AI for Corporate ESG & CSRD Reporting
Use AI for CSRD/ESRS disclosure — double materiality, Scope 3 data, report drafting, framework mapping — with an audit-ready, anti-greenwashing workflow.
Sustainability disclosure stopped being a marketing exercise and became a regulated, externally assured report — and then, in 2026, the rules changed again. The EU’s Omnibus package narrowed who has to file under the CSRD, cut the number of required datapoints, and settled the assurance question. The scope shrank. The work did not. If anything, the teams still in scope are expected to do a sharper job with leaner resources.
That is exactly where AI earns its place — and exactly where it can get you in trouble. Used well, AI turns a folder of messy supplier spreadsheets into a structured emissions inventory, drafts an ESRS disclosure paragraph in seconds, and maps one set of data across four reporting frameworks so you stop redoing the same work. Used carelessly, it invents a greenhouse-gas target your company never set, files it in a 200-page report, and hands an auditor a fabrication with your name on it.
This course teaches the disciplined version. You will use free AI tools and public framework documents to draft real disclosures, run an AI-assisted double materiality assessment, build a Scope 1/2/3 inventory, and map across ESRS, GRI, ISSB, and TCFD — and you will do all of it with an audit-ready trail where every figure traces to a source and a named human verifies the numbers. No platform seat required. No greenwashing. Just the workflow a sustainability team actually needs.
What You'll Learn
- Explain what the CSRD and ESRS require and the current post-Omnibus scope, wave timeline, and assurance rules
- Use AI to draft an ESRS-grounded sustainability disclosure paragraph from a handful of real data points
- Apply AI assistance to a double materiality assessment — impact and financial — while keeping the judgment calls human
- Analyze messy supplier and utility data to produce a correctly categorized Scope 1, 2, and 3 emissions inventory
- Design a single disclosure that maps across ESRS, GRI, ISSB, and TCFD without redoing the work for each framework
- Evaluate AI-generated sustainability disclosures for auditability and greenwashing risk before they reach an assurer
After This Course, You Can
What You'll Build
Course Syllabus
Prerequisites
- Some exposure to ESG, sustainability, or corporate reporting (you do not need to be an expert)
- Basic familiarity with a general AI assistant like ChatGPT, Claude, or Copilot — no prior AI-for-ESG experience needed
Who Is This For?
- Sustainability and ESG managers who own or contribute to the disclosure process
- Corporate reporting and disclosure teams preparing CSRD/ESRS or voluntary sustainability reports
- Finance and controllership staff pulled into ESG and GHG reporting
- Investor relations and legal professionals who touch sustainability disclosure
Frequently Asked Questions
Do I need a paid ESG platform like Workiva, Watershed, or Persefoni to take this course?
No. Every exercise runs on the free path: a free AI assistant (ChatGPT, Claude, or Copilot) plus public framework documents (EFRAG's ESRS, the GHG Protocol, IFRS S1/S2, GRI). We show what the paid platforms automate so you recognize it at work, but you can complete the whole course — including the capstone — without a platform seat.
Is this current with the 2026 Omnibus changes to CSRD?
Yes. The course teaches the post-Omnibus state: the narrowed scope (broadly, more than 1,000 employees and over €450M turnover), the revised wave timeline, the move to limited assurance only, and the simplified ESRS with far fewer datapoints. We flag what changed so you do not plan against the outdated 2022 rules.
Is this about financial reporting or general compliance?
Neither. This course is specifically about sustainability and ESG disclosure and reporting — CSRD/ESRS, double materiality, GHG/Scope 3 data, and sustainability-report narratives. It is not month-end financial close and not general GDPR/SOX/ISO governance.
Will AI write my whole sustainability report?
No, and the course is blunt about why. AI drafts, structures, and speeds up the data work, but a named human plus an external assurer must verify every figure, and your management body signs off. The course teaches exactly where AI helps and where the judgment and accountability stay human.
