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AI Agents Cut E-Invoicing and EDI Mapping Time by 47%, While Keeping Humans in Control

Summary

  • Comarch is introducing agent-based AI orchestration into EDI and e-invoicing document mapping, automating significant parts of analysis, implementation, testing and change management. Dedicated AI agents work with mapping specifications, C# code, schemas, Jira tickets and real transaction documents, while human specialists retain approval over business rules, uncertain mappings, production deployment and substantive review. [comarch.com]
  • Preliminary productivity data indicates a significant efficiency gain. Comarch reports that average effort per mapping task fell from 4.33 hours in its 2025 comparison period to 2.30 hours in 2026, meaning approximately 47% less time per task. The approach is particularly relevant as companies must translate legacy EDI formats into Peppol, KSeF and other increasingly standardized or regulated e-invoicing formats. [comarch.com], [comarch.com]
  • The model illustrates how AI could transform the integration layer behind global e-invoicing without removing human accountability. Agents prepare mappings, analyze specifications, generate or modify code, perform schema validation and test transactions, but low-confidence mapping decisions are escalated rather than guessed. This human-in-the-loop approach is particularly important where mappings determine VAT data, invoice validity or compliance with regulated e-invoicing schemas. [comarch.com}

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