- CSRD training builds the internal expertise needed to run sustainability reporting in the long run.
- Key topics: the directive and scope, the ESRS, double materiality and IROs, the calendar and the audit.
- Formats range from workshops and e-learning to role-specific sessions (finance, sustainability, procurement).
- Training complements — but does not replace — a platform and expert support.
Who needs CSRD training?
Running the CSRD is cross-functional: sustainability, finance, legal, procurement and operations all contribute data and controls. Training gives each team the shared language and methods to collaborate effectively rather than relying on a single expert.
Key topics to cover
A solid program covers the directive and its scope, the ESRS standards, the double materiality analysis and the IROs, the reporting calendar and the external audit. See our overview of CSRD reporting for the full picture.
The complete action plan to succeed in your CSR assessments
A practical guide to turn CSRD knowledge into a concrete reporting plan
Training formats
Options include introductory workshops for leadership, deep-dive sessions for the sustainability team, e-learning modules for a wider audience, and role-specific training (e.g., data owners in each department). A blend usually works best.
Training, tools and support
Training builds competency, but running the CSRD year after year also requires the right tooling to structure your reporting and, often, expert support. The three reinforce each other: skilled teams, a reliable platform and available expertise.
Upskill your teams on the CSRD with an expert
Our experts help your teams master the ESRS and apply them to your reporting
CSRD training — Key Takeaways
| Key point | Explanation |
|---|---|
| Audience | Cross-functional: sustainability, finance, legal, procurement, operations |
| Topics | Directive and scope, ESRS, double materiality and IROs, calendar, audit |
| Formats | Workshops, e-learning, role-specific sessions |
| Best practice | Applied training on your own topics and data |
