Imagine a world where AI doesn’t just optimize business—it heals the planet. This immersive program teaches leaders how to embed intelligent systems into ESG and sustainability strategies that drive transparency, resilience, and measurable environmental and social impact. From cutting-edge algorithms to regulatory frameworks, participants gain the tools to harness AI-driven insights across supply chains, reporting, and corporate governance.

TRAINING TOPICS

• AI-powered ESG reporting & sustainability dashboards

• Predicting climate risk in global supply chains with AI

• Generative AI in environmental problem-solving

• AI tools for greenwashing detection & ESG risk scoring

• Embedding ESG-AI frameworks for corporate sustainability

• Navigating sustainability law & reporting standards

• Balancing AI’s own environmental footprint

• Case studies in AI-driven emissions decisions & risk mitigation

• AI-enabled sustainable investment & green tech trends

• Ethical & inclusive AI in sustainability leadership

BY THE END OF THIS TRAINING, DELEGATES WILL BE ABLE TO

• Build AI-driven ESG reporting systems for real-time sustainability insights

• Use predictive AI for climate-risk resilience in global value chains

• Apply generative AI solutions for environmental and social challenges

• Detect and mitigate greenwashing with AI-powered analytics

• Implement ESG-AI frameworks to align tech, reporting, and performance

• Navigate evolving ESG regulation and disclosure standards efficiently

• Manage AI’s environmental footprint responsibly in sustainability agendas

• Integrate ethical values and inclusive leadership with ESG-AI initiatives

TRAINING IS TAILORED TO

- Sustainability and ESG leaders in corporate and financial sectors
- C-suite executives overseeing AI, risk, and sustainability strategy
- Investment and risk officers integrating AI into ESG frameworks
- Governance, compliance, and environmental strategy teams

TRAINING METHODOLOGY

Interactive labs, case-based learning, tool demos, regulatory simulations, generative AI workshops, supply chain risk modeling, and peer-led sustainability roundtables.

Day One:

AI-Powered ESG Reporting & Compliance

• Overview of CSRD, SFDR, GRI and evolving disclosure mandates

• Platform demo: automating ESG reporting with Novata/Briink tools

• Data pipelines: sourcing, validating, and visualizing ESG metrics

• Interactive lab: creating live sustainability dashboards

• Group reflection: reporting best practices across regions

Day Two:

Sustainable Supply Chain via Predictive AI

• Mapping climate risk hotspots with satellite & AI analytics

• Emissions modeling and scenario planning using AI tools

• Case analysis: UOB & GreenFi automated ESG risk reporting

• Workshop: build a supply chain AI-risk map

• Cross-functional feedback session

Day Three:

Generative AI for Environmental Impact

• Exploring Microsoft AI for Earth & Google use-cases

• Unilever’s AI for green product development

• Brainstorm hackathon: generative models for conservation or resource efficiency

• Prototype pitching and peer review

Day Four:

AI Risk, Greenwashing & ESG Frameworks

• Detecting greenwashing with GaiaLens & RepRisk demos

• Sustainability impact framework from Sung Une et al.

• Ethical AI toolkit: balancing impact with governance

• Strategy workshop: embed ESG-AI frameworks into org strategy

Day Five:

AI Energy, Investment & Leadership

• Understanding AI’s environmental footprint (energy, water, e-waste)

• Financing trends: green tech investments and sustainability capital flows

• Inspiring case: Bambuddha’s ethical leadership for ESG impact

• Capstone: present a comprehensive ESG-AI strategy

• Panel with sustainability execs: scale, regulation, future outlook