The relationship between identity and financial access is circular and often cruel. To open a bank account, you need identity documents. To obtain identity documents, you often need an address, a birth certificate, and access to government offices — things that are unavailable to the very populations most in need of financial services. The World Bank estimates that approximately 850 million people globally lack a formal identity document, and the overlap between this group and the financially excluded is not coincidental. It is structural.

Digital identity systems are beginning to break this cycle, but not automatically. The design choices made in implementing national digital identity programmes determine whether they expand inclusion or merely digitise existing barriers. India's Aadhaar programme is the most cited example. By using biometric enrolment — fingerprints and iris scans — rather than requiring documentary proof of identity, Aadhaar provided a verifiable identity to hundreds of millions of people who had never possessed one. That identity became the gateway to bank accounts, government subsidies, and mobile financial services.

The results have been significant. The World Bank's Global Findex database shows that bank account ownership in India rose from 35 percent to over 80 percent between 2011 and 2023, with Aadhaar-linked accounts representing a substantial portion of that growth. Similar biometric-first digital identity programmes are underway in Sub-Saharan Africa, Southeast Asia, and Latin America, each adapting the model to local regulatory and infrastructure conditions.

But the technology alone is not sufficient. Digital identity systems designed without privacy safeguards risk creating surveillance infrastructure that can be misused. Systems built without offline capability exclude populations in areas with unreliable connectivity. And systems that rely exclusively on a single biometric modality — such as fingerprints — can inadvertently exclude manual labourers, elderly populations, and people with certain medical conditions whose fingerprints are difficult to capture.

The most effective designs share several characteristics. They use multiple biometric modalities to ensure no population segment is systematically excluded. They implement privacy-by-design principles, ensuring that identity data is not centralised in a way that creates a single point of failure or surveillance. They incorporate consent mechanisms that give individuals meaningful control over how their identity is used. And they interoperate with existing financial infrastructure through standardised APIs, allowing banks and fintech providers to verify identity without building separate verification systems.

For financial institutions and fintech companies operating in markets where identity coverage is incomplete, the practical implication is clear. The KYC processes designed for populations with government-issued identity documents do not work for populations without them. Biometric-first identity verification and biometric matching that can enrol and verify individuals using face, fingerprint, or iris data — independent of whether they possess a traditional identity document — is not a nice-to-have. It is the entry point for hundreds of millions of potential customers.

Platforms like deepidv are designed to serve this spectrum, offering biometric verification that works across document types, biometric modalities, and connectivity conditions, enabling financial inclusion at the scale the challenge demands.