Emissions Data Extraction

Emissions Data Extraction uses AI to perform extraction on utility invoices, fuel receipts, travel records, meter downloads, and equipment logs, enabling more complete GHG inventory data collection, by identifying activity quantities, units, dates, entities, and source documents from unstructured and semi-structured inputs, across GHG inventory and carbon accounting workflows.

Carbon accounting teams collect activity data from invoices, spreadsheets, system exports, and email attachments across many cost centres and sites. Manual data extraction creates errors, delays, and weak audit trails that complicate assurance and restatement.

The AI performs extraction on emissions source documents and records and produces structured activity quantities, units, reporting periods, entities, and document references. The output is reviewed and loaded into carbon accounting workflows.

The primary metric is emissions data collection cycle time; the target direction is lower cycle time and higher data completeness before GHG inventory close.

• •Emissions source documents including invoices, meter downloads, fuel records, and travel logs are available in digital form.
• •Carbon accounting or ESG data platforms can ingest extracted activity records with source references.
• •GHG boundary, activity categories, and review ownership are defined for each emissions source.