Business Situation
A leading Australian corporate group sought to establish a consistent and comparable view of ESG performance across multiple regulatory and voluntary frameworks.
The client aimed to:
- Benchmark ESG disclosures across IFRS S1 & S2, CSRD, CDP, and GRI
- Identify overlaps, gaps, and inconsistencies across frameworks
- Streamline reporting while improving performance in external disclosures and assessments
- Enable a unified ESG data architecture to support multiple reporting requirements
However, varying framework requirements, duplicate indicators, and inconsistent disclosures created significant reporting complexity and limited comparability across peers.
SGA Approach
SGA delivered a cross-framework ESG intelligence solution, combining structured mapping with AI-enabled data processing and expert-driven interpretation.
Framework Assessment and Benchmark Design
- Engaged with stakeholders to define benchmarking scope, peer universe, and applicable frameworks
- Assessed readiness across IFRS S1 & S2, CSRD, CDP, and GRI
- Defined benchmarking structure across ‘Environmental, Social, and Governance’ dimensions
AI-Enabled Data Mapping and Harmonization
- Collected and structured ESG disclosures across 4+ frameworks
- Mapped 300+ ESG indicators, identifying overlaps and framework-specific requirements
- Leveraged AI to classify, tag, and align disclosures across frameworks at scale
- Applied Human-in-the-Loop validation, where domain experts resolved overlaps, interpreted nuanced disclosures, and ensured alignment accuracy
- Built a standardized, cross-framework ESG dataset with full traceability
Benchmarking and Insight Generation
- Benchmarked ESG performance across peer groups and frameworks
- Identified disclosure gaps, strengths, and inconsistencies
- Delivered comparable, mapped datasets to support reporting, benchmarking, and stakeholder communication
- Enabled audit-ready outputs with clear lineage across frameworks
Key Takeaways
Unified View: Enabled a consolidated ESG performance view across IFRS, CSRD, CDP, and GRI frameworks.
Complexity Reduction: Reduced reporting complexity by mapping 300+ indicators into a unified structure.
Benchmark Accuracy: Improved benchmarking precision through standardized, cross-framework comparable datasets.
AI Harmonization: Leveraged AI-driven mapping with expert validation to ensure both scale and contextual accuracy.
Scalable Insights: Delivered audit-ready benchmarking insights across 130+ companies, supporting reporting and performance improvement.
