BankFlow Insights
AI governance, regulatory compliance, and operational modernization - written by practitioners, not consultants.
On February 19-20, 2026, the U.S. Treasury released an AI Lexicon and Risk Management Framework for financial services. Here is what community banks need to know before their next examination.
AI compliance checks boxes. AI governance builds control. For community banks, the difference determines how your next examination goes - and whether your institution is actually in control of its AI risk.
SR 11-7 was written for a different kind of model. Agentic AI doesn't work that way. Here's where the 2011 framework still applies - and where community banks need to think beyond it.
Federal bank examiners are asking about AI in vendor systems with increasing specificity. Here's exactly what they're looking for - and how to answer without generating a finding.
Most community banks don't build their own fraud detection models - they buy them. SR 11-7 follows the model wherever it lives, including inside your vendor's platform.
Research
One-third of U.S. community banks already carry the financial profile of an acquisition target. Based on FDIC, Federal Reserve, and third-party research across 4,218 U.S. depository institutions, this report maps the structural divide separating acquirers from acquisition targets through 2030.
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