Optimizing Proof of Address with AI-Powered Categorization
Blog post from Didit
Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.
Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.
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Automating the Proof of Address (PoA) verification process, Didit's AI-powered solution enhances efficiency, accuracy, and fraud detection by categorizing various document types like utility bills and bank statements, extracting and validating address data against multiple sources such as Google Maps, and providing robust fraud prevention through fictitious address detection. This approach streamlines compliance with regulatory requirements and improves the customer onboarding experience by eliminating manual sorting, reducing operational costs, and ensuring consistent, reliable verification outcomes. Didit offers a developer-friendly platform with configurable workflows, allowing businesses to tailor the verification process to their risk preferences, supported by a comprehensive API for easy integration, and a free tier for cost-effective identity verification.
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