Onfido

Teams use Onfido to run identity checks directly inside signup, account recovery, or high-risk actions like withdrawals and payouts. A user is prompted to photograph an ID and take a selfie in a guided flow, then the results are returned to the product so the account can be approved, held for review, or routed to an alternate step. Many companies start with a standard onboarding journey, then adjust it by country, risk score, or user segment so low-risk customers pass quickly while suspicious cases face extra checks.

Onfido is often applied to meet compliance tasks such as KYC and AML during customer onboarding, periodic re-verification, or when user activity changes. Operations teams rely on automated decisions for most applicants and handle only the exceptions that need manual review, cutting queue time and keeping conversion high. When fraud pressure rises, workflows can be tuned to add stronger signals, detect repeated attempts, and block patterns linked to synthetic identities or organized abuse.

Product and risk teams typically connect Onfido to their existing stack: onboarding forms, CRM, case management, and payment or marketplace systems. Outcomes from the verification journey can trigger downstream actions like enabling features, setting limits, requesting more information, or escalating to a specialist. The same approach works for age-gating in gaming and content platforms, driver or courier screening in mobility, and seller verification in marketplaces where trust and speed both matter.