For over a decade, sustainability and climate-related compliance has been built on
disclosure. Banks collected data, often through questionnaires, annual reports, or
client submissions, and used it to meet regulatory and internal reporting requirements.
That model is now breaking down.
The shift is structural. Compliance is moving from disclosure to verification.
The reason is simple. Disclosure is no longer trusted as a standalone input. Regulators,
investors and internal risk teams are no longer asking whether data exists. They are
asking whether it is accurate, comparable and defensible. For banks with large SME
and private company portfolios, this creates a fundamental problem. Most of these
businesses do not publish structured sustainability or emissions data at all, leaving
banks exposed to a significant data blind spot.
Even where data is collected, it is often inconsistent, manually assembled and quickly
outdated. This makes it difficult to use for credit decisions, portfolio risk assessment or
regulatory reporting. As scrutiny increases, the cost of relying on unverified data
becomes too high. This is what the Disruption House refers to as the “Verification Tax” –
the growing operational and financial burden of collecting, checking and validating
sustainability data across thousands of counterparties.
At the same time, regulatory expectations are evolving. Transition finance, financed
emissions reporting and climate risk stress testing all require data that is not only
available, but validated. Banks are expected to demonstrate that their numbers can be
traced, challenged and explained. This is not a disclosure exercise. It is a verification
challenge.
The issue is scale. Banks are not dealing with dozens of large corporates. They are
dealing with thousands of SMEs, many of which lack the resources or incentives to
engage in complex reporting processes. Traditional approaches, based on surveys and
manual engagement, do not scale. They create friction for customers and cost for the
bank, without guaranteeing data quality.
This is where a different model is needed.
The Disruption House and FourTwoThree address this shift through their Climate Action
platform, developed and deployed by NatWest and National Australia Bank, designed
specifically for banks operating in this new compliance environment. Rather than
relying solely on self-reported data, the platform combines pre-collected company
insights, structured data modelling and targeted validation to create a consistent and
verifiable dataset at scale.
The approach is built around progressive data quality. Starting from publicly available
disclosures, enhanced with documentation and quantitative indicators, and moving
towards validated company inputs where needed, banks can achieve full portfolio
coverage without overburdening their customers.
Crucially, verification is embedded into the process. Pre-populated data profiles allow
SMEs to confirm key information through simple validation steps, rather than starting
from scratch. This reduces engagement friction while improving data accuracy. For
banks, it means access to decision-ready data that can support regulatory reporting,
risk modelling and transition finance strategies.
The result is a shift from fragmented, unreliable datasets to a structured, scalable and
verifiable view of portfolio exposure.
Compliance is no longer about collecting more data. It is about trusting the data you
already have, and verification is how that trust is built.
