Lucanet launches market-first AI Tagger Agent for XBRL reporting
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Available now, the company’s Tagger Agent is the first in-market AI agent capable of comprehensive XBRL narrative tagging, automating the most time intensive part of the compliance process for financial reporting.
The Tagger Agent uses multi-agent AI architecture that enables over 80% accuracy compared to manually-tagged reporting.
Supporting multiple languages, Lucanet’s Tagger Agent is built for ease of compliance with European reporting mandates.
Lucanet, a leading global provider of Office of the CFO software solutions, today announced the launch of a market-first Tagger Agent for XBRL (Extensible Business Reporting Language) reporting for the upcoming reporting season.
The Tagger Agent uses a multi-agent AI architecture to perform narrative tagging, numeric table tagging, extension creation and calculation link base generation in parallel, turning a days-long expert process into an automated, minute or hours long workflow while preserving human oversight for final validation.
Optimized for European reporting mandates, the solution supports multiple languages including English, German, Swedish, Italian, and Spanish, and fully aligns with the latest ESEF (European Single Electronic Format) taxonomy. Designed to streamline compliance processes, it empowers finance teams to complete workflows faster and with greater accuracy and consistency.
Lucanet’s Tagger Agent leverages a multi-agent AI architecture to deliver over 80% accuracy when compared to human-tagged reports. This ensures highly reliable automation while still allowing for human oversight when needed. Unlike solutions that act merely as copilots or demand heavy manual input, the Tagger Agent is purpose-built to fully automate narrative tagging at scale - eliminating repetitive tasks and accelerating reporting without compromising quality.
“As the industry’s first comprehensive narrative tagging agent, the Tagger Agent addresses XBRL’s toughest bottleneck, which is the manual, page-by-page tagging of financial statement notes,” said Janis Steinmann, Head of XBRL at Lucanet.
“By combining deep understanding of financial narrative context with a multi-agent approach, we’re giving finance teams a tool that increases tagging accuracy, reduces repetitive work, and lets experts focus on validation and controls rather than tedious tagging. This is a step change for reporting efficiency and quality” added Steinmann.
The launch of the Tagger Agent builds on Lucanet’s GenAI capabilities first released last year, and marks another step forward in Lucanet’s drive to enhance its CFO Solution Platform with intelligence, integrating advanced agentic automation across planning, consolidation and reporting. By embedding AI into the compliance workflow, Lucanet enables CFOs and finance teams to reduce manual work and move toward a fully connected, intelligent reporting ecosystem, delivering speed, accuracy and confidence in every filing.
The ESEF introduced a block tagging mandate for notes to financial statements for fiscal years starting on or after January 2022. The subsequent updates implemented at the start of 2025, included using the latest ESEF taxonomy, even more granular block-tagging, stricter validation rules and updated anchoring requirements, making the enhanced automation process of XBRL reporting even more relevant for finance teams, particularly ahead of reporting season.
XBRL is the global or true digital financial and sustainability reporting, enabling tagging financial and business data in a machine-readable way, enabling automated validation, clearer comparability? and faster regulatory filings.
The Lucanet XBRL Tagger solution streamlines and automates the tagging of financial statements and disclosures, reducing manual effort and errors, ensuring adherence to evolving taxonomies and regulatory requirements, and accelerating the reporting cycle. With intuitive tagging, built-in validation and direct export to XBRL/iXBRL formats, Lucanet helps finance teams produce reliable, audit ready filings faster while improving transparency and comparability for investors, auditors? and regulators.
To learn more about Lucanet’s XBRL Tagger visit: https://www.lucanet.com/en/solutions/xbrl-tagger/
Lucanet is the CFO Solution Platform built for modern finance leaders to automate processes including consolidation and financial planning, extended planning and analysis, disclosure management, ESG reporting, lease accounting, tax compliance and reporting, and banking and cash management. More than 6,000 companies around the world rely on our easy-to-use and out-of-the-box SaaS platform to help them lead with ease by managing their strategic and reporting needs with speed and accuracy.
The company is headquartered in Berlin with additional offices in Germany, Austria, Switzerland, the Netherlands, Belgium, Spain, France, Italy, the United Kingdom, China, Singapore, and the United States. Together with an international partner network, Lucanet’s professional service team and 900+ employees worldwide focus their passion and expertise on the performance and success of the CFO office.
Unternehmensinformation / Kurzprofil:
Lucanet is the CFO Solution Platform built for modern finance leaders to automate processes including consolidation and financial planning, extended planning and analysis, disclosure management, ESG reporting, lease accounting, tax compliance and reporting, and banking and cash management. More than 6,000 companies around the world rely on our easy-to-use and out-of-the-box SaaS platform to help them lead with ease by managing their strategic and reporting needs with speed and accuracy.
The company is headquartered in Berlin with additional offices in Germany, Austria, Switzerland, the Netherlands, Belgium, Spain, France, Italy, the United Kingdom, China, Singapore, and the United States. Together with an international partner network, Lucanet’s professional service team and 900+ employees worldwide focus their passion and expertise on the performance and success of the CFO office.
Datum: 09.12.2025 - 12:14 Uhr
Sprache: Deutsch
News-ID 730144
Anzahl Zeichen: 5585
contact information:
Contact person: Alexandra Santos
Town:
Berlin
Kategorie:
Manufacturing & Production
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