Maintaining Oversight and Trust as AI Adoption Grows Any discussion about the future of AI in banking must address governance and control. AI should not select methodologies, determine forecasts or apply qualitative adjustments. Those responsibilities must remain firmly within management’s purview. Where AI adds value in CECL is by supporting execution around established management decisions. One of the most resource-intensive parts of the process is documentation. Allowance results must be supported by clear, regulator-ready explanations that answer questions such as: • Why did the allowance change this period? • How were economic conditions incorporated? • Which assumptions had the most impact? AI offers a practical way to improve consistency and ensure compliance when answering these questions. Generative AI can help transform structured CECL data into complete, standardized narratives, making explanations easier to produce, review and maintain across reporting periods. The result is stronger documentation quality with fewer opportunities for omission or unfounded assertions. When used thoughtfully within well-governed systems, AI becomes a natural extension of modern CECL platforms. It The future of CECL closely mirrors the future of AI in banking as a whole. reinforces process discipline, supports audit readiness and helps institutions operate more efficiently without compromising transparency or control. This approach reflects the broader future of AI in banking: responsible innovation that strengthens oversight, improves outcomes and builds confidence with regulators and stakeholders. The Broader Impact of AI on CECL and Banking Strategy Looking ahead, the future of AI in banking will be shaped by usability and integration. Institutions that combine CECL expertise with modern automation and applied AI will be better positioned to reduce risk, improve efficiency and communicate results with confidence. For CECL teams, this means seeking solutions that simplify execution, support consistent analysis and help derive greater value from the decisions they have already made. These capabilities reflect a broader shift across banking, where AI is becoming a practical tool for improving efficiency, accuracy and insight across core processes. The future of CECL closely mirrors the future of AI in banking as a whole. Progress will continue to be driven by thoughtful innovation that improves outcomes while maintaining strong governance and professional judgment. Kate Randazzo is a content marketing manager at Abrigo, where she works with industry thought leaders to create digital content that helps financial institutions better serve their customers. Before joining Abrigo, Kate managed social media and produced articles for Campbell University’s quarterly magazine and other university content initiatives. She earned her bachelor’s degree in strategic communication and professional writing from Miami University. 9 In Touch
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