28% Faster ESG Reporting with Superteams’ Agentic Vision AI Team

Case Study

Introduction

A ClimateTech SME in India was serving clients in the textile industry: a sector known for its complex supply chains and demanding ESG reporting requirements. As sustainability regulations tightened across regions like the EU and India, the company needed a reporting system that could scale with its customer base while ensuring compliance, accuracy, and trust. They approached Superteams.ai to help design and deploy such a system.

Challenge Faced

The client struggled with three major roadblocks:

1. Data Fragmentation – Emissions and compliance data were spread across annual reports, Zoom meeting notes, and investor presentations. Manual compilation was error-prone and time consuming.
2. Regulatory Compliance – Textile ESG reporting required jurisdiction-specific formats and calculations. In India, SEBI’s BRSR (Business Responsibility and Sustainability Report) requirements added another layer of complexity, demanding standardized ESG disclosures alongside international frameworks like EU CSRD and GRI.
3. Scaling Limits – Manual peer review processes made it impossible to efficiently onboard new customers while maintaining quality.

These challenges directly hampered the client’s ability to grow and retain customers.

Our Approach

Superteams assembled a bespoke Agentic AI Team to architect and deliver a scalable, audit-ready solution:

1. Advanced Agentic RAG System
   • Data Ingestion: Reports, transcripts, and presentations were ingested into a Qdrant vector database for structured retrieval.
   • Data Analysis: Large Language Models (LLMs) interpreted emissions and supply chain data, producing draft reports aligned with frameworks like BRSR, EU CSRD, and GRI.
   • Agentic Architecture: An agent-based workflow combined retrieval with natural language generation, ensuring outputs were jurisdiction-specific and audit-ready.
2. Automated Visualization API
   • Generated charts, graphs, and compliance tables automatically, ensuring clarity for BRSR and international disclosures.
3. AI Assistant for Querying and Peer Review
   • Allowed sustainability professionals to query datasets in plain language.
   • Performed first-level peer reviews, flagging inconsistencies and benchmarking against peer disclosures.
   • Final oversight remained with human auditors, ensuring credibility and trust.
4. Prototype-First Delivery
   • Superteams adopted a sprint-based approach, delivering a working prototype quickly and refining it through regular feedback loops with the client.

Real-World Scenario Solved

Previously, a sustainability officer could spend over 10 hours compiling emissions data from scattered sources to draft a single compliance report. Formatting it for EU CSRD vs SEBI requirements required additional rework, and peer reviews stretched delivery timelines by weeks.

With the new system, the officer could simply request:
"Generate a textile emissions compliance report aligned with EU CSRD and SEBI standards for Q2 data."

The system retrieved relevant documents, produced a formatted draft in minutes, auto-generated charts and compliance tables, and flagged inconsistencies for review. What once took days now took only hours, freeing professionals to focus on higher-value advisory work.

Results Achieved

Within six months, the client realized significant outcomes:

• 32% revenue growth – Faster onboarding of new textile clients thanks to shorter reporting cycles.
• 28% faster ESG reporting cycles – Reports delivered in hours instead of days, with audit-ready outputs.
• 40% improvement in client retention – Customers valued speed, accuracy, and regulator-aligned transparency.

The peer review assistant handled repetitive validation, while human experts retained final oversight. This blend of automation and accountability gave the client both scale and credibility.

By embedding Superteams’ Agentic AI Team, the SME transformed its reporting process into a scalable, compliance-ready engine—strengthening its position as a trusted ClimateTech partner for the textile sector.