Dive in to learn how Inscribe's new AI Fraud Analyst conducts applicant research in under 90 seconds, explore the future of AI in risk teams, see how Inscribe is using LLMs to reduce false positives, and more.

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⚡ PRODUCT UPDATES

How our AI Fraud Analyst conducts applicant research in 90 seconds

Our new AI Fraud Analyst mimics the thought process of a human analyst but at superhuman speed. Here’s how: In under 90 seconds, our Analyst checks the legitimacy of applicants by analyzing their data in documents and confirming it via web searches. It verifies details such as applicant addresses, the connections between individuals and their addresses, company existence, the connection between the company and address, and more. It also provides direct links to its data sources, giving you insight and transparency into its decision-making process. Request a demo to learn more.

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‍⏰ FRESH CONTENT

Fintech 2030: Envisioning an AI workforce for risk teams

The future of financial services is here, with AI transforming how risk teams handle fraud, compliance, and credit decisions. In this blog, CEO & Co-Founder Ronan Burke explores how AI agents are cutting review times from hours to seconds, improving accuracy, and streamlining customer experiences. Lenders are already expediting onboarding, and this is just the beginning.

New Good Question podcast: AI Agents, can they fight fraud?

ICYMI, this episode of Good Question features expert fraud fighters and a live audience discussing the future of AI in fraud prevention, with ChatGPT playing a key role in the discussion. Hear Andrew Stone, SVP of Fraud Management at BHG Financial, break down the pressing issue of "operational toil" and what it means for risk teams in this AI-driven era.

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‍🔦 DID YOU KNOW?

Inscribe uses LLMs to reduce false positives & improve document automation

You may already know that we’ve been using large language models (LLMs) to power our AI Fraud Analyst, but we’ve also been using LLMs to take fraud detection and document automation to the next level. We've reduced false positives by 25% — giving you better accuracy while reducing noise! Read this blog to see how else we're using LLMs.

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.

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