Article
January 8, 2025

Preparing for CSRD Compliance with AI Agents

With the CSRD taking effect, companies face a growing need to collect, validate, and report sustainability data accurately. This includes tracking environmental risks, social impacts, and governance practices — all while ensuring data is audit-ready.

Key CSRD Requirements

  • Double Materiality: Reporting must consider both how a company impacts the environment and how sustainability risks affect the company financially.
  • Sector-Specific Standards: Metrics vary by industry and must be precise and verifiable.
  • Mandatory Assurance: Data must be auditable and aligned with standardized frameworks.

Manual processes struggle to meet these requirements, leading to inefficiencies, risk of non-compliance, and potential reputational damage.

How AI Agents Help

AI agents can do more than automate tasks — they enable organizations to manage sustainability data at scale:

  • Automated Data Workflows: Extract and structure data from unstructured documents, EPDs, and supplier reports.
  • Real-Time Updates: Monitor evolving regulatory standards and keep data aligned.
  • Strategic Insights: Highlight trends and opportunities for carbon reduction or operational improvement.

Human-AI Collaboration

AI agents don’t replace sustainability teams; they augment them. By handling repetitive data tasks, teams can focus on strategic decisions and long-term climate initiatives.

EandoX in Action

EandoX Copilot demonstrates this approach: automating EPD ingestion, validating supply chain data, and reducing reliance on manual data processing. The result is faster, more reliable reporting, and more time for teams to focus on impact and innovation.

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