Fed overhaul underway: Federal Reserve Vice Chair for Supervision Michelle Bowman is leading a major revamp of bank regulation in the U.S., emphasizing tailored oversight, improved capital frameworks, and streamlined stress testing for both large and regional banks (reuters.com).
Risk recalibration: Bowman’s approach includes reassessing the enhanced supplementary leverage ratio and stress-test transparency to support economic growth while preserving safety (ft.com).
Wells Fargo turnaround: Relief seen as Wells Fargo’s asset cap is lifted, reflecting progress in governance, controls, and AML remediation since past enforcement actions (barrons.com).
Insight: Compliance teams must adapt to more dynamic supervisory frameworks and shifting capital standards, moving from rigid compliance toward nuanced, bank-specific oversight.
According to CSI and Protiviti:
Community Reinvestment Act (CRA) modernization—driving banks to enhance CRA-related policies, data collection (via Dodd-Frank Sections 1071/1033), and low-income inclusivity (protiviti.com, csiweb.com).
Financial crime compliance—with regulators promoting AI tools for AML/CTF detection (csiweb.com).
Cloud risk—supervising third-party/cloud platforms amid complex data environments (ft.com).
AI & digital innovation—balancing new tech with controls on bias, explainability, and operational risk (en.wikipedia.org).
Operational resilience & cyber risk—integrating cyber defences, MFA, and blockchain across digital channels .
Insight: Banking compliance must span community obligations, financial crime, vendor/cloud governance, AI risk, and cybersecurity in a holistic program.
🔄 3.1 Regulatory Change Management
AI-driven platforms (Compliance.ai, Corlytics) deliver real-time updates and actionable regtech workflows tied to FCA, Fed, ESMA, and other regional rules (financialbrandforum.com).
🔎 3.2 Financial Crime & AML Tech
Tools like ComplyAdvantage and Facctum automate KYC, sanctions, transaction monitoring, and AI-driven risk scoring across jurisdictions .
⚙️ 3.3 Process Mining & Blockchain
Techniques detect divergences from standard processes, while blockchain offers auditable, tamper-proof records—ideal for transaction control and ESG capital risk frameworks .
🧠 3.4 AI Governance Engines
AI platforms support pattern detection across compliance programs; however, human oversight remains crucial to manage model bias and false positives .
Phase |
Focus |
Outcome |
1. Risk & Reg Map |
Assess regional rules (CRA, GLBA, MiFID II, Basel III Endgame) across business lines (en.wikipedia.org) |
Prioritized compliance coverage |
2. Tech Evaluation |
Identify tools for regulatory tracking, AML, process mining, and AI governance |
Assembly of modular RegTech stack |
3. Pilot & Integrate |
Run pilots integrating GRC, AML, and ERP systems via APIs |
Real-time compliance workflows |
4. Governance & Training |
Assign clear oversight roles and conduct scenario-based training to maintain controls during reforms |
Strong risk culture |
5. Monitor & Adapt |
Use metrics from change logs, AML alerts, breach events, audit findings for quarterly reviews |
Continuous improvement |
Basel III “Endgame”: Finalised capital reforms will come into effect July 2025—banks must recalibrate risk-weighted assets and CET1 ratios (en.wikipedia.org).
Potential deregulation push: Democrats and Republicans may ease burden on smaller banks, but AML and financial crime rules are unlikely to loosen .
AI regulation in fintech/banking: Regulatory frameworks for explainable AI and cybersecurity in financial services are gaining momentum globally .
Insight: Compliance teams should proactively model the impact of Basel III parameters, balance efficiency with regulatory rigor, and embed AI governance controls early.
✅ Final Takeaways
Banking compliance is evolving—from static compliance checkboxes to agile, tech-enabled ecosystems capable of handling dynamic regulations, digital banking risks, and compliance with societal expectations. By forging integrated strategies—combining regulatory intelligence, AML monitoring, process analytics, and AI governance—banks can not only achieve compliance but also enhance operational resilience and trust.
💬 Join the conversation:
Which regtech tools are you using for AML, regulatory tracking, or AI governance?
How are you preparing for Basel III Endgame and evolving CRA obligations?
Where are you integrating process-mining or blockchain in your compliance workflows?
Share your experiences and best practices below—we’re all navigating this evolving compliance frontier together!
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