AI CSO
The Regulatory Knowledge Layer
Embedded in Your Platform.
A governed AI layer for sustainability decision-making. Framework guidance, anomaly detection, disclosure drafting, and regulatory interpretation — grounded in proprietary compliance data, not a generic LLM.
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Generic large language models hallucinate regulatory requirements. They confuse ESRS E1 with GRI 305. They misquote CBAM implementing regulation thresholds. They produce plausible-sounding answers to methodology questions that are simply wrong.
Emissions calculations require deterministic methodology, not probabilistic generation. An AI layer in a compliance context must be grounded in verified data — and every output must be traceable to a source.
The AI CSO runs on a RAG architecture grounded in eucarbon's proprietary regulatory corpus: CSRD full text, GHG Protocol methodology documentation, CBAM implementing regulations, GRI standards, IPCC AR6 emission factor rationale, and four years of client disclosure experience.
Every output cites its source. Hallucination guardrails prevent the system from generating answers outside the verified corpus. Anomaly detection flags data inconsistencies before they reach disclosure.
