It’s really exciting to see this conversation happening—AI absolutely has the potential to transform how ESG teams operate. That said, ESG is such a broad space, and AI could be applied in so many ways—from emissions tracking to supply chain transparency to regulatory reporting.
Our team has been exploring how AI can support ESG efforts, but what we’re still trying to understand is: where exactly can we help the most? If you’re part of an ESG team or working in this space, we’d love to hear—what’s one challenge you think AI could genuinely make easier?
What’s the most time-consuming part of your ESG workflow?
Finding The Right Templates
Benchmarking Peer Performance
Conducting Double Materiality
Inconsistent Supplier Data
I think that the best work AI can do for as is small tasks like having 2 or 3 assistances. And content especially if the idea is your but you need to write it in a proper way, formal, professional etc.