AI-ESG Analyst for Sustainability Reports

Course overview

AI-ESG analysts prepare sustainability data and create report content on environmental, social, and governance issues with AI support. The training combines the requirements of sustainability reporting with the practical use of generative AI in data collection, analysis, and text creation. Reporting Landscape and Requirements Those who report need an overview of obligations and expectations. - Overview of reporting occasions and frameworks for sustainability reporting - Materiality assessment: determining relevant topics and key figures - Stakeholders from customers to banks to supervisory bodies Collecting and Preparing ESG Data - Accessing data sources from energy, procurement, personnel, and production - Identifying, documenting data gaps, and establishing data collection methods - Calculating, validating, and maintaining comparability of key figures over the years - AI support in evaluating consumption and supplier data Creating Report Content with AI Language models accelerate text creation but do not replace verification. - Developing chapter drafts from data sets and previous year reports - Ensuring consistent terminology and tone throughout the report - Deriving summaries for different readerships - Fact-checking: securing every statement against the data basis Quality, Evidence, and Responsibility - Organizing documentation for reported figures and statements - Handling estimates, assumptions, and their labeling - Limits of AI use in audit-relevant content - Collaboration with departments, management, and auditors From Report to Management - Deriving actions and goals from report data - Ongoing tracking of key ESG figures - Building reusable reporting components for subsequent years Tools for ESG Work The toolbox remains deliberately slim and manageable. - Spreadsheet as a calculation and collection tool for key figures - Language models like ChatGPT and Claude for text and source work - Structured storage of evidence and calculation methods - Repeatable processes for annual report creation - Prepared responses to inquiries from auditors and banks - Internal presentation of results for management and staff - Cleanly categorizing and commenting on comparisons with previous years and industry values The offering supports establishing sustainability reporting in a data-driven, efficient, and robust manner while responsibly using AI tools.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer