Carbon Footprint Measurement
AI-powered tools can now calculate Scope 1, 2, and 3 emissions in real time, tracking emissions across complex supply chains with precision that was previously impossible. This data forms the backbone of credible net-zero commitments and regulatory reporting.
- Scope 1, 2, and 3 emissions calculation in real time
- Complex supply chain emissions tracking at scale
- Science-based targets supported by verifiable data
- Regulatory reporting aligned with TCFD and BRSR frameworks
Supply Chain Due Diligence
Machine learning models analyse supplier data to flag human rights risks, environmental violations, and governance failures — enabling proactive intervention before reputational damage occurs. This is becoming standard practice for responsible corporate procurement.
- Human rights risk flags in supplier networks
- Environmental violation monitoring across supply chains
- Governance failure detection through automated analysis
- Proactive intervention before reputational damage
ESG Reporting Automation
Natural language processing tools can now auto-generate compliant ESG reports from raw operational data, dramatically reducing the time and cost of regulatory reporting. Dev Support helps organisations build the data infrastructure and reporting frameworks needed to harness these technologies.
- Auto-generation of ESG reports from operational data
- Compliance with BRSR, GRI, and SASB standards
- Reduced time and cost of annual sustainability reporting
- Integration with existing ERP and data management systems