Lucanet has released the market's first Tagger Agent for Extensible Business Reporting Language (XBRL) reporting for the upcoming reporting season.
“Tagger Agent, the industry's first comprehensive narrative tagging agent, addresses XBRL's most challenging bottleneck: manual page-by-page tagging of financial statement notes,” said Janis Steinmann, head of XBRL at Lucanet. “By combining a deep understanding of the context of financial narratives with a multi-agent approach, we are providing finance teams with tools that increase tagging accuracy, reduce repetitive tasks, and allow professionals to focus on validation and control rather than tedious tagging. This is a game-changer for reporting efficiency and quality.”
Important points:
· Tagger Agent uses a multi-agent AI architecture to tag narratives, tag numeric tables, create extensions, and generate computational link bases in parallel, turning expert processes that take days into automated workflows that take minutes or hours, while maintaining human oversight for final validation.
· Optimized for European reporting obligations, the solution supports multiple languages including English, German, Swedish, Italian, and Spanish, and is fully compliant with the latest ESEF (European Single Electronic Format) taxonomy.
· Lucanet's Tagger Agent leverages a multi-agent AI architecture to deliver over 80% accuracy compared to human-tagged reports. This ensures reliable automation while allowing for human oversight if required.
· ESEF has introduced a block tagging obligation for financial statement notes for financial years starting from January 2022 onwards. Subsequent updates implemented in early 2025 included the use of the latest ESEF taxonomy, more granular block tagging, stricter validation rules, and updated anchoring requirements, making enhanced automation processes for XBRL reporting more relevant for finance teams, especially ahead of reporting season. XBRL is a global or true digital financial and sustainability report that enables the tagging of financial and business data in a machine-readable manner, enabling automated validation, clearer comparability, and faster regulatory filing.
· The XBRL Tagger solution streamlines and automates tagging of financial statements and disclosures.
