Case Study: Plaid improves application processing and fraud detection with Inscribe

Plaid improved application processing times, increased confidence in decision-making, and optimized resources with Inscribe

Plaid, the fintech data network behind income verification for lenders, needed a way to assess the trustworthiness of document-based income submissions when direct payroll or bank connections weren’t available. The challenge was fraud detection: manual reviews of uploaded documents could take hours or days, and Plaid wanted a faster, more reliable way to verify documents as part of its Document Income process. To solve this, Plaid evaluated Inscribe’s document fraud detection, document classification, and document parsing capabilities.

Plaid implemented Inscribe to analyze uploaded documents and images for tampering, forgery, and other fraud signals, while also providing trust scores and clear explanations of what had been altered. With Inscribe, document reviews were completed in under 30 seconds, and the pilot showed that 50% or more of applicants could be automated with no wait time for customers. Plaid said Inscribe improved application processing times, increased confidence in decision-making, and helped optimize resources.

Plaid

Rohan Sriram

Product Manager