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10/07/2026 9:10 pm
TL;DR: Digital public infrastructure stalls when citizens cannot reliably prove identity, according to Seamfix. The company says its GovSmart platform combines contactless biometrics, liveness detection, OCR, and deduplication to improve enrolment and reduce fraud, citing a 90% fraud-risk reduction and a 50% cut in manual review time. The real governance issue is not capture convenience, but whether identity verification can scale without excluding remote populations or weakening trust in public services.
NHIMG editorial — based on content published by Seamfix: digital public infrastructure, the identity gap, and GovSmart
By the numbers:
- Seamfix says advanced liveness detection has been proven to reduce identity fraud risks by 90%.
- Seamfix says real-time data quality checks increase acceptance rates by 70% and reduce back-office rework.
- Seamfix says automated workflows can cut manual review times by up to 50%.
Questions worth separating out
Q: How should public-sector teams balance identity inclusion with fraud resistance?
A: They should define assurance levels by service risk, not by a one-size-fits-all enrollment flow.
Q: When do biometric identity systems fail in practice?
A: They fail when capture quality, device variation, and weak exception handling are ignored.
Q: What do governments get wrong about digital identity programmes?
A: They often treat identity as a registration project instead of an ongoing governance function.
Practitioner guidance
- Map identity assurance to service criticality Define which services require stronger proofing, liveness checks, or manual review, then align those requirements to the risk of fraud or exclusion in each channel.
- Validate mobile capture under field conditions Test biometric capture on low-end devices, in poor lighting, and with inconsistent connectivity before rollout, because the real control failure often appears outside lab conditions.
- Govern deduplication as a lifecycle control Assign ownership for duplicate resolution, exception handling, and cross-agency record reconciliation so that a single source of truth is maintained after initial enrolment.
What's in the full article
Seamfix's full analysis covers the product and deployment detail this post intentionally leaves for the source:
- AirPrint SDK implementation detail for smartphone-based biometric capture in low-infrastructure environments
- The liveness detection approach and how the fraud controls are tuned during enrolment
- Administrator workflow specifics for OCR, deduplication, and exception management
- Deployment context from the NIMC programme and what scaled enrolment looked like operationally
👉 Read Seamfix's analysis of digital public identity gaps and GovSmart →
Identity verification in DPI: what public-sector teams need to know?
Explore further
10/07/2026 9:33 pm
Identity proofing is becoming a service-delivery control, not just a registration step. In digital public infrastructure, the verification moment determines whether citizens can access healthcare, welfare, and civic services at all. That makes identity assurance a governance issue, not a back-office formality. Public-sector teams should treat proofing design as part of core service architecture.
A question worth separating out:
Q: Who is accountable when identity fraud slips through public verification flows?
A: Accountability should sit with the programme owner, the agency operating the verification process, and the teams governing data quality and exception handling. Fraud is rarely caused by one control failure alone. It usually reflects weak policy alignment between enrollment, verification, and downstream service access.
👉 Read our full editorial: Digital public identity gaps are limiting access and trust
