Case studies
July 26, 2026

Interos - Navigating ESG Risk: Enhancing Supply Chain Transparency

Challenge

As regulations evolve, businesses face increasing pressure to align sustainability with financial and operational strategies. However, the lack of standardised data and transparent supply chain assessments leaves many organisations vulnerable to compliance failures, reputational damage, and financial risk across their supply chains.

Solution

To address these challenges, Interos, in partnership with ESG Book, have developed an advanced ESG risk model designed to provide transparency, traceability, and verified sustainability data. Interos used ESG Book's disclosure platform to expand its ESG insights beyond public companies, engaging private firms through a custom framework. This enabled Interos' customers to efficiently enhance supply chain coverage while reducing time and costs.

Key Features

Comprehensive Metrics
Covering Scope 1, 2, and 3 emissions, forced labour policies, supplier oversight, and product safety.

Multi-Source Data
Integrating diverse datasets for deeper, context-rich risk assessments.

Enhanced Risk Insights
Evaluating emissions, diversity, labour practices, and foreign ownership to mitigate disruptions.

Supply Chain Visibility
Monitoring sub-tier risks to strengthen supplier resilience and regulatory compliance.

Customisable Frameworks
Mapping sustainability data to global standards, including private companies often excluded from assessments.

The Outcome

With an enhanced sustainability risk model, businesses turn challenges into competitive advantages while minimising resources. Transparent, traceable, and verified data strengthens compliance, reduces exposure to sustainability risks, and boosts investor and stakeholder confidence - driving long-term resilience and growth.

By integrating data driven ESG considerations into operational strategies, organisations can safeguard their financial performance and reputation, while also addressing the profound human impact. — Andrea Little Limbago, SVP Applied AI, Interos

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