AI Academy: Two Real ESG Workflows Saving Days of Manual Work

Two customers—the UK's Royal Mail and global learning company Pearson—share AI workflows they built with Watershed agents that replaced days of manual data work with repeatable tools—that their teams now use every week. Hear how Joshua Papachristidis from Pearson cut six days of annual data wrangling to minutes, catching errors manual review missed, and how Emma Bayliss-Chan from Royal Mail built a carbon impact calculator that puts emissions data into every qualifying procurement decision in under five minutes.

Attendees will learn:

• How to use AI to standardize messy, multilingual emissions data and flag anomalies automatically.

• How Royal Mail embedded carbon impact into procurement decisions and tender evaluations for the first time.

• How both teams created audit-ready documentation as a byproduct of their workflows, not an extra step.

If you can't attend live, register to receive the recording.