Data Collection Agent
The Data Collection Agent automates the collection of sustainability and emissions-related data from multiple enterprise sources, including ERP systems, procurement platforms, utility bills, spreadsheets, supplier submissions, and other business documents. Using AI, the agent extracts relevant information, reduces manual data entry, and consolidates data into a standardized format, significantly improving efficiency, data quality, and reporting accuracy.
2. Data Transformation Agent
The Data Transformation Agent converts raw, fragmented, and unstructured business data into emissions-ready datasets. It automatically classifies activities, maps data to appropriate emissions categories, recommends suitable emission factors, and standardizes information for greenhouse gas (GHG) accounting. This enables organizations to accelerate carbon footprint calculations while ensuring consistency with recognized carbon accounting methodologies and reporting standards.
3. Gap Analyzer Agent
The Gap Analyzer Agent uses AI to assess the completeness and quality of sustainability data. It identifies missing, inconsistent, or incomplete information that could affect emissions calculations or regulatory reporting. The agent provides actionable recommendations to resolve data gaps, improve data accuracy, and strengthen the reliability of ESG disclosures. By proactively highlighting potential issues before reporting, it helps organizations reduce compliance risks and produce more accurate, audit-ready sustainability reports.
Together, these AI Agents streamline the end-to-end sustainability reporting process by reducing manual effort, improving data quality, accelerating greenhouse gas emissions accounting, and enabling organizations to make faster, data-driven climate decisions. The solution is designed for medium and large enterprises seeking to automate carbon accounting, strengthen ESG reporting, and comply with evolving global sustainability regulations while advancing their decarbonization goals.