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1. Executive Summary
As Indian industries face increasing global pressure to decarbonize, traditional sustainability methods are no longer sufficient. This masterclass bridges the gap between data science and corporate environmental responsibility. Led by global pioneer
Dr. Satyam Priyadarshy, this high-impact, two-day workshop equips corporate leadership with the blueprint to treat Artificial Intelligence not as a tech add-on, but as core infrastructure to achieve Net-Zero targets, cut resource waste, and drive operational profitability in a sustainable manner.
2. Core Learning Objectives
● Deconstruct AI Myths: Move past generative AI hype into scalable, industrial-grade Machine Learning for energy and carbon tracking.
● Architect Digital Twins: Learn to model and simulate industrial processes to eliminate waste before it happens.
● Deploy Agentic Energy: Understand how autonomous AI systems can optimize energy grids and supply chains in real time.
● Build the ROI Case: Learn frameworks to present AI-driven sustainability investments directly to corporate boards.
3. Key Takeaways
● A Custom 90-Day Blueprint: A tailored, actionable AI-Sustainability Roadmap ready for implementation within your organization.
● The AI-Sustainability Framework: A comprehensive framework featuring proprietary AI Maturity Assessment models and strategic framework templates.
● Case Study Review: A curated collection of global success stories and failure analyses across heavy manufacturing and energy sectors.
● Elite Networking & Certification: Access to a closed network of sustainability leaders and an official Certification of Completion co-signed by the Faculty and the Bombay Chamber.
Target Audience: C-Suite Executives, Chief Sustainability Officers (CSOs), COOs, VPs of Operations, and Tech Directors
4. Two-Day Program Curriculum
Day 1: AI as Infrastructure for Industrial Decarbonisation
● 09:30 – 11:00 | Session 1: The New Era of Energy & Data
o Transitioning from “Artificial” to Foundational AI Infrastructure.
o How global energy shifts impact Indian corporate regulatory compliance.
● 11:30 – 13:00 | Session 2: Carbon Management Architecture
o Using ML models to track Scope 1, 2, and 3 emissions accurately.
o Overcoming the “bad data” trap in corporate sustainability reporting.
● 14:00 – 15:30 | Session 3: Industry Use-Cases & Failures
o Case studies from global energy giants and heavy manufacturing.
o Analysing why 70% of digital transformation projects fail and how to de-risk them.
● 16:00 – 17:30 | Day 1 Interactive Panel & Ideation
o Mapping corporate participants’ specific carbon hurdles to AI solutions.
Day 2: Digital Twins and Agentic Ecosystems
● 09:30 – 11:00 | Session 4: Designing Corporate Digital Twins
o Building real-world digital replicas of factories, supply chains, and office infrastructure.
o Predictive maintenance: Eradicating asset downtime and resource waste.
● 11:30 – 13:00 | Session 5: The Agentic Energy Ecosystem
o Deploying autonomous AI agents for smart microgrids and real-time energy sourcing.
o Balancing grid reliability with renewable energy integration.
● 14:00 – 15:30 | Session 6: Strategy, Governance & Upskilling
o Responsible AI Governance: Ethics, data privacy, and compliance.
o Building internal AI capabilities: Training existing staff vs. outsourcing.
● 16:00 – 17:00 | Capstone Exercise & Action Plan
o Formulating a 90-day AI-Sustainability Roadmap for each participating company. (open to discussion)
● 17:00 – 17:30 | Valedictory & Certification
o Distribution of certificates co-signed by the Faculty and Bombay Chamber.
5. Logistics & Requirements
● Venue: Bombay Chamber Conference Room (Dadar)
● Capacity: Capped at 25–30 participants to maximise direct interaction and case consultations.
● Deliverables: Participants receive key points of slides and Case Study booklets via email.
