Thursday, August 20, 2026
2:00 PM ET / 1:00 PM CT
2:00 PM ET / 1:00 PM CT
If your CECL process ends once the allowance number is booked, your institution may be missing much of its value. A well-supported CECL process should help your team understand what is driving the results, explain changes clearly, and use those insights to support credit risk management and decision-making.
Join Abrigo and Susan Weber of BerryDunn for a practical discussion on making CECL more explainable, defensible, and useful. We’ll discuss how AI can help teams ask better questions about their loan portfolios and allowance results, investigate trends, support scenario planning, and use benchmarking more efficiently while keeping professional judgment at the center of the process.
You will learn how to:
- Better understand and explain the factors driving your allowance results
- Strengthen the defensibility and validation of your CECL process
- Use CECL results to support credit risk management and informed decisions
- Apply AI to investigate portfolio and allowance data more efficiently
- Identify where benchmarking and AI-supported analysis can add practical value
Meet Your Presenters
Neekis Hammond, CPA
Vice President, Portfolio Risk Sales and Services
Abrigo
Neekis Hammond has amassed a wealth of knowledge on ALLL, CECL preparation and methodologies, and various portfolio analysis and risk topics. Prior to his consulting work, he worked on acquisitions up to $2 billion in size at a multi-billion-dollar financial institution.
Susan Weber
Director, Financial Services Practice Group
BerryDunn
Susan Weber brings over 26 years of public banking and consulting experience to her role at BerryDunn, where she leads the firm’s Current Expected Credit Loss (CECL) model validation engagements and the Environmental, Social, and Governance (ESG) Task Force. Prior to joining the firm, she spent more than a decade
