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79 uniquely influence an enormous amount of data can make selecting the right method a time- and labor-intensive process, which may reinforce the temptation to delay CECL preparation. Fortunately, financial institutions can greatly streamline what would otherwise be a daunting testing process by adopting CECL compliance tools enhanced with scenario- planning capabilities. With automated scenario planning, financial institutions can compare various pool segments, calculation methodologies, and even qualitative adjustments prior to finalizing their allowance for loan and lease losses (ALLL) reserve calculations. Essentially, that means organizations can easily test multiple methods and evaluate the results before committing to a specific one. e ability to test in different environments and scenarios shows how ALLL calculations may change. Understanding those changes and implications may enable development of better strategies and contingency plans to maximize profitability. Rather than giving into the temptation to procrastinate, financial institutions would be wise to push ahead on executing their CECL compliance strategy, using the extra time to evaluate automated scenario planning capabilities. at will help prevent a last-minute rush to meet the extended deadlines, providing organizations more time to achieve automation for streamlined CECL compliance, competitive differentiation, and long-term profitability. Rick Martin is Product Manager, Financial & Risk Management Solutions, Fiserv. Prior to joining Fiserv, he worked at SouthTrust Bank and Bank of America and holds degrees in both accounting and finance from the University of Georgia. Martin is a Georgia Certified Public Accountant (CPA) and has owned and operated a small public accounting firm for over six years. With automated scenario planning, financial institutions can compare various pool segments, calculation methodologies, and even qualitative adjustments prior to finalizing their allowance for loan and lease losses reserve calculations. Essentially, that means organizations can easily test multiple methods and evaluate the results before committing to a specific one.