Multi agent ESG monitoring and action
Field logs and spreadsheets turned into live ESG KPIs, compliance checks and new green revenue.
A Tier 1 steel supplier to automotive leadersProblem statement
What the client was up against
ESG data came from handwritten field logs and spreadsheets that people transcribed by hand. Numbers arrived late, KPIs varied by template and only a few power users could find anomalies.
Our approach
How we approached it
- Defined document schemas for each log, from diesel use to emissions
- Automated capture with OCR and structured parsers
- Computed KPIs centrally with validation rules
- Opened the data to everyone through dashboards and a chat assistant
Solution we created
What we built
An Ai ESG platform that captures, validates and computes ESG data automatically, detects anomalies, checks compliance, analyses the value chain and reports. It also surfaced new green revenue streams.
Agents in the system
The multi agent team behind it
SourcesOperator portal, vector database, dashboards, chat assistant
Capture agentReads uploaded logs, images and spreadsheets
Validation agentChecks units, ranges and completeness
Anomaly agentFlags unusual consumption and emissions
Compliance agentChecks data against reporting frameworks
Insight agentAnswers ESG questions in plain language
People decideReview, approve and act
Capture agentReads uploaded logs, images and spreadsheets
Validation agentChecks units, ranges and completeness
Anomaly agentFlags unusual consumption and emissions
Compliance agentChecks data against reporting frameworks
Insight agentAnswers ESG questions in plain language
Operator portalvector databasedashboardschat assistant
Results
What changed in the numbers
7,300 tof CO2 emissions mitigated
+987%growth in renewables
82%CAGR
Measured in the client's live deployment.
Client names, detailed case studies, demos and references can be shared on request.
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