Monitor, Report, and Accelerate ESG Performance With AI​

Leverage AI to Operationalize ESG

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. The application leverages generative AI to draft reports and summarize changes in stakeholder sentiment and provides natural language search to rapidly access insights.​

Benefits

Reduce

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

Improve

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

Accelerate

ESG plans and goals in alignment with stakeholder priorities​

Key Capabilities

Native Support for All Major ESG Reporting Standards

• Align reporting objectives to stakeholder needs using the NLP-based materiality assessment
• Automatically map available data to widely supported voluntary reporting frameworks
• Create generative AI-powered report drafts and track progress on data dependencies to ensure reports are issued on time

Unified ESG Data

• Integrate across disparate enterprise systems to automatically ingest and unify data in a single platform​
• Designate a single source of truth to holistically review and analyze ESG performance
• Generative AI-enabled search surfaces relevant ESG performance insights

Scope 1, 2, and 3 GHG Emissions Management

• Automatically apply appropriate calculation methodology and map emission factor according to GHG protocol
• Move from averages to actuals with emissions maturity workflow to improve granularity of emissions data
• Pinpoint supplier hotspots and leverage intuitive workflows for seamless supplier emissions data requests and joint supplier projects

ESG Planning to Accelerate Commitments

• Create and manage ESG plans with scenario analysis and marginal abatement cost curve to accelerate goals
• Define projects to improve ESG performance and map projects back to enterprise-wide initiatives
• Explore scenarios to select the most capital efficient ways to deliver performance improvements

AI-Based Stakeholder Monitoring

• Leverage Natural Language Processing (NLP) to identify the highest priority ESG issues for stakeholders as they emerge
• Inform sustainability strategy with ESG issue importance insights
• Manage stakeholders proactively using weekly generative AI-powered summaries of ESG issue importance insights

Goal Setting and Real-Time Tracking

• Define quantitative performance goals and set time-based targets for priority ESG issues
• Track performance over time and leverage AI-driven recommendations to put initiatives back on track

Benefits for ESG Professionals

Head of Sustainability / ESG

Define sustainability strategy, set goals, manage plans, and engage priority stakeholders effectively.

Finance Professionals

Identify investor ESG priorities, easily access relevant data with a generative AI-powered natural language search interface, and meet investor informational needs.

ESG Reporting Manager

Manage ESG data, prepare reports in accordance with various frameworks, leverage generative AI-powered draft disclosures, and respond to stakeholder requests for data.

Emissions Data Owner​

Improve efficiency and specificity of Scope 1, 2, and 3 carbon accounting and identify key hotspots and opportunities to engage with suppliers.