Monitor, Report, and Accelerate ESG Performance With AI​


C3 AI ESG enables companies to manage and improve their ESG (environmental, social, and governance) performance with advanced machine learning, natural language processing (NLP) and generative AI techniques. Customers can utilize C3 AI ESG to unify and store disparate ESG data as ESGbitsTM, automate reporting to standards, boost specificity and traceability of carbon emissions calculations, track stakeholder ESG priorities, and manage ESG plans with scenario analysis.​

View Data Sheet



time and resources required for ESG reporting and GHG emissions calculation​


accuracy and transparency of GHG emissions calculations and ESG performance data​


ESG plans and goals in alignment with stakeholder priorities​

AI-Based ESG Management

Pain point
C3 AI ESG Solution

Error prone data management due to fragmented ESG data across systems​

Unified ESG data across disparate enterprise systems as ESGbitsTM provides single source of truth and robust data lineage and auditability reduces compliance risk​

Difficulty tracking priority ESG issues across critical stakeholders

AI-based stakeholder monitoring tracks perception in near real-time to identify material ESG issues and reduce risk​

Tedious process to perform GHG emissions calculations​

Automated Scope 1, 2, and 3 emissions calculation according to the GHG Protocol including NLP-based fuzzy matching to select the appropriate emission factor ​

Inability to track progress against enterprise ESG goals​

Goal setting and real-time tracking helps achieve enterprise ESG targets​

Difficulty keeping up with rapidly evolving reporting requirements​

Native support for all major ESG reporting standards streamlines reporting across multiple frameworks​

Inconsistent process to centralize strategic planning and risk management on key ESG goals and commitments​

Plan management and optimization workflows including marginal abatement cost curve facilitate centralized planning and risk management​

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