Webinar Replay: How AI is Transforming ESG Ratings Amid Regulatory Challenges
October 22, 2024
•
5 mins read
In our latest webinar, "How AI is Transforming ESG Ratings Amid Regulatory Challenges," SESAMm’s CEO and Co-founder Sylvain Forté and Julia Haake, Head of ESG Rating Agency at EthiFinance explored how artificial intelligence is reshaping the way ESG ratings are developed in the face of increasing regulatory pressures. The session focused on AI's transformative role in improving the accuracy, transparency, and efficiency of ESG ratings while navigating the complex regulatory environment in the EU and UK.
Key Takeaways
Upcoming ESG Regulations: New EU and UK rules emphasize transparency in ESG rating methodologies and conflict of interest management, impacting how rating providers operate.
AI’s Role in ESG Ratings: AI is transforming ESG ratings by analyzing vast amounts of unstructured data, improving coverage, and enhancing accuracy for small and mid-sized companies.
Addressing ESG Data Gaps: AI enables more comprehensive data collection and helps fill gaps, especially in regions and industries with limited reporting.
CSRD and ISSB Frameworks: These new standards are driving data standardization in Europe, with AI helping organizations adapt to evolving regulatory requirements.
Eureden is a large farmer‑owned French agri‑food co‑operative headquartered in Brittany, combining upstream agricultural inputs and advice with downstream vegetables, eggs, meat/charcuterie, dairy, retail chains and labs across roughly 40 industrial sites in France, Germany, Spain and Hungary and generating about €3.7–3.8bn in annual revenue, according to its website and latest integrated report.
Eureden’s main ESG risks stem from legacy health‑and‑safety failings at Triskalia/Nutréa pesticide and feed sites, where French courts repeatedly recognised work accidents and occupational diseases as due to the employer’s “inexcusable fault” in pesticide‑exposure cases, including a worker suicide linked to workplace conditions, alongside other labour tensions, recurring though mostly precautionary food and allergen recalls, an environmental enforcement order against an ICPE site, and structural exposure to climate, biodiversity, animal‑welfare and chemical‑use risks from intensive livestock, pesticides and Seveso‑classified storage. At the same time, the company reports a relatively advanced CSR framework, high levels of external certifications (100% of industrial sites under at least one food‑safety/quality standard), externally assured integrated reporting with group‑wide ESG KPIs, CSR‑linked financing and programmes on pesticide reduction, non‑deforestation soy, climate, water and waste, while stating alignment with UN Global Compact principles without being a listed signatory; no international sanctions listings or OECD complaints involving Eureden were identified in public sources.
Reach out to SESAMm
SESAMm's web data analysis of over five million public and private companies is essential for keeping tabs on ESG investment risks. To learn more about how you can analyze web data or to request a demo, reach out to one of our representatives.
Paris, France – 24 février 2026 – SESAMm, leader mondial des données de controverses ESG et réputationnelles, annonce le renouvellement de son partenariat avec le Crédit Mutuel Arkéa, initié en janvier 2023, pour le renforcement de l’évaluation et du suivi des risques ESG au sein de ses activités d’achats et d’investissement.
Depuis le début de cette collaboration, Crédit Mutuel Arkéa s’appuie sur la plateforme SESAMm pour analyser les risques environnementaux, sociaux et de gouvernance liés à ses fournisseurs, partenaires et participations. Grâce à des données de controverses ESG fondées sur l’intelligence artificielle, il est possible d’identifier notamment les manquements réglementaires, incidents environnementaux, risques sociaux, atteintes aux droits humains, cas de corruption et autres risques réputationnels.
Dans le cadre de ce partenariat renouvelé, SESAMm poursuit cet accompagnement, à la fois lors des appels d’offres et dans le suivi continu des tiers, ainsi que pour l’analyse des dossiers d’investissement et la surveillance quotidienne du portefeuille, complétées par des synthèses hebdomadaires des controverses ESG.
Ce renouvellement de confiance confirme la valeur ajoutée des analyses de SESAMm pour renforcer la cohérence, la réactivité et la robustesse des processus de due diligence et de gestion des risques ESG du Crédit Mutuel Arkéa.
In theory, a portfolio with no ESG controversies signals low risk. In practice, experienced analysts treat it as a warning sign. The absence of alerts often reflects not resilience, but limited coverage, fragmented data, or incomplete aggregation. What looks like reassurance may instead point to a gap in visibility.
This dynamic matters more than ever as private market due diligence intensifies. With fewer deals, longer holding periods, and higher selectivity, investors are spending more time scrutinizing assets before acquisition and monitoring them for longer after entry. Yet the informational foundation behind many ESG assessments has not caught up with these expectations.
When "No Data" Becomes "No Risk"
Private assets operate under persistent disclosure constraints. Unlike public companies, most private firms do not produce standardized, recurring ESG disclosures, nor do they benefit from consistent analyst coverage. These gaps are structural and unlikely to disappear in the near term.
In this context, silence is ambiguous. A clean ESG screen may indicate the absence of material issues, but it may just as easily signal that no relevant information was captured. Language limitations, fragmented sources, and uneven coverage across geographies and asset types all contribute to this uncertainty.
This dynamic is particularly visible in secondary transactions. Deal teams often need to assess large portfolios under tight time pressure, with limited access to management and incomplete identifiers. In such cases, relying on the absence of signals can create false confidence rather than reduce risk.
How Weak Coverage and Duplicated Signals Create Blind Spots
Even when information exists, it is not always immediately actionable. Adverse media has become a valuable substitute where structured ESG data is limited, offering outside-in visibility into private assets. However, it is not without challenges. Without robust aggregation and cross-language consolidation, the same issue can appear repeatedly across multiple articles, jurisdictions, and languages, creating duplication rather than clarity. At the same time, gaps in coverage or weak filtering can allow other material risks to go undetected.
At the same time, some portfolios appear unusually quiet simply because the underlying assets fall outside the scope of traditional datasets. ESG and reputational expectations in private markets remain fragmented, with bespoke workflows driven by LP-specific requirements. This lack of convergence makes it difficult to distinguish between genuinely low exposure and analytical gaps.
More data does not automatically resolve this problem. Without traceability, source quality, and a way to assess financial, legal, or operational materiality, increased volume can add noise without improving decisions. In that environment, silence can be just as misleading as signal overload.
What Meaningful ESG Visibility Looks Like Under Disclosure Constraints
A core takeaway from the webinar was that point-in-time ESG assessments are no longer fit for purpose in private markets. A single diligence exercise conducted at entry cannot capture emerging governance failures, litigation, reputational issues, or supply chain risks over multi-year holding periods.
Instead, meaningful ESG visibility combines three elements:
Broad coverage, to avoid portfolios appearing "low risk" simply because assets are not captured.
Aggregation and severity assessment, to separate isolated news from controversies with real financial or operational implications.
Continuous monitoring, so the original risk thesis evolves as new information emerges rather than remaining static.
This approach reframes ESG from a compliance exercise into a source of informational advantage. Rather than concluding that no alerts mean no risk, investors use ESG signals to guide follow-up questions, prioritize deeper diligence, and identify issues that were not visible at entry.
Replacing False Comfort with Informed Uncertainty
Private markets will continue to operate with imperfect information. Disclosure gaps, opaque supply chains, and bespoke reporting demands are inherent to the asset class.
Treating “no issues detected” as a conclusion creates false comfort. Treating it as a hypothesis, contingent on coverage quality and monitoring depth, aligns ESG analysis with how risk actually emerges in private assets.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
Stay ahead with the latest in ESG and AI intelligence
Join our mailing list to receive new reports, event invites, and updates from SESAMm directly to your inbox.