Ask the Principals

Our leadership team tackles tough questions from plan sponsors like you.

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Frequently Asked Questions:

A: Many organizations are. Over time, critical plan knowledge often becomes concentrated in a single individual who understands the plan’s history, vendors, procedures, compliance requirements, and unwritten practices. As long as that person remains in place, the arrangement may seem to work well. The problem becomes apparent when they retire, resign, or are unexpectedly unavailable.

In many cases, key information isn’t fully documented. Important plan records may be scattered across shared drives, email folders, and individual desktops. Vendor oversight responsibilities, compliance calendars, governance procedures, and historical decision-making may exist primarily as institutional knowledge rather than formal documentation. When that knowledge walks out the door, the organization can find itself exposed to operational disruptions, compliance failures, and fiduciary risk.

SBA helps plan sponsors strengthen their governance framework by documenting responsibilities, establishing procedures, centralizing critical information, and creating continuity plans that reduce dependence on any one individual. A well-governed retirement plan should be able to withstand personnel changes without losing the knowledge and oversight needed to operate effectively.

A: Even well-designed calculation programs can produce errors over time. We’ve seen situations where calculation logic was inadvertently affected by unrelated system changes, where unique participant scenarios weren’t fully accounted for, or where an incorrect interpretation of plan provisions was built into the original programming. Because these issues can persist unnoticed for years, plan sponsors benefit from proactively reviewing calculations on a regular basis rather than waiting for a participant complaint, audit, or retirement event to uncover a problem.

When errors are identified, the consequences can be significant. Underpayments may require corrective payments with interest, while overpayments can be difficult—or impossible—to recover. In either case, errors can lead to compliance concerns, audit findings, and frustrated participants.

Issues often stem from outdated plan provisions, incomplete or inconsistent data, or incorrect application of formulas. And because many plans have years of amendments and special cases built in, those errors aren’t always obvious until a benefit is paid or reviewed.

SBA helps plan sponsors address both the causes and consequences of calculation errors. We perform targeted reviews of calculation logic and sample populations to identify issues early, before they become widespread problems. When errors are discovered, we validate the impacted population, underlying data, and applicable plan provisions, then work through correction strategies and help ensure calculations are accurate going forward. Getting it right isn’t just about precision—it’s about avoiding rework, reducing risk, and maintaining participant trust.

A: It can. Many significant correction projects begin with a relatively small mistake that affects a large group of participants over an extended period of time. An incorrectly programmed formula, an overlooked plan amendment, a payroll data issue, or a misinterpretation of plan provisions may seem minor at first, but the impact can grow as the error continues undetected.

The challenge is that these issues often don’t reveal themselves immediately. A calculation can appear reasonable on an individual basis while still producing incorrect results across hundreds or thousands of participants. By the time the problem is discovered, plan sponsors may face corrective payments, compliance concerns, participant communications, and substantial administrative costs.

SBA helps plan sponsors identify potential issues before they become widespread problems through operational audits, compliance reviews, calculation testing, and data validation. By comparing plan provisions, administrative procedures, system configurations, and actual results, we can uncover discrepancies early—when they are typically easier, less costly, and less disruptive to resolve.