Ai-ESG
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GenAi for ESG and Sustainability
Leverage GenAi to achieve your ESG Goals
Empowering ESG with GenAi
We harness the transformative power of GenAI by integrating self-learning agentic AI multi-agent systems to deliver measurable decarbonization, resource efficiency, and circularity.
Instead of relying on manual audits and static reports, our innovative AI-ESG platform automates workflows, predicts risks, and optimises across your entire value chain. This reduces errors, enables global scaling, and achieves 60-85% faster reporting, surpassing manual or basic AI methods.
With rapid ROI (4–12 months payback), we help our clients achieve carbon zero and net-zero goals.
Our Ai-ESG platform delivers a holistic, 360-degree solution by embedding GenAI-powered Agentic Multi-Agent System across your entire Value Chain to:
→ Analyse vendors for responsible sourcing
→ Optimise suppliers for low-carbon alternatives
→ Engage customers with personalized nudges, and
→ Automate Scope 1-3 emissions tracking from suppliers to customers while optimizing OPEX, CAPEX, and resource flows for net-zero resilience.
This end-to-end intelligence transforms ESG from compliance to competitive advantage, accelerating your ESG goals with 15–50% faster achievements and rapid ROI through data-driven, value-chain-wide transformations.
Our Ai-ESG Platform doesn't just report sustainability; it creates it.
Contact us to leverage GenAi to achieve your ESG Goals!
LEVERAGE GENERATIVE AI FOR YOUR ESG GOALS
Agentics Ai-ESG Platform
Developed with our strategic partner EcoRatings.ai, a GenAI powerhouse incubated and recognized by Stanford and Forbes India. This industry-agnostic, scalable solution automates sustainability workflows with its agentic architecture.
With 20+ industry specific GenAI agents integrated and plugged in one platform ready to be used as a plug and play solution, it streamlines need-gap analysis, ESG ratings, reporting, monitoring, tracking, optimization frameworks, and decarbonization initiatives by leveraging real-time data, established methodologies, and evolving regulatory requirements.
The proprietary model is industry, framework, and geography agnostic, enabling immense global scalability. By reducing manual data collection efforts by up to 95%, it delivers real-time actionable insights while significantly eliminating recurring third-party consulting costs associated with ESG analysis.
3-STEPS INTEGRATION
Integrate GenAi in ESG
We integrate our Ai-ESG platform in your existing ecosystem through a proven 3-phase methodology — The Agentics Playbook — tailored to your industry and ESG priorities.
Our Agentic AI multi-agent system outperform traditional consulting by autonomously collaborating e.g., one agent analyzes vendor data while another predicts OPEX impacts - reducing manual effort by 95% and delivering insights 3-5x faster.
PHASE
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01
Data Automation and RAG Architecture (2-3 weeks)
Data automation: Requires identifying data points for ESG coverage and data custodians
Establishing the Retrieval-Augmented Generation (RAG) architecture: Identifying necessary data points for ESG coverage and locating the respective data custodians. This requires either connecting directly to their ERP systems using specialized connectors or developing a vector database.
Database: Serves as a repository for various data types, e.g. unstructured data like handwritten notes, photographs, IoT dumps, and documents in PDF, Word, or Excel format.
Anomaly Detection: To verify the data sender, timeliness, and uniqueness of data, and to identify sudden anomalies in trends or format changes.
Verifiable Guardrails: Enabling users to verify the LLM's responses by clicking on sources of information to open the exact source document page.
Dashboard Visualisation: Automatically generates customizable dashboards with access controls based on KPIs for different departments, and operations
PHASE
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02
ESG Goals and GenAI Agents Implementation (1-2 weeks)
ESG Goals and Compliance Assessment: Evaluate your technology, data, people, and processes for AI-native ESG integration, identifying gaps in Scope 3 tracking or value chain transparency.
ESG Strategy Development: Leverage agentic AI to model double materiality assessments, forecasting physical and transition risks across suppliers, operations, and customers, our multi-agent systems simulate scenarios in real-time.
Industry Benchmarking: Compare your ESG performance against peers using AI-driven analysis of disclosures, generating standards-aligned models (e.g., GHG Protocol, SBTi).
Value Chain Deep Dives: With deep industry expertise, we map intricate problems like supplier emissions or CAPEX for renewables, ensuring holistic strategies.
PHASE
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03
Choose specialised Agents with specific use cases relevant to Your Industry Domain (4-8 weeks)
Industry-specific AI Agents: Such as carbon-aware scheduling, predictive maintenance, or climate-adjusted risk modeling.
Sector-Specific Solutions: Tailored to verticals like Retail (predictive demand + carbon routing), Manufacturing (low-carbon design), Healthcare (cold-chain optimization), or Cross-Industry (automated carbon accounting).
Simulation & Modeling: Use digital twins, reinforcement learning (RL), and scenario tools (e.g., NGFS, IPCC) to forecast outcomes.
Ethical & Governance Focus: Embed bias checks, transparency, and social impact metrics (e.g., supplier nudging for Scope 3).
PHASE
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04
Ongoing Reporting, Optimisation & Monetisation
Automated Reporting: Generate audit-ready CSRD, CDP, and SBTi reports in days, not months, with 60–85% cost reductions.
Green Revenue Streams: Unlock opportunities like carbon credits, green loans, sustainability-linked products, or insets via AI insights (e.g., LiDAR for biodiversity mapping).
Stakeholder Engagement: Personalized nudging engines for customers and suppliers to enhance loyalty and reduce Scope 3.
Deliverable: Compliance packages, monetization strategies, and executive summaries for investors/board.
CONTACT US
GenAI-powered POCs, MVPs and Enterprise Integration
Everything AI
Comprehensive GenAi-Powered innovative solutions such as Conversational AI, Agentic AI Multi-Agent System (MAS), Advanced LLM Integration, RAG-as-a-Service, Agentic Workflows, Business AI Modeling, Multi-Model Solutions, Unlocking Unstructured Data with Agentic AI, Agentic eCommerce etc.
