Upon completion of this course, participants will be able to:

• Understand the core pillars of ESG and their strategic relevance to long-term business viability and investor relations.
• Identify high-impact opportunities to leverage digital technology (e.g., IoT, AI) to achieve environmental (E) and social (S) goals.
• Develop a measurement framework for ESG performance using established standards (e.g., SASB, GRI).
• Apply principles of circular economy and design thinking to create sustainable product and service innovations.
• Analyze and mitigate climate and resource risks through strategic technology adoption and supply chain transparency.
• Integrate ESG criteria into the corporate innovation portfolio and capital allocation decisions.
• Utilize blockchain and data analytics to ensure the integrity and communication of ESG reporting.

• Sustainability and ESG Directors
• Chief Strategy Officers and Corporate Development Leaders
• Supply Chain and Operations Executives
• Innovation and R&D Managers

The methodology combines strategic analysis with digital use-case identification. **Scenarios** involve responding to a major investor requesting a detailed report on a company's net-zero transition plan. **Case studies** examine companies that are leaders in linking ESG to financial performance (e.g., Patagonia, Unilever) and the technologies they employ. **Group activities** focus on using a Business Model Canvas to redesign a product using circular economy principles, enabled by IoT. **Individual exercises** require participants to map the five most significant ESG risks to their organization. **Syndicate discussions** debate the ethical challenges of using AI to monitor labor practices in the supply chain.

UNIT 1: The Strategic Imperative of ESG

• Defining the three pillars: Environmental, Social, and Governance (ESG) and stakeholder capitalism
• The financial and strategic risks of non-compliance (stranded assets, brand damage)
• Investor relations: The role of ESG in attracting capital and driving valuation
• Integrating sustainability targets into core business strategy and purpose

UNIT 2: Digitalizing Environmental (E) Goals

• Leveraging IoT and AI for energy efficiency and emissions monitoring in operations
• Digital Twins and predictive maintenance for optimized resource usage
• Applying advanced data analytics for supply chain traceability and raw material sourcing
• Innovation in the Circular Economy: Digital platforms for asset lifecycle extension

UNIT 3: Digitalizing Social (S) and Governance (G)

• Using AI to improve labor equity, diversity, and inclusion within the workforce
• Blockchain for transparent and ethical sourcing in complex supply chains
• The role of digital platforms in community engagement and social impact measurement
• Governance: Integrating ESG criteria into board composition and executive compensation

UNIT 4: Measurement, Reporting, and Risk

• Overview of key reporting standards: GRI, SASB, and TCFD frameworks
• Establishing clear, quantifiable ESG metrics and internal data collection processes
• Mitigating "Greenwashing" risk through rigorous data governance and external verification
• Analyzing climate risk and developing corporate resilience strategies

UNIT 5: Innovation and Future Business Models

• Designing new sustainable products and services using Design Thinking principles
• Creating new revenue streams based on resource-as-a-service or circular models
• Aligning M&A strategy to acquire capabilities that enhance ESG performance
• The role of advanced computation (e.g., Quantum) in accelerating material science breakthroughs