Play 70
ESG Compliance Agent
High✅ Ready
Environmental, Social, Governance reporting automation with regulatory compliance.
Automated ESG reporting across four regulatory frameworks — GRI, SASB, TCFD, and EU CSRD. Azure Document Intelligence extracts data from corporate filings and sustainability reports, OpenAI maps extracted data to framework-specific disclosure requirements, AI Search provides regulatory knowledge retrieval, and Cosmos DB maintains compliance state. Generates board-ready ESG dashboards.
Architecture Pattern
RAG-powered compliance: document extraction → framework mapping → gap analysis → reporting
Azure Services
Azure OpenAIDocument IntelligenceCosmos DBAzure PolicyAzure AI Search
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — ESG Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (260 lines), evaluate (113 lines), tune (221 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI + AI Search inputs + envFile
TuneKit (AI Config)
- config/openai.json — regulatory document analysis prompts
- config/esg.json — framework rules, disclosure requirements, materiality matrix
- config/guardrails.json — audit trail, data lineage
- evaluation/eval.py — Framework coverage >90%, Data accuracy >95%
Tuning Parameters
Regulatory frameworksMateriality matrixDisclosure requirementsAudit retention periodStakeholder report format
Estimated Cost
Dev/Test
$100–250/mo
Production
$2K–8K/mo