The Challenge
Sustainability leaders and compliance teams struggled with complex ESG regulations (CSRD, ESRS), heavy manual compliance burden for data gathering and reporting, lack of real-time visibility into environmental and social performance, and high audit risk due to scattered data across different tools.
Our Solution
AI-powered compliance assistant automating ESG reporting and sustainability processes:
AI-Driven Gap Detection
Automatically compares disclosures to requirements and aligns financial and environmental impacts. Uses Semantic Analysis and Graph Databases (Neo4j) to instantly map company data against thousands of regulatory nodes. It doesn't just "search"—it understands the context of "Impact, Risk, and Opportunity" to identify missing disclosures in seconds.
Multi-Agent Architecture
Rather than a simple chatbot, we use a multi-agent architecture. Specialized AI agents use Function Calling to interact with existing ESG disclosures and databases, autonomously filling missing data points or generating checklists without human intervention.
Agentic RAG with Chain-of-Thought
Built on LlamaIndex, the system employs Chain-of-Thought (CoT) reasoning. The AI doesn't just retrieve text; it cross-references internal documents with ESRS mandates, verifying facts and providing "source-cited" evidence for every claim.
Dynamic Reassessment
Enables real-time updates as business data or regulations evolve. Utilizing Azure Functions, the system monitors for data changes. If a new regulation is published or internal data shifts, the agents automatically trigger a reassessment.
Technology Stack
Impact Delivered
Eliminates manual, error-prone data gathering
Continuous visibility into ESG performance
CSRD/ESRS compliant reports with evidence
Quickly adjusts to evolving regulations