Claims File Analysis

When files become complex to process

Each claim generates a large volume of heterogeneous documents and information. Verifying file completeness, identifying missing documents, and understanding the chronology of events requires meticulous analysis.

This complexity lengthens processing times and increases the risk of error or inconsistency in decisions.

Why manual analysis slows processing

Manual file examination relies on successive readings and cross-checks between documents. Inconsistencies or contradictory information can go unnoticed, especially when volumes are high.

This burden slows processing and complicates prioritization of sensitive files.

Fasfox’s approach to claims analysis

Fasfox develops artificial intelligence solutions capable of analyzing all documents in a claims file. The AI identifies key documents, extracts relevant information, reconstructs facts, and flags inconsistencies or vigilance areas.

Outputs are structured and facilitate decision-making, while leaving final validation to business experts.

How it works in practice

1. Claims file documents are collected.
2. Artificial intelligence analyzes documents and their content.
3. Key information and chronology are reconstructed.
4. Inconsistencies and missing documents are flagged.
5. A clear file summary is generated.
6. Experts process the file more quickly.

Operational benefits

• Reduced claims processing times
• Better reliability of file processing
• Rapid identification of sensitive points
• Time savings for experts
• More secure decisions

Situations where this solution is particularly relevant

• Complex or large claims files
• Multiple supporting documents
• Need to make processing more reliable
• Strong timeline and compliance requirements

Deployment and integration

Fasfox deploys this solution by integrating with existing claims management tools and document databases. Analysis and output rules are adapted to practices and evolve with usage.