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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
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