Common Payroll Challenges to Address

So yesterday I called out that “payroll errors’” aren’t that. Payroll is the result. It’s the final stage in a chain of interconnected people, processes, systems, and data points. When any part of that chain breaks, payroll feels the heat. What should we do about it? We need to reframe the conversation. Shift from blame to shared accountability. Instead of pointing fingers at payroll every time there's an issue, we have to start looking at the bigger picture. Let’s break this down: Data Ownership Who owns what, and how is accuracy maintained? Bad payroll outcomes almost always start with bad data. Did someone forget to update an employee's salary? Miss a new hire’s start date? Enter the wrong tax code? Forget to flag a termination? That’s not a payroll error - that’s a data quality issue. Every team that inputs or manages employee data plays a direct role in payroll accuracy. But in many organisations, data ownership is fuzzy at best. And when ownership is unclear, accountability gets lost in the shuffle. Process Clarity Are the handoffs between teams rock solid or full of grey areas? Payroll is process driven. It's time sensitive. And it’s highly dependent on good timing and coordination across teams. But too often, the processes feeding into payroll are unclear, manual, untracked or dependent on one SME. Process failures upstream lead to errors downstream. Better documentation, automation, and ownership can close those gaps. System Accountability Is your tech stack aligned, or are you duct-taping integrations? Most payroll environments today involve multiple systems. And too often, these systems don’t talk to each other in real time, don’t sync reliably or worse, they don’t sync at all. The result? Data lags, inconsistencies and manual entry, fixes and ultimately errors. If your systems don’t work together, your teams won’t either. Payroll needs a connected tech ecosystem, not a collection of disconnected tools. Collaboration Culture Do teams work in silos or actually communicate when changes happen Changes that impact payroll, like promotions, bonus decisions, hiring freezes, PTO policy changes are happening constantly. But if those changes aren’t communicated cross-functionally, payroll can’t adjust in time. Too often, payroll is looped in after the fact. “Oh, we forgot to tell payroll” is not just a communication slip, it’s a breakdown in organisational alignment. Payroll needs to be at the table, not just on the email chain after decisions are made. Let’s stop treating payroll as the firefighter. Because the truth is, payroll isn’t the cause of most payroll errors, it’s the first one to detect them. Make data accuracy a shared goal.  Document and enforce your processes.  Invest in better systems and smarter integrations.  Build a culture where information flows across teams, not in silos. Accuracy in payroll is not just a payroll responsibility; it’s a business discipline. If you want fewer payroll errors, start upstream.

Many payroll problems show up long after the original mistake And that's what makes them expensive. Everything feels fine until a penalty notice or audit letter shows up. By then, the error is old and the cost is new. The good news is, many payroll issues are detectable early. You just need to know where to look. Here’s a simple review to run before small mistakes compound into bigger ones. 1.Recheck how people are classified. Ignore titles. Focus on three things: → Who controls how the work gets done → How the worker is paid and reimbursed → What kind of relationship exists on paper The IRS uses all three to determine classification. 2. Run all provider compensation through payroll. That includes bonuses, call pay, and productivity-based pay When compensation gets tracked separately or handled manually, quiet errors follow. 3.Review payroll taxes at least once per quarter. Late or incorrect filings don’t pause while you’re busy. They accumulate interest and penalties until someone catches them. 4. Revisit overtime classifications regularly. FLSA exemptions are based on duties. Roles shift. Responsibilities change. The classification doesn’t update itself. 5. Connect payroll to your books. If payroll data doesn’t flow into your books, labor costs are understated. Understated expenses result in a higher tax bill. Save this now. And return to it during a calm moment, not after a notice arrives. Payroll issues are cheaper to fix before they introduce themselves.

Most payroll issues I’ve seen aren’t one-off mistakes. They’re bugs buried in edge cases, legacy config, and interpretations no one’s questioned in years. You won’t find them in a sample or even in an annual audit. They show up by exception, be it an employee complaint, a new payroll manager, or onboarding a revised enterprise agreement That’s why we talk about debugging payroll Not in theory. We mean pressure-testing logic from end to end. Getting under the hood and surfacing the issues before they become public and expensive. Test every employee, every pay period, every entitlement. That’s what 100% coverage actually looks like and it’s the only way I’ve seen to build real confidence that payroll is doing what it should If you want to stay ahead of the next compliance issue, I'd suggest that this is the race to the start line

“We had to force it through Workday because payroll was due.” I get it. Payroll deadlines are non-negotiable. People have to get paid. But when payroll consistently becomes the reason to bypass process, validation, or data integrity, you’re setting yourself up for bigger problems down the line. Those problems look like: ⚠️ Manual overrides and payroll inputs that mask system issues ⚠️ Downstream errors from upstream data that was incomplete or submitted incorrectly ⚠️ Burnout from payroll teams constantly fixing what others pushed through Just getting it done isn't a sustainable payroll strategy. Especially in Workday, where so many upstream actions directly impact pay. Here are four ways to shift from survival mode to stability: 1️⃣ Create a payroll readiness calendar: Align upstream data entry (e.g., terminations, new hires, LOAs) with payroll deadlines and communicate clearly across teams. 2️⃣ Set checkpoints and cutoffs: Build in time to review and submit critical data (comp changes, tax elections, cost allocations, etc.) before payroll starts, so you catch it before processing. 3️⃣ Log manual changes and overrides: Track every “just get it done” moment. If something keeps happening, it’s not an urgency. It’s a process/configuration gap that needs to be addressed. 4️⃣ Partner across functions: HR, Finance, and IT actions can all impact payroll, positively or negatively. Meet regularly to align on what’s creating risk and where fixes and ownership actually belong. You can meet deadlines and protect data integrity when you stop treating payroll like an afterthought. What’s helped your team reduce last-minute scrambles before payroll closes? #WorkdayPayroll #HRTech #DataIntegrity #WorkdaySupport #PayrollOperations #CrossFunctionalAlignment #WorkdayOptimization #AbnormalLogic

Payroll is one of the few functions where everything has to be perfect, on time, every time, and everyone notices when it’s not. Without a good process, that pressure transforms into chaos. To be clear: a good payroll process won’t stop all payroll issues from happening but it should cut the time and energy your staff spends chasing down missing items before the pay run and making corrections later.   What separates a smooth payroll process from a hectic one? These are the best practices my team has picked up from working with thousands of SMB business leaders and payroll admins over the years: 3-5 Day Buffer Between Pay Period end, and Payday. Your payroll admins need enough time to chase late approvals, catch errors, and process changes without rushing. If time is due Monday, payroll runs Tuesday, and checks go out Wednesday, you can expect to have paycheck corrections, filing amendments and special pay runs on the back end. Where can you build in buffer? Integrated Data. Ideally time tracking and payroll pull from the same source data so information can flow quickly and automatically. But even if you calculate payroll on spreadsheets, see if you can consolidate the data into a master sheet that feeds payroll instead of pulling from multiple tabs or files. One Person Owns the Process Have one person own payroll from end to end with a documented backup who can step in during PTO or emergencies. When accountability is split across HR, finance, and operations, things can fall through the cracks and no one has full visibility. Minimal handoffs. Count how many people touch payroll data before it’s processed. Each handoff adds time, risk of miscommunication, and potential delays. Where can you streamline? For anyone who runs payroll, which of these practices hits closest to home? #Payroll #BestPractices #SmallBusiness #SMB #PayrollAudit 

New research from @UKG and @KPMG, revealed that organizations are losing 2–4% of total labor spend to “payroll leakage.” For large enterprises, even a 1% gap can translate into tens of millions of dollars annually.  What stands out in addition to this loss is the clear disconnect. Payroll is one of the largest operating expenses, yet it often lacks the visibility, ownership, and standardization we expect in other financial functions. At the same time, payroll teams are sitting on incredibly rich data but struggle to turn that data into insight. Many organizations track outputs like accuracy, but far fewer measure the metrics that honestly expose risk and opportunity.  One example: FTR (First Time Right) payroll measures how many payroll runs completed 100% correctly without rework, off-cycle payments, or corrections. This is a meaningful benchmark because it reflects complete execution, where cost and risk are actually realized. Across global companies, UKG One View achieved 91% FTR, which is an indicator of what’s possible when processes are standardized and visible end-to-end. As global complexity increases and AI matures, payroll has an opportunity to evolve from a back-office necessity to a strategic driver of financial and workforce decisions. Dive into more of the study here: https://lnkd.in/eDQX6BR8

Tiny HR Truth: Payroll isn’t the problem. Payroll is the last line of defense. In growing companies, payroll + benefits teams don’t “create” most mistakes - they absorb the chaos from messy inputs and unclear ownership. 💔 That’s when trust breaks: 😬 Changes come in late (or not at all) HRIS data is incomplete or inconsistent 🤪 Eligibility rules are unclear (or change without communication) Too many handoffs, too few controls 🛠️ Payroll/Benefits become the default “fixers” 🤯 Then leaders label it “a payroll issue.” It’s not. It’s a governance + workflow issue. One narrow outcome I deliver (for scaling orgs): ✅ I reduce payroll/benefits fire drills by fixing upstream ownership, controls, and data flow - so pay and benefits run without heroics. 💡 What that looks like in the first 30 days: 1️⃣ Map the top 5 “trust leaks” (where errors originate, not where they land) 2️⃣ Clarify ownership for job changes, eligibility triggers, approvals, deadlines 3️⃣ Put simple controls in place (so exceptions are visible before payroll closes) 4️⃣ Create one source of truth + a clean escalation path ‼️ If you’re hiring a Total Rewards / People Ops leader in a 50–200 employee company and you want fewer escalations + more predictable cycles, comment DEFENSE or DM me and I’ll share my “trust leak” checklist.