With sustainability related reporting standards on the rise, it’s more important than ever for businesses to meet their ESG goals. It also remains a challenge. With pools of fragmented data tracking various goals – carbon emissions, water usage, waste management, and so on — sustainability teams struggle to manage data in a way that quickly generates meaningful insights about their company’s ESG performance.

The C3 AI ESG application accelerates time-to-insight by supporting three main ESG tasks: setting stakeholder-aligned goals, unifying data, and managing plan and project performance. And when combined with C3 Generative AI’s capabilities, the benefits of the ESG application are accessible through an intuitive, conversational interface that further streamline these three tasks.

Using C3 Generative AI, sustainability teams can measure their performance trajectory against their ESG goals. If underperforming, C3 Generative AI can recommend how to get back on track. Teams can conduct materiality risk assessments to see what issues are critical to address and learn how to mitigate risk. They can also ask about the sentiment of key stakeholders, such as investors, customers, and employees, and generate up-to-date summaries describing evolving stakeholder ESG priorities to accelerate time-to-insight for each group.

David Parham, lead product manager of C3 AI ESG, demonstrated the application during a webinar on C3 Generative AI for ESG. Parham shows how the application can be used to conduct a sustainability risk assessment for a steel company, where greenhouse gas emissions was categorized as a high-risk issue. An AI-generated summary explained why the issue was considered high-risk, and the potential impact if not addressed.

The AI-generated risk impact summary for greenhouse gas emissions on the C3 AI ESG application.

Not only did the ESG application generate summaries on potential areas of risk, but it also predicted which identified risks were most likely to occur; these are listed under the “Risk Likelihood” tab and proposed ways to mitigate risk under the “Opportunity” tab. When Parham wanted to verify the accuracy of these three generated summaries, he inspected the highlighted references that trace back to the sources of the generated information.

C3 Generative AI is the key to unlocking the full value of an enterprise’s ESG data. In one application, sustainability teams can access and analyze all relevant ESG data across the enterprise. With full accessibility to their data, teams can save time, condensing hours of work into a single search entry, and focus on the more complex, valuable tasks that drive the sustainability performance improvement of enterprises.


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