Compliance with substance

Climate risk disclosure, backed by engineering

Climate risk disclosure, backed by engineering

Climate risk disclosure, backed by engineering

Regulatory frameworks demand climate risk data. The quality of that data determines whether disclosure is a checkbox or a competitive advantage.

TCFD, EU Taxonomy, SFDR, CSRD, and SEC climate rules all require physical risk assessment of varying depth.

Iris produces audit-ready outputs with the methodology documentation regulators and auditors expect, so the same data that satisfies compliance also informs capital strategy.

Regulatory frameworks demand climate risk data. The quality of that data determines whether disclosure is a checkbox or a competitive advantage.

TCFD, EU Taxonomy, SFDR, CSRD, and SEC climate rules all require physical risk assessment of varying depth.

Iris produces audit-ready outputs with the methodology documentation regulators and auditors expect, so the same data that satisfies compliance also informs capital strategy.

How Iris supports
regulatory disclosure

Assess at the depth your framework requires

Different disclosure frameworks call for different levels of analysis. Class 0 and Class 1 assessments satisfy most screening and preliminary disclosure requirements. For frameworks that demand scenario analysis, quantified financial impact, or forward-looking projections, Class 2 and Class 3 provide the depth and traceability to meet those thresholds.

Climate scenarios built in

Most hazards in Iris include climate change projections across SSP pathways and IPCC time horizons (present-day, mid-century, end-of-century). Multiple climate models are available. Report under the scenarios your framework requires, whether that's a 1.5°C alignment pathway or a high-emissions baseline.

Quantified financial impact

Disclosure frameworks increasingly require financial quantification of physical risk. Iris produces repair costs, downtime projections, revenue loss estimates, and annualized losses tied to specific hazard scenarios, expressed as probabilistic ranges rather than single-point estimates. These outputs map directly to the financial impact disclosures required by TCFD, CSRD, and SFDR.

Audit-ready methodology

Every Iris output traces back to a published risk assessment framework developed at Arup. The underlying methodology (hazard intensity, component damage, financial consequence) is transparent and fully documented. When auditors or regulators ask how you arrived at your numbers, the chain from hazard data to financial output is traceable end to end.

Outputs built for
compliance and risk teams

Outputs built for
compliance and risk teams

Standardized exports

Data formatted for compliance reporting. CSV and Excel exports structured to align with TCFD, EU Taxonomy, and SFDR reporting templates.

Climate scenario coverage

Risk results across multiple SSP pathways and time horizons, ready for scenario analysis sections of disclosure reports.

Financial impact metrics

Quantified repair costs, downtime, and revenue loss estimates that map directly to the financial impact requirements of TCFD and CSRD.

Portfolio-level summaries

Aggregated risk metrics across your full portfolio for annual report inclusion and investor presentations.

Methodology documentation

Clear explanation of the assessment methodology, data sources, and assumptions. Designed to stand up to auditor and regulator scrutiny.

Built for the frameworks
you report against

Framework

What it requires

How Iris supports it

TCFD

Physical risk assessment under multiple climate scenarios, financial impact quantification.

Scenario-based loss estimates across SSP pathways and time horizons. Quantified repair costs, downtime, and revenue impact.

EU Taxonomy

Screening for material physical climate risks, climate projections for assets with 10+ year lifespans.

Multi-hazard screening with forward-looking climate projections at present-day, mid-century, and end-of-century.

SFDR

PAI indicators for physical risk exposure, scenario analysis.

Portfolio-level risk metrics and asset-level PAI-compatible indicators with climate scenario analysis.

CSRD

Double materiality assessment, detailed physical risk quantification.

Asset-level and portfolio-level physical risk quantification with traceable engineering methodology. Supports both financial and impact materiality dimensions.

In practice

Banking

Technology

From acquisition analysis to regulatory reporting

A global investment bank uses the same scenario-based loss estimates that inform acquisition pricing to feed directly into TCFD-aligned climate disclosures.

Forward-looking projections across SSP pathways and multiple time horizons satisfy scenario analysis requirements, while asset-level financial impact metrics provide the quantified outputs regulators expect.

Banking

From acquisition analysis to regulatory reporting

A global investment bank uses the same scenario-based loss estimates that inform acquisition pricing to feed directly into TCFD-aligned climate disclosures.

Forward-looking projections across SSP pathways and multiple time horizons satisfy scenario analysis requirements, while asset-level financial impact metrics provide the quantified outputs regulators expect.

Banking

Technology

From acquisition analysis to regulatory reporting

A global investment bank uses the same scenario-based loss estimates that inform acquisition pricing to feed directly into TCFD-aligned climate disclosures.

Forward-looking projections across SSP pathways and multiple time horizons satisfy scenario analysis requirements, while asset-level financial impact metrics provide the quantified outputs regulators expect.

Disclosure that does
more than satisfy a requirement.