Purpose:
Automatic creation of high-quality data for greenhouse gas accounting and reporting
Users:
Suppliers reporting on volume and categories of resources and materials (desktop)
Administrators managing reporting frameworks, access control, and submitted reports (desktop)
Core features:
Auto-completion of data entry backed by ChatGPT, based on uploaded sustainability reports
Auto-grouping of information (e.g., invoice line items)
Lookup in environmental and sustainability records
Integrations:
OpenAI (extract data from PDF for reporting)
Snowflake (invoice data)
Sub-contractors’ APIs
LCA.no (environmental product declaration, EPD)
Execution:
3 developers
24 implementation weeks
Key results:
Quality climate performance data on project and group level, and reduced reliance on core competencies
