- Commission context for substantiation intent and ex ante verification approach.
References and citations
- Policy summary and common issues for environmental claims regulation.
A reviewer workflow: checklist, sampling, evidence logs, and common failure modes.
Outcome: approvals become consistent and defensible across campaigns.
Structured answer sets in this page tree.
Cited legal and guidance references.
Verification is an operational control: a structured review that checks claim meaning, boundaries, methods, data quality, trade-offs, and disclosures. Audit readiness means you can export evidence and show that approvals were deliberate, logged, and based on defined acceptance criteria.
A claim should not pass review unless it has a claim card and a complete evidence pack. Reviewers should be able to reproduce the claim meaning and evidence path.
Use a checklist that is consistent across product, legal, marketing, and sustainability reviewers. In the Parliament first-reading text, verification was expected within 30 days, subject to justified extensions, which is a useful operating target even though the proposal has not been adopted.
If you publish many claims, you can't deep-audit every sentence. Use sampling by risk and reach.
Define claim risk tiers and review depth per tier.
Logs are the difference between 'we tried' and 'we operated a control system'. Store reviewer decisions and artifacts in a durable system.
Design logs for export: who approved, when, and based on what evidence.
SSOT can take EU Green Claims Verification and Audit Readiness from reusing this material inside a governed evidence system to a reusable workflow inside Sorena. Teams working on EU Green Claims can keep owners, evidence, and next steps aligned without copying this guide into separate documents.
Start from EU Green Claims Verification and Audit Readiness and keep documents, evidence, and control records in one governed system.
Review your current process, evidence gaps, and next steps for EU Green Claims Verification and Audit Readiness.
Most findings are structural-not 'your numbers are wrong', but 'your claim is ambiguous or implies more than you measured'.
Use findings as feedback loops: update templates and training.