Run CECL like a process, not a scramble.

Empyrean CECL is CECL software for community banks and credit unions that replaces manual, spreadsheet-based loss estimation with a governed, repeatable quarterly process built to produce a reliable loss estimate every time.

It’s natively integrated with Empyrean Dataverse®, the single, unified platform behind Empyrean’s ALM, liquidity, and planning modules, so the reserve estimate and the ALM forecast are never built on two different views of the same economy.

Empyrean CECL supports Loss-rate, Weighted Average Remaining Maturity (WARM), Roll-Rate, Probability of Default and Loss Given Default (PD/LGD), and Discounted Cash Flow (DCF) methodologies, so each pool is modeled with the method that fits it.

CECL stands for Current Expected Credit Loss. It’s the accounting standard under ASC 326 that replaced the older incurred loss model: instead of waiting until a loss is probable, every institution estimates lifetime expected credit losses on its entire loan portfolio from the moment a loan is originated.

For large banks, CECL is a modeling exercise handled by dedicated risk teams. For community banks and credit unions, the CFO usually runs it personally, in a spreadsheet or a point solution bought to get compliant quickly. The estimate is only as good as whoever rebuilt the spreadsheet that quarter, and it’s hard to know whether the number still reflects the portfolio.

CECL matters here not just because it’s a regulatory requirement, but because it forces a real, ongoing estimate of loss risk across the whole loan book. Institutions that treat it as a repeatable, well-supported process get a reserve they can stand behind and a clearer read on where loss risk is building.

The compliance deadlines passed years ago, but the burden hasn’t gone away. Economic volatility makes it harder to know whether the reserve still reflects the portfolio, which keeps the workload high even for institutions that have been compliant for years.

The core challenge is doing three things at once: estimate lifetime credit losses using forward-looking economic assumptions, keep a clear record of those assumptions so the CFO can explain how the number was built, and repeat the process accurately every quarter. What still gets in the way:

▪ Limited historical loss data. Many community banks have too few defaults in their history to build statistically reliable models.

▪ No internal credit modeling expertise.

▪ A manual, quarterly process run in Excel or a basic vendor tool.

▪ Difficulty validating and documenting Qualitative and Environmental (Q and E) factor adjustments.

▪ Ongoing uncertainty about whether this quarter’s reserve is tracking the portfolio or just repeating last quarter’s assumptions.

Many institutions completed their initial CECL transition during or after COVID, when actual loan losses were abnormally low. Some under-reserved and have seen volatile estimates ever since, which makes it hard for the CFO and board to trust what the number is telling them.

▪ Spreadsheet fragility. Excel has no workflow, no version control, and no built-in record of how a number was built, so one formula error can compromise a quarter’s work.

▪ No record of how the number was built. Every assumption, methodology choice, and calculation is captured in real time, so you always know what’s driving the reserve.

▪ Key-person risk. At most community banks, one or two people understand how the model works. Empyrean embeds the process in the system, so the model doesn’t walk out the door when that person does.

▪ Disconnected systems. Because CECL is natively integrated with Empyrean ALM, liquidity, and planning on one platform, the assumptions and results already agree. There’s no separate reconciliation step.

▪ Rigid implementations. Launch with a foundational loss-estimation methodology and add scenario analysis and sophistication over time, without a rip-and-replace event.

Empyrean CECL supports the methodologies most commonly used by community and mid-sized institutions: Loss-rate, Weighted Average Remaining Maturity (WARM), Roll-Rate, Probability of Default and Loss Given Default (PD/LGD), and Discounted Cash Flow (DCF). The pool drives the method, not the other way around.

Empyrean doesn’t force a single approach. Banks with limited historical loss data often start with WARM and bring in peer Call Report data for benchmarking. Institutions with more data and more complex portfolios can use PD/LGD or DCF for specific pools while keeping simpler methods for others. You can also bring your own credit risk parameters, or source them externally. Institutions that need to load and derive those parameters internally may use Empyrean Model IQ alongside CECL.

Think of it as a glass box. Empyrean CECL is built around the three things that make a CECL process trustworthy: transparency, consistency, and documentation. Those are the same three things auditors and examiners look for, because they’re the same things a CFO needs to trust the number.

▪ Transparency. Every number in the calculation has a clear lineage. Empyrean keeps a complete, always-current record of inputs, assumptions, and outputs, so a reserve estimate traces back to its source without the CFO reconstructing the logic from memory.

▪ Consistency. The structured workflow applies the same methodology the same way each quarter, so changes in reserve levels reflect changes in the portfolio or the economy, not inconsistencies in how the model was run.

▪ Documentation. Assumption choices, Q and E factor adjustments, and scenario selections are recorded as they’re made, so the CFO has a clear answer for how a number was calculated, whether the question comes from the board, an examiner, or next quarter’s own review.

Excel is free, familiar, and capable of producing a CECL estimate. It’s also fragile in ways that matter more as institutions grow and portfolios get more complex.

▪ No workflow. Files get emailed, renamed, and edited without version control, and a formula can be overwritten by accident.

▪ No record of how the number was built. Walking through the methodology, for a board member, a new CFO, or an examiner, usually means reconstructing it from memory and notes.

▪ No scalability. A portfolio that doubles in size means double the manual data entry and reconciliation, and double the opportunity for error. Many institutions comfortable with Excel at $500 million find it unmanageable at $1.5 billion.

Empyrean CECL automates the calculations and documentation, creates institutional knowledge that survives staff turnover, and scales as the loan portfolio grows. The move from Excel to Empyrean is a shift from a personal, manual process to a governed, repeatable one.

Empyrean CECL is natively integrated with Empyrean Dataverse®, the single, unified platform behind Empyrean’s ALM, liquidity, and planning modules. That shared architecture is what differentiates Empyrean from other CECL vendors serving community and mid-sized institutions.

In practice, the economic assumptions driving a CECL estimate, such as interest rate forecasts, prepayment expectations, and credit loss projections, are the same assumptions in the institution’s ALM model and budget. There’s no separate data feed, no reconciliation spreadsheet, and no risk that a CECL reserve and an ALM stress test are built on different views of the economy. For CFOs managing all three at once, that removes one of the most time-consuming parts of the close: explaining why numbers from three systems don’t agree.

Yes. Empyrean CECL supports institutions that bring their own credit risk parameters, including internally developed PD and LGD estimates, proprietary prepayment assumptions, and institution-specific Q and E factor frameworks. A bank that has already done the analytical work never has to redo it to fit someone else’s model. Institutions that prefer peer Call Report data as a benchmark can do that instead.

Your assumptions, your models, no vendor lock-in. Empyrean doesn’t impose a black-box model the CFO can’t explain. Every assumption can be documented, justified, and traced, so the CFO always knows why a specific Q and E adjustment was made, whether the question comes from the board, an examiner, or their own next-quarter review.

Many community banks hesitate to adopt a vendor solution because they fear the learning curve and the disruption to their quarterly close. Empyrean lets institutions start with straightforward CECL compliance and add sophistication over time. A bank can launch on WARM with conservative assumptions, complete its first quarterly close, then add approaches like PD/LGD for specific pools or scenario analysis as the team builds confidence.

That reduces adoption risk during the first close and avoids a rip-and-replace event later. A bank that starts at $1 billion and grows to $5 billion doesn’t need a new CECL platform. It also reflects how CECL actually works: there’s no requirement to use the most complex methodology available, only that the one you choose fits the portfolio, is applied consistently, and produces an estimate the CFO can stand behind.

Q and E factors are the most judgment-intensive part of any CECL process, and the area where community bank CFOs most want confidence in their own reasoning. Adjustments need a clear, consistent rationale applied the same way quarter over quarter, so the reserve reflects real changes in risk rather than a different judgment call.

Empyrean CECL provides a structured Q and E framework that captures the rationale for each adjustment at the time it’s made, so the CFO always knows why, whether the question comes up in a board meeting, a self-review, or an exam. It handles qualitative adjustments based on internal factors, such as changes in underwriting standards or portfolio concentration, and environmental adjustments based on external factors, such as regional economic conditions or industry stress. It’s flexible enough for institution-specific factor definitions while keeping the documentation structured.

The CFO completes the quarterly close without a scramble. Every assumption is documented and traceable as it’s made. And quarter over quarter, the CFO knows the reserve reflects what’s actually happening in the portfolio, without calling a vendor or hunting for last quarter’s spreadsheet version.

Success isn’t about having the most sophisticated model. It’s about confidence, control, and consistency, including consistency between the bank’s CECL numbers and what its ALM model and budget say about the economy. When risk and finance disagree, the bank is making decisions on two different views of the same portfolio.

A well-run CECL process is a quiet one. It runs in the background, produces a reserve the CFO trusts, and doesn’t consume the CFO’s personal time every quarter. That’s what Empyrean CECL is designed to deliver.