Lucanet has launched the innovative Tagger Agent for XBRL (Extensible Business Reporting Language) reporting, a market-first solution designed for efficiency in the upcoming reporting season. This comprehensive narrative tagging tool addresses the manual tagging challenges faced by finance teams. According to Janis Steinmann, head of XBRL at Lucanet, the multi-agent AI architecture enhances tagging accuracy and minimizes repetitive tasks, allowing experts to focus on validation rather than tedious processes. Key features include automated narrative and numeric table tagging, compatible with various European languages, and full alignment with the latest ESEF (European Single Electronic Format) taxonomy. Achieving over 80% accuracy compared to human tagging, the Tagger Agent ensures reliable automation with necessary human oversight, enhancing compliance with updated ESEF regulations. This solution streamlines financial statement and disclosure tagging, ultimately facilitating automated validation and faster regulatory filings. Lucanet’s Tagger Agent marks a significant advancement in the digital reporting landscape for finance professionals.
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