LinkedIn
X
Visit WebsiteAmount reduced fraud and Increased operational efficiency after transforming their document review process with Inscribe
Amount
John Lynch
Senior Director of Fraud & Verification Services
Inscribe
Inscribe helps companies detect fraudulent documents so they can trust their customers and grow faster. Inscribe’s Risk Intelligence helps companies identify trustworthy and creditworthy customers in seconds with the power of AI. By automating manual document reviews, Inscribe customers can reduce fraud rates and credit losses while increasing customer win rates and employee efficiency.
Case Studies
Showing 10 Inscribe Customer Success Stories
Camino Financial saves 30 minutes on every application and $60K for every fraud case prevented
Camino Financial
Jose Anzaldo
Senior Credit Originations Manager
Crédito Real turned 30-minute manual document reviews into 8-second automated reviews with Inscribe
Credito Real
Mike Mulrooney
Project Director of Operational Efficiency
Gig Wage reduced customer onboarding time by two days after automating fraud detection and document collection with Inscribe
Gig Wage
Amy Quarles
Compliance Manager
GSC saved substantial eviction costs and gets income verification in seconds with Inscribe
GSC
Katisha Kersey
Director of Administration
Mercari reduced fraud exposure and improved compliance while reducing screening times by 20%
Mercari
Christian Townsend
Director, Anti-Financial Crimes & AML Compliance
Navan expanded their total addressable market while intelligently managing risk with Inscribe
Navan
Rajat Bhatia
Senior Director & Head of Risk Management
Plaid improved application processing times, increased confidence in decision-making, and optimized resources with Inscribe
Plaid
Rohan Sriram
Product Manager
Ramp reduced application processing times by 30 minutes and saved $300K in fraud with improved accuracy
Ramp
Alex De Jesus
Head of Fraud
VIVA Finance reduced their application response time to less than 1 day with Inscribe
VIVA Finance
Sara Vozeolas
Sr. Operations Analyst
No matching case studies
