AI & Sustainability – From Strategy to Scalable Impact

The workshop is conducted in a hybrid format - Virtual on Zoom and In-person in San Francisco. Please register for either mode.

By integrating AI into sustainability, companies can unlock $2M–$10M in annual value, while significantly reducing operational inefficiencies and ESG risks.

Objective

As climate pressures intensify and regulatory scrutiny tightens, organizations can no longer treat sustainability as a reporting function—it must become a data-driven, AI-enabled strategic priority. This program is designed to urgently equip leaders with the capability to deploy AI for measurable climate impact, cost optimization, and competitive advantage, while avoiding risks such as greenwashing, inefficient investments, and regulatory non-compliance.

Audience

Chief Sustainability Officers (CSOs)Chief Technology & Data Officers (CTOs/CDOs)ESG & Climate LeadersAI/Analytics ProfessionalsStrategy & Innovation HeadsClimate-tech founders and consultants

Outcomes

Ability to identify high-impact AI use cases across sustainability functionsDevelopment of a custom AI Sustainability BlueprintUnderstanding of AI governance, ethics, and regulatory alignmentCapability to quantify ROI (cost savings + emissions reduction)Creation of a 90-day implementation roadmap ready for deployment

Key Takeaways

AI is no longer optional—it is a core enabler of Net Zero executionOrganisations must move from ESG reporting → ESG intelligenceThe biggest opportunity lies in operational AI (supply chain, energy, risk)Poorly governed AI can create reputational and regulatory risks

Early adopters of AI in sustainability will gain high cost and market advantages

Schedule

Breakfast and networking…. 9:00 am to 10:00 am

Panel Discussion: The Intersection of AI & Sustainability (60 mins)...10:00 am to 11:00 am

The role of AI in accelerating Net Zero and ESG goalsAI across climate domains: energy, supply chain, carbon trackingRisks: greenwashing, data bias, energy consumption of AICase studies of your company

Case Study:

AI-driven decarbonization in global supply chains (e.g., predictive emissions tracking)

Outcome:

Participants understand where AI creates real vs perceived sustainability value

11:00 am to 11:30 am …Tea/Coffee break

AI Applications Across ESG Functions (45 mins)...11:30 am to 12:30 pm with Christian Butzlaff, Chief Sustainability Architect, SAP

AI in carbon accounting & ESG reporting (CSRD, TCFD alignment)Climate risk modeling & predictive analyticsAI for circular economy and resource optimizationManagement verticalsImpact assessment and data analysing

Case Study:

AI-enabled Reporting dashboards for enterprise

Mini Activity:

Identify 3 AI use cases within your organization

Lunch….12:30 pm to 1:30 pm

Hour 3: Workshop and assignment – Designing AI for Sustainability Use Cases (90 mins)...1:30 pm to 2:30 pm

(Pre-read: List of AI tools with functions)

Group Discussion

Step-by-step framework:Problem identificationData mappingAI model selectionImpact measurementTool SelectionResponsible AI in sustainabilityAI energy footprint & sustainable AI infrastructureGovernance frameworks (OECD AI Principles, EU AI Act alignment)Ethical AI deployment in climate techBalancing innovation vs regulation

Group Exercise:

Build a real AI sustainability solution (e.g., carbon reduction in operations)

Output:

Draft AI Sustainability Blueprint per team

Coffee/Tea ….2:30 pm to 3:00 pm

Climate-tech investors Roundtable

3 speakers 1 moderator https://docs.google.com/document/d/1yPwkRdCl_qvOyckCt1DRaGc0sGkjtHpW/edit?usp=sharing&ouid=114510451953840546735&rtpof=true&sd=true