This issue is all about customer love, featuring some of our favorite customers, special offers, and much more!
Women make up just 30% of the fintech workforce — and only 10% of leadership roles. It’s time to change that. In this episode of Good Question, we're kicking off a special series on women in fintech leadership, starting with a powerhouse guest: Camilla Matias, COO of Brex.
Join Inscribers Angela Apinyavat and Brianna Valleskey as they sit down with Camilla to explore:
This conversation is packed with insights on breaking barriers, navigating leadership, and leveraging AI for fintech innovation. Don't miss it!
Logix Federal Credit Union replaced time-consuming manual document reviews with the AI Fraud Analyst, catching more fraudulent documents faster. The result? $3 million in fraud savings in under a year. See how they did it!

Fraud often extends beyond individual documents, involving insights that can only be uncovered by analyzing inconsistencies across multiple documents, data sources, and even other applications.
To address this challenge, we’re excited to introduce a new applicant-level fraud view that consolidates all risk signals associated with an applicant in one place!
Either way, we’d love your feedback! Join our AI Compliance Analyst beta to get early access, influence product development, and receive special pricing — all while working with an AI vendor pushing the boundaries of compliance automation.
Join the beta by requesting a demo→
We hope you enjoyed this month’s updates! Look out for more updates next month.
If you want to learn more about any of the updates included here, request time with an AI expert from our team.
Stephanie Spangler is the Head of Product Marketing at Inscribe, where she covers AI-powered fraud detection, document risk, and how financial institutions are adopting agentic AI. She writes on the intersection of product and practice — translating what fraud detection technology does into what it means for the risk teams using it.
Start your free trial to catch more fraud, faster.