Lucanet Unveils AI Agents to Automate Finance and Tax Processes

This solution combines 25-plus years of finance and tax expertise with cutting-edge AI agents to automate high-friction, high-frequency workflows.

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Lucanet launched a family of AI agents designed to automate critical finance and tax processes across planning, closing, reporting and ESG.

"We are steering through a pivotal moment in finance and tax work, defined by ongoing vendor consolidation and the deep integration of AI across the entire office of the CFO," says Elias Apel, CEO at Lucanet. "We’re solving this complexity by empowering financial leadership with intelligence, speed, and confidence. We are enabling a new standard of fast, clear, and strategic decision-making, paving the way toward autonomous finance and tax." 

Key takeaways:

·      The launch transforms Lucanet’s core offering into the intelligent CFO Solution Platform, representing a paradigm shift in how mid-market and enterprise finance and tax teams manage their end-to-end workflows. 

·      This solution combines 25-plus years of finance and tax expertise with cutting-edge AI agents to automate high-friction, high-frequency workflows.

  • The Analyst Agent performs detailed variance and driver analysis across financial and operational data, surfacing detailed insights and helping to reduce the monthly reporting cycle time.
  • The Close Agent accelerates and automates the complexities of the financial close process, automating month-end data imports and validation.
  • The Modeler Agent allows complex financial and operational models to be rapidly built using natural language.
  • The Tagger Agent elevates Lucanet’s XBRL and regulatory tagging capabilities to a fully autonomous level, reducing the effort needed for XBRL tagging by up to 95%.
  • The Report Agent drafts, enhances, and translates annual reports and checks consistency of language.
  • The ESG Emission Agent generates greenhouse gas (GHG) footprints up to 5 times faster than manual processes. 

·        These specialized agents are orchestrated through Lucanet Lume, the platform’s conversational layer, which serves as a single-entry point where users describe what they need in natural language, and the system intelligently routes the task to the appropriate agent.  

"AI is probabilistic in nature and so not suitable to perform deterministic calculations, but it is exceptionally good at reasoning, interpreting, and explaining," says Kevin Smith, CTO at Lucanet. "That’s why on the intelligent CFO Solution Platform, the division of labor is clearly separated: The core platform handles deterministic calculations in the context of local regulations and standards such as GAAPs, IFRS, ESEF, CSRD, and Pillar 2, while the AI layer manages reasoning, interpretation, and natural language explanation. Ultimately, intelligence inside finance and tax must be trustworthy, traceable, and defensible in front of an auditor." 

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