BID® Daily Newsletter
Aug 4, 2025

BID® Daily Newsletter

Aug 4, 2025

Compliance Lessons for CFIs: The Roles of AI, Funding, & Culture

Summary: Recent enforcements highlight the cost of underfunding compliance. CFIs can stay ahead by embracing better compliance and AI solutions to bolster and streamline security.

In 1972, the Watergate scandal erupted when five men broke into the Democratic National Committee headquarters, setting off a chain of events that ultimately led to President Nixon’s resignation.
Among the many revelations from the ensuing investigations was a glaring lack of internal oversight. It wasn’t just what Nixon did himself, but the failure of controls, checks, and accountability that led to the downfall of an administration. The scandal permanently changed how government institutions approach internal risk — and how the private sector views the importance of compliance programs.
If the Watergate era taught us anything, it’s the danger of ignoring warnings. For community financial institutions (CFIs) in 2025, the warning signs are flashing. As financial crime becomes more sophisticated and regulatory scrutiny intensifies, recent enforcement actions show what can happen when bank and lender compliance is under-resourced.
Lessons Learned from the Cost of Complacency
Recent enforcement actions against large financial institutions serve as stark reminders of what’s at stake when compliance frameworks fall behind:
  • TD Bank’s $3B settlement for Bank Secrecy Act (BSA) and anti-money laundering (AML) failures is one of the largest in history. Regulators uncovered that the bank failed to adequately monitor trillions of dollars in transactions over several years, resulting in at least $670MM in unreported suspected money laundering activity. The bank is now subject to growth caps, branch restrictions, and mandatory third-party monitoring, in addition to financial penalties.
  • Bank of America, though not fined, received a formal cease-and-desist order in late 2024 for significant lapses in its BSA/AML and sanctions compliance programs. The OCC cited inadequate customer due diligence, repeated delays in filing Suspicious Activity Reports (SARs), and failures in internal governance and oversight.
  • Block, Inc., the parent company of Cash App, was fined $40MM for widespread AML and know-your-customer (KYC) failures. Regulators flagged numerous issues, including a lack of transaction monitoring for Bitcoin activity, SARs backlogs, and inadequate documentation and control procedures. An independent monitor is required for the company to oversee corrective measures.
In all cases, a common thread emerges: compliance programs that failed to scale with the speed and complexity of institutional growth. These well-known entities — despite vast legal teams and advanced systems — still stumbled when compliance became secondary to expansion.
For CFIs, underfunding compliance isn’t just risky — it’s also costly, exposing institutions to both regulatory scrutiny and lasting reputational damage.
Turning Risk into Readiness with AI and Analytics
Technology — particularly artificial intelligence (AI) and machine learning (ML) — can offer CFIs a compliance solution. AI is already transforming risk functions by detecting fraud in real time, analyzing transaction patterns, and enhancing KYC/AML monitoring by using predictive analytics to flag suspicious behavior before it escalates.
AI can also enhance underwriting by evaluating alternative data, such as payment history or business operations, enabling CFIs to extend credit more safely and inclusively. These tools help financial institutions mitigate bias and expedite processes while aligning with regulatory requirements.
However, rapid adoption without proper oversight introduces its own set of risks. AI explainability, model governance, and data integrity are essential. CFIs must ensure that third-party tools align with internal policies and that AI decisions are transparent, auditable, and bias-aware.
Of course, tools like predictive analytics and machine learning are only as effective as the frameworks that support them. Technology alone won’t solve these issues, but the right solutions can help scale human oversight. With proper governance, AI tools can monitor billions of data points, automate flagging systems, and provide 24/7 decision support to risk officers.
Cultivating a Culture of Compliance
Recent enforcement actions make one thing clear: compliance is no longer just about checking boxes — it’s about enterprise-wide resilience. While technology is crucial, it’s no substitute for a deeply embedded culture of accountability and risk awareness.
Effective risk management begins with leadership that views compliance not as a cost center, but as a strategic imperative. Executive teams and boards must champion a proactive stance, weaving compliance into broader organizational goals, not relegating it to the back office.
Training, internal audits, and clear lines of accountability remain essential for maintaining effective operations. Just as important is ensuring that all staff — from the front lines to the boardroom — understand the evolving threat landscape. Social engineering attacks and regulatory scrutiny are only intensifying, and every employee plays a role in prevention.
Too often, operational gaps stem from silos or the underestimation of exposure. A forward-looking risk culture requires cross-functional communication, consistent investment in compliance personnel and technology, and a shared understanding that regulatory excellence is foundational to institutional resilience.
Turning Compliance into a Competitive Edge
The current regulatory landscape doesn’t just favor proactive compliance — it demands it. CFIs that act now will be better positioned to avoid both penalties and reputational fallout. Here’s what that looks like in practice:
  • Invest in governance. Prioritize better compliance controls at the leadership level. Make it a standing part of board discussions and strategic planning, not an afterthought.
  • Upgrade your tech stack. Implement AI-powered solutions for modern concerns, like real-time fraud detection and interdiction. Ensure strong governance, AI explainability protocols, and model validation support those tools.
  • Train continuously. Always keep your employees informed about emerging fraud schemes and regulatory updates. Make compliance education as routine as operational training.
  • Break down silos. Establish clear communication channels between risk, compliance, IT, and frontline staff. Everyone in your institution should understand their role in safeguarding against financial crime.
  • Treat compliance as a competitive advantage. Institutions that can demonstrate robust risk frameworks will earn greater trust — from regulators, customers, and business partners alike.
From Obligation to Opportunity
Strong compliance doesn’t slow growth — it safeguards it. Robust compliance has become a competitive differentiator. In an era where consumers and businesses value trust and transparency, institutions with vigorous controls in place will earn well-deserved trust, enjoy greater client confidence, and a lower risk of lasting reputational damage.
Simply put, the stakes have never been higher. As financial ecosystems accelerate and fraudsters become more sophisticated, the institutions that thrive will be those that view compliance not as a burden, but as an integral part of their backbone.
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