Automated ESG Reporting for a Global Chemical Manufacturer
Engagement Context
A global carbon black leader wanted to balance its
carbon-intensive operations with ambitious sustainability targets. By implementing an automated ESG reporting framework with 60+ KPIs, we helped them achieve audit-ready compliance, improved safety by 40%, and deeper strategic visibility into ESG data.
Goals
Our ESG experts understand that for energy-intensive sectors, the ability to measure, reduce, and transparently communicate progress is critical to long-term viability. Moreover, organizations with credible ESG reporting frameworks gain preferential access to green financing, stronger customer loyalty, and better talent retention.
So, we built a digitally enabled ESG reporting framework that integrated data across the client’s global operations and transformed it into actionable insights.
Solution Approach
Our ESG experts understand that for energy-intensive sectors, the ability to measure, reduce, and transparently communicate progress is critical to long-term viability. Moreover, organizations with credible ESG reporting frameworks gain preferential access to green financing, stronger customer loyalty, and better talent retention.
So, we built a digitally enabled ESG reporting framework that integrated data across the client’s global operations and transformed it into actionable insights.
Value Delivered
Within just 3 months, the client realized measurable benefits
- Automated reporting reduced manual effort and accelerated compliance cycles.
- Analytical visibility enabled proactive safety interventions, resulting in a 40% reduction in TRIR in FY24.
- Clear breakdown of Scope 1, 2, and 3 emissions and energy intensity allowed the client to track progress against 2030 targets.
- Audit-ready sustainability reports.
- Seamless ingestion from ERP, EHS systems, IoT sensors, and supplier databases.
- ~45 KPIs delivered in the first 3 months, expanding to 60+ KPIs spanning People, Environment, Suppliers, and Materials.
- Every reported metric linked back to its source data, ensuring transparency.