Business Situation
A leading investor-focused sustainability initiative sought to enhance transparency and accountability across the global protein sector by evaluating the ESG performance of major meat, dairy, and aquaculture producers.
The objective was to:
- Assess companies against critical sustainability risks, including climate change, water scarcity, deforestation, biodiversity, animal welfare, and food safety
- Establish a consistent and comparable benchmarking framework across global protein producers
- Distinguish industry leaders from organizations with limited evidence of sustainability progress
- Provide investors with data-driven insights into ESG risks that could impact long-term business resilience and value creation
Variations in sustainability disclosure practices across global markets made it difficult to assess reporting quality consistently. The client required a solution that could deliver objective, evidence-based evaluations at scale.
SGA Approach
SGA supported the benchmarking initiative through a combination of technology-enabled research, structured ESG analysis, and expert-led assessment.
Benchmark Framework Assessment
- Evaluated leading protein producers against a comprehensive set of ESG indicators spanning environmental, social, and governance themes
- Assessed company disclosures related to climate strategy, water stewardship, deforestation commitments, biodiversity management, animal welfare practices, and responsible sourcing
- Reviewed sustainability reports, annual reports, policies, targets, and publicly disclosed supporting evidence
Technology-Enabled Evidence Discovery
- Leveraged AI-powered document intelligence to process large volumes of corporate disclosures across multiple sources
- Automated the identification, extraction, and tagging of relevant evidence against predefined benchmark indicators
- Used AI-driven semantic search capabilities to surface disclosures related to key sustainability themes and performance metrics
- Consolidated information from multiple sources into a structured review environment, improving research efficiency and coverage
- Enabled analysts to focus on assessment, interpretation, and validation rather than manual data collection
Expert-Led Benchmarking & Validation
- ESG specialists reviewed all AI-identified evidence to assess disclosure quality, completeness, and credibility
- Applied a structured 1–4 scoring methodology across benchmark indicators to evaluate company performance
- Validated supporting evidence, resolved ambiguous disclosures, and ensured consistency across assessments
- Conducted multi-level quality reviews to maintain benchmarking rigor and comparability across global companies
Key Takeaways
Benchmark Transparency: Established a standardized assessment framework that enabled direct comparison across global protein producers and sustainability themes.
Risk Visibility: Identified material ESG risks related to water scarcity, deforestation, biodiversity loss, climate exposure, and supply chain resilience.
Evidence-Based Scoring: Applied a rigorous 1–4 rating methodology supported by documented evidence and structured assessment criteria.
Intelligent Research: Leveraged AI to accelerate evidence discovery, indicator mapping, and disclosure analysis, while ESG specialists ensured robust and defensible scoring outcomes.
Investor Insights: Delivered actionable benchmarking intelligence that helped investors identify sector leaders, laggards, and emerging sustainability risks across the protein value chain.
