Scope 3 Emissions: The Hardest Problem in ESG (and How AI is Solving It)

About the Webinar

Scope 1 and 2 are solved problems. Scope 3 is where every ESG reporting program hits a wall supplier of data that doesn't exist, estimates that don't hold up under audit, and a mid-market squeeze where the compliance clock is running whether the data infrastructure is ready. As disclosure requirements extend further down the value chain, "we don't have the data" stops being an acceptable answer.

This webinar tackles Scope 3 head-on: the real reasons it's the hardest problem in ESG reporting, and how AI-driven data collection and validation are closing the supplier data gap without requiring a multi-year data overhaul first.

What You’ll Learn

  • Why do supplier data gaps persist even at organizations with mature ESG programs and what's actually closing them.
  • How AI-driven estimation methods can fill verified gaps in supplier data while staying audit-defensible.
  • Practical steps for validating Scope 3 data before it reaches your disclosure catching the errors before assurance does.

Ready to solve your hardest ESG problem?

Get a practical path through Scope 3 supplier data, estimation, and audit challenges built for teams facing the clock.