In recognition of the critical challenges to collecting, storing, assuring and distributing true ESG data internationally, Team Zabel presents an AI Based Automated PDF to XBRL Solution and A Secure ESG Reporting Network.
Our submission demonstrates:
Designed as open source, the software accommodates extensible hybrid taxonomies both for financial reporting and ESG data.
Our Proof of Concept includes scanned information and data from three German industries and focuses initially on Scopes 1, 2 and 3 GHG Emissions. A short-hand method is also presented
The prototype ESG Secure Reporting Network, develop specifically for this competition, is functional and open for reviewers to experience the ease and efficiency of the integrated platform. Extensive additional material is provided to aid a critical analysis of our proposal and guide referees’ involvement.