From utility invoice to disclosure-ready emissions data
How AI-assisted ingestion can reduce manual ESG entry while keeping humans in control of the ledger.
Utility and fuel invoices are among the most common sources for Scope 1 and Scope 2 emissions reporting. They are also a source of manual effort, transcription errors, and missing evidence when teams rely on spreadsheets.
AI-assisted ingestion can help by extracting vendor, facility, period, activity, quantity, unit, and invoice metadata. The important control is that extraction should not become automatic compliance.
Origin keeps a human review step between extraction and ledger entry. Reviewers can see confidence scores, confirm emission factor mapping, and reject records that do not meet evidence expectations.
The result is a faster path from invoice to ESG activity data, with the evidence chain preserved for future reporting and review.