An AI-augmented ESG reporting platform that combines deterministic ESG calculations with grounded AI copilots to deliver audit-ready, CSRD-aligned sustainability reporting.
This project demonstrates how AI can responsibly augment ESG reporting by improving narrative generation, audit explainability, and decision intelligence—without hallucinations or black-box logic.
- Scope 1 & Scope 2 emissions calculation
- Scope 3 emissions estimation (spend-based methodology)
- Energy consumption & renewable energy tracking
- Facility-wise and time-series emissions analytics
- ESG audit readiness scoring (0–100)
- Detailed audit score breakdown
- Data quality & validation layer:
- Missing data detection
- Range validation
- Cross-facility consistency checks
- Data quality flags (Measured / Estimated / Assumed)
- Explainable audit logic (rule-based + AI)
- CSRD (ESRS E1) mapping
- GRI mapping
- Multi-framework coverage heatmap (CSRD / GRI / SASB / TCFD)
- CSRD gap analysis report (PDF)
- CSRD maturity model (Level-based readiness assessment)
- AI Narrative Copilot
- Generates audit-safe ESG narratives (Environment, Governance, Strategy)
- Grounded strictly in reported ESG data
- Toggleable AI with deterministic fallback
- AI Audit Risk Explainer
- Explains why audit risk is high / moderate / low
- Identifies key risk drivers
- Suggests remediation priorities
- Rate-limited, cost-controlled AI usage
- Secure API key handling via Streamlit Secrets
- Links ESG performance to financial risk signals
- Color-coded financial impact indicators (🔴🟡🟢)
- CFO-style executive summary
- Decision-path visualization connecting ESG actions to business outcomes
- ESG Environmental Report (PDF)
- CSRD Gap Analysis Report (PDF)
- Year-over-year ESG comparison
- Change tracking with explanatory notes
This platform is built around four core principles:
- Audit-first design – ESG data treated with the same rigor as financial data
- Explainability over black-box AI – AI outputs are grounded, transparent, and defensible
- Progressive CSRD readiness – Supports staged maturity rather than unrealistic “instant compliance”
- Decision intelligence, not dashboards – ESG insights are connected to financial and risk outcomes
- Python
- Streamlit
- Pandas / NumPy
- Plotly
- OpenAI API (GPT-4o-mini) for AI copilots
- Modular, audit-safe architecture
- AI is strictly grounded in computed ESG data
- No external facts or assumptions allowed
- Deterministic fallback if AI is unavailable
- Session-based rate limiting
- Secure secrets management (no hardcoded keys)
- How to build CSRD-ready ESG systems
- How to integrate AI responsibly in regulated domains
- How to move ESG from compliance → decision intelligence
- How to design audit-safe, explainable AI products
Built by Shashank T K
Software Developer | ESG & AI Systems | Sustainability Intelligence
This platform is designed to support enterprise ESG reporting, CSRD readiness, and audit preparation.
While it provides structured ESG calculations, audit intelligence, and AI-assisted disclosures, final regulatory compliance, legal sign-off, and external assurance remain the responsibility of the reporting organization and its appointed auditors, as required under CSRD.
This aligns with standard practice across enterprise ESG and compliance software.