This is exactly the approach behind Dylogy Analyzer: providing teams with a tool that can absorb the complexity of contractual data — without adding friction or disrupting existing workflows. Intuitive and easy to integrate, the solution automates the identification of key features, clauses, and exclusions, compares them against internal reference frameworks, and flags discrepancies based on their level of criticality. By leveraging targeted business knowledge bases and Large Language Models (LLMs), Dylogy Analyzer enables teams to:
• Automatically gather and classify key documents within a contract file by type, version, source, or date,
• Extract and structure critical information from contracts,
• Compare key elements, identify discrepancies, duplicates, and inconsistencies,
• Apply additional internal or regulatory rules expressed in natural language,
• Generate an eligibility score with concrete recommendations,
• Ensure full traceability of each decision and support more effective collaboration through clear, intuitive reports.
“What isn’t read can’t be understood — let alone acted upon. Today, in a sector as document-heavy, complex and exposed as insurance,
teams no longer have the luxury of manually searching for information, analysing it line by line, or second-guessing their decisions. Humans aren’t omniscient: faced with growing complexity and cognitive overload, Dylogy Analyzer becomes a true safety net — across the entire value chain.” — Aurélien Couloumy, CEO of Dylogy.
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