AI as a lever for sustainable corporate strategies

Day 1 – Data basis and status quo

• Digital foundations for sustainability.
• Identify relevant sustainability and company data.
• Understanding ESG data sources and interfaces.
• Data quality and plausibility check.
• Status quo check: digital maturity and data potential.

Day 2 – Digitizing and automating processes

• What automation means in the context of sustainability.
• Typical areas of application (data collection, reporting, monitoring).
• Understanding the interaction between systems and tools.
• Digital workflows & process optimization with practical examples.
• Reflection: Which processes offer potential for automation?

Day 3 – AI in analysis and reporting

• AI basics for sustainability managers.
• AI as a tool for data analysis and scenarios.
• AI-supported reporting and text support.
• Natural Language Processing (NLP) for ESG reports.
• Group work: Opportunities and limitations of AI in your own field.

Day 4 – Working responsibly with AI

• Transparency and traceability of AI systems.
• Ethics, Governance & Corporate Policies.
• The ecological footprint of AI – benefits and limitations.
• Guide: Responsible use of AI in companies.
• Conclusion: Transfer plan & initial implementation idea.