Caviar Consulting / Services
The global baseline for sustainability-related financial disclosure, built around what investors need to assess enterprise value.
The ISSB standards are framed differently from most sustainability reporting. The audience is explicitly investors and other capital providers, and the test for what to disclose is whether the information could reasonably affect an assessment of enterprise value. That single framing decision shapes everything else about how the disclosure is built.
It also means these disclosures are expected to connect to the financial statements: same reporting entity, same reporting period, published at the same time, and consistent in the assumptions used. Where a climate risk is described in the sustainability disclosure and an assumption in the financial statements appears to contradict it, that inconsistency is visible.
S1 sets the overall approach to disclosing sustainability-related risks and opportunities. It establishes the four-pillar structure that runs through both standards:
S2 applies the same structure specifically to climate. In practice this is where most of the work concentrates, because it requires quantitative disclosure that many organizations have not produced before: greenhouse gas emissions across Scope 1, 2, and 3, industry-based metrics, transition plan information where one exists, and climate resilience assessment including scenario analysis.
Scenario analysis is usually the least familiar piece. It is not a forecast. It is a structured examination of how the business would fare under different climate futures, with the reasoning documented. The value is in the reasoning being disclosed, not in the scenarios being right.
ISSB is designed as a global baseline that jurisdictions build on, which means it frequently overlaps with other obligations rather than replacing them. An organization may be reporting under CSRD in Europe, California requirements in the United States, and an ISSB-based regime in another jurisdiction, all from the same underlying data.
The efficient approach is one governed dataset that serves every framework, with mapping between them, rather than a separate reporting process per regime. That is a data architecture decision, and it is much cheaper to make early.
Gap analysis against the standards, governance and process design so the disclosures reflect something real, building the metrics and the data behind them, drafting the disclosures, and connecting the whole thing to the financial reporting calendar so it can be produced on time and reviewed properly.
Describe which jurisdictions apply to you and what disclosure exists today.
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