Insurance Document Processing

Attachment evaluation for payer-category changes: automated review of supporting documents.

Automated evaluation of attachment relevance, identification data, and validity periods. Significant reduction in manual work when processing insured-member applications.

Automatic

processing of variable documents

The Problem

What needed to change

  • Payers used the online portal to upload attachments supporting changes to their payer category (self-employed, pensioner, student, parental leave).
  • Evaluating these attachments was labor-intensive for insurance staff.
  • Each attachment had to be checked for document type, the insured person's identification data, and the validity period.
  • Documents were often of poor quality – incomplete, awkwardly photographed, or hard to read.

The Solution

What we implemented

We deployed an AI solution that automatically evaluates attachments uploaded through the online portal and verifies that they meet the requirements for approving a payer-category change.

  • Processes attachments automatically, with no manual intervention required.
  • Evaluates the relevance of each attachment type against the specific payer-category change.
  • Identifies the insured person's data and cross-checks it against the records in the insurer's systems.
  • Verifies the validity period of the attachment and assesses whether it matches the requested change.
  • AI models also handle documents that are not in ideal quality – scans, photos, or poorly legible attachments. The solution is ready to expand to additional attachment types.

The Results

What changed after deployment

  • Attachments uploaded through the online portal are evaluated automatically by document type, identification data, and validity period.
  • Significant reduction in the manual work needed to review supporting documents for payer-category changes.
  • Increased consistency in evaluating attachments across different types of applications.
  • The approval process is faster and less dependent on staff capacity during periods of higher application volume. The insurer now has a scalable solution that can extend to additional document types in the online portal.

More case studies

Document Processing

Dôvera · Insurance

Enforcement document processing: 60% back-office time saved.

100% of documents processed automatically. Senior staff freed during peak periods.

60% back-office time saved

Receivables Processing

Dôvera · Insurance

Receivables write-off review: from 2 weeks to ~1 hour.

Senior staff were freed up during peak periods. Decisions became consistent and auditable.

2wk→1h processing time · Data Extraction · Dôvera · Insurance

Medical leaflet extraction: structured dosage data from unstructured text.

New data source created for prescription audits. Previously invisible information made operational.

New audit data source created

A similar process in your organization?

Tell us about your workflow. We'll tell you whether AI fits – honestly, even if the answer is no.

AI with a sense for your business. Applied AI, not theoretical.

INSYNAPS on LinkedIn

INSYNAPS s. r. o. · Staré Grunty 16, 841 04 Bratislava, Slovakia · ID No. (IČO): 55 819 028 · Tax ID (DIČ): 2122100486 · VAT ID: SK2122100486 · Registered in the Commercial Register of the City Court Bratislava III, Section: Sro, Entry No. 173404/B

© 2026 INSYNAPS. All rights reserved.

No client data ever stays in language models.