Finance teams are increasingly responsible for ESG reporting, a discipline most were never trained for. Matching consumption data to the right emission factors across every scope has historically required specialist taxonomy knowledge.
In this session, we'll demo uploading consumption data and watching the Emission Agent auto-map it to the correct emission factors across Scope 1, 2, and 3, each with a confidence score and an easy human override where judgment is needed.
The payoff: this generates full carbon footprints up to five times faster than manual creation, right as CSRD reporting deadlines put finance teams under real pressure.
Like all Lucanet workflow agents, the ESG Emission Agent runs on Lucanet Lume, the conversational layer that connects you to the right agent with a single question, and on Lucanet's Intelligence Core, the trust architecture behind it. That means your data stays in your chosen region, every action is logged, and your team reviews and approves every output before it's finalised.