Carbon Data Meets Agentic AI: Introducing Persefoni Analytics Agent

Across functions, AI agents are changing how teams work with data. The expectation is no longer just to view data, but to interact with it — ask follow-up questions, refine assumptions, generate outputs, and move from curiosity to insight in the flow of work. Carbon data is no exception.

As climate programs mature, sustainability teams need a better way to access, query, and interact with their data, embedded directly in the AI and agentic workflows where work is already happening.

That's what Persefoni Analytics Agent was built for. Embedded directly in the platform, it gives sustainability teams a way to interact with their emissions data — ask questions, surface drivers, generate custom charts and tables — all within the trusted system of record they already use for carbon accounting. 

In this session, Climate Solutions Director John MacKinnon and Staff Data Scientist Elizabeth Shope will cover how Analytics Agent works, the science behind the build and how security and data integrity are baked in from the ground up, and what it looks like in practice. 

‍

What you'll learn:

• What Analytics Agent is and the analytical gaps it was built to address
• How the team approached the build, and the data decisions behind accuracy, performance, and scale
• How security, auditability, and governance are built into the architecture
• What prompting Analytics Agent looks like in practice — and the kinds of questions it can answer
• Where Analytics Agent fits into a maturing carbon accounting workflow