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Making Vertical LLMs More Accurate, Auditable, and Defensible
In this American Bankers Association podcast, NuComply CEO Todd Cooper discusses how vertical large language models (LLMs) can make AI accurate, auditable, and defensible for banking compliance. The conversation explores why horizontal AI tools create trust challenges for financial institutions and how curated regulatory data, transparent audit trails, and domain-specific AI models enable banks to safely deploy AI within compliance programs.

Staff Writer
Jan 281 min read


The Old Way of Doing Compliance Is Dead
Legacy compliance programs built on manual reviews and reactive audits are no longer sustainable for modern banking regulation. Discover how AI-augmented regulatory intelligence helps compliance leaders manage regulatory change, reduce risk, and maintain full audit traceability—without removing human oversight.

Staff Writer
Jul 10, 20257 min read


Community Banks Can’t Afford to Wait on Compliance Modernization
Community banks are under growing pressure to manage complex, fast-changing regulatory requirements with limited staff and legacy systems. This article explains why compliance modernization is no longer optional and how AI-powered compliance management software helps banks stay aligned, audit-ready, and exam-prepared. Designed for compliance officers and risk leaders, it outlines practical steps to reduce regulatory risk and improve operational confidence.

Staff Writer
Jul 10, 20256 min read
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