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Bank Compliance Testing: Re-engineered as a Business Superpower

For decades, bank compliance testing has been constrained by a simple reality: there are more transactions, files, disclosures, and regulatory requirements than compliance teams have time to review. Banks and credit unions have addressed that constraint through risk-based sampling—reviewing a subset of records and using the results to assess the effectiveness of the underlying compliance process.

Aug 314 min read

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.

Todd Cooper

1 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

7 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

6 min read