Sustainability Magazine July 2025 | Page 174

TECH & AI
participant, streamlines data collection through standardised questionnaires and API integrations and fosters a shared vision by presenting unified dashboards that highlight collective goals and opportunities for improvement.
WHAT TRENDS DO YOU ANTICIPATE IN ESG TECHNOLOGY? An AI-based ESG agent acts as a continuously learning copilot that digests vast amounts of environmental, social and governance data – from supplier disclosures to energy consumption logs to evolving regulatory texts – and translates it into actionable insights in real time. At its core, the agent uses natural language processing to ingest unstructured documents( eg. sustainability reports, regulatory bulletins, supplier emails) and automatically extract key metrics – carbon intensities, labourpractice ratings, governance flags – then aligns them with relevant frameworks( CSRD, ISSB, GRI, etc.).
Beyond simple data aggregation, the AI agent leverages machine learning models to detect patterns and anomalies that might otherwise go unnoticed: for instance, flagging a sudden uptick in emissions from a particular supplier, predicting potential compliance gaps months ahead of a new regulation’ s enforcement, or identifying which procurement categories contribute most heavily to Scope 3 risk. Because it continuously ingests fresh information – such as new shipment records, realtime energy readings or updated supplier questionnaires – the agent can generate rolling forecasts of key ESG metrics( eg.
forecasted emissions vs. SBTi targets) and automatically suggest corrective actions.
On the reporting side, the agent can draft audit-ready disclosures by mapping internal metrics to required reporting fields, generating graphs and narrative summaries that align with each jurisdiction’ s guidelines. It can even answer“ what-if” queries in plain English, such as.“ What will happen to our overall GHG inventory if we switch 40 % of our fleet to electric vehicles by next quarter?”, and produce scenario analyses comparing carbon savings, cost impacts and compliance readiness.
174 July 2025