Dôvera:
Write-off Evaluation

Cases

Problem

Dôvera, a leading health insurance provider in Slovakia, faced a recurring annual burden during the manual processing and evaluation of receivables for write-off as part of the year-end accounting closure.

Each year, especially during the year-end close, the chief accountant and other team members at Dôvera had to:

  • Manually review large reports of receivables pending write-off

  • Cross-reference structured data with comments and unstructured accounting notes

  • Make decisions on the write-off method and tax deductibility for each receivable

This process was extremely time-consuming, especially during the busiest period for accountants, and critically dependent on the expert knowledge of a single individual. The client was seeking a way to speed up the process, reduce the load on key personnel, and ensure consistency in decision-making.

Solution

We designed and implemented an AI solution that:

  • Analyzes a combination of structured accounting data and free-text notes that were previously processed manually

  • Uses trained evaluation logic to assess each case

  • Based on this logic, the system recommends the most appropriate write-off method, including tax deductibility

The outputs are presented in a clear format, ready for quick validation and export by the accounting team into their financial systems.

„Insynaps delivered a solution that relieved us of one of the most demanding moments of the year. Instead of two weeks of intensive work, we had a complete overview ready in just one hour – fully aligned with our internal logic.“

Dôvera Health Insurance Company

Result

  • The time required to evaluate all receivables was reduced from approximately 2 weeks to just about 1 hour.
  • Key personnel were significantly relieved of manual workload, reducing the risk of burnout and errors under pressure.
  • The client gained the ability to perform receivables evaluation continuously throughout the year, not just during year-end closing.
  • Decision-making became more consistent and aligned with established practices.
time savings
in evaluation
0 %

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