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:

• A software application that scans printed reports, extracts ESG data and translates that data into xbrl language, allowing the information to be used in financial analysis, and
• A Secure ESG Reporting Network based on Digital Ledger Technology (Blockchain) that allocates non-fungible tokens (NFTs) for uploading and securing reports, requesting and permitting access to data, and providing data dashboards to aid the integration of ESG data into financial considerations.

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.