On July 14, 2026, Greenshades hosted a live webinar on a problem most payroll teams are living with but rarely name directly: the structural gaps that make payroll harder than it needs to be.
Katherine Diersing, VP of Client Success at Greenshades, led the session alongside Rachel Moberg, Director of Lifecycle and Customer Growth. Katherine and her team work with payroll organizations across staffing, healthcare, construction, and transportation — through implementation, go-live, and long after. What she brought to this webinar wasn't theory. It was pattern recognition from hundreds of client engagements.
This recap covers everything from the session:
Watch the full recording here:
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Most payroll operations were built for a specific point in time. As organizations grow — more employees, more states, more pay types, more systems — the processes that once worked quietly stop working as well.
The instinct is often to find better software. Katherine's observation from years of client work: the teams that scale well tend to do two things in a specific order. They fix the process first. Then they find the technology that fits. Flip that order, and even solid software can struggle to deliver what it promised.
Five structural pressures compound as organizations grow:
None of this is avoidable. But complexity and chaos are two different things — and only one of them is structural.
The short answer
What actually causes payroll instability? Rarely the calculations. Across hundreds of implementations and thousands of pay cycles, Greenshades' client success team has found the real culprit is structural: gaps in discipline, ownership, and process design.
The five patterns below are where that risk tends to accumulate — and where most teams find two to four familiar situations.
These patterns don't start as big problems. They start as reasonable responses to real situations: a one-time exception, a system added without updating who owns it, a change that moved faster than the communication around it. They build slowly. And they're where business risk quietly accumulates.
What it looks like: No firm deadline — or one that's treated as a suggestion. Time trickles in throughout the processing window, compressing the review period and leaving less time to catch errors before the run has to close.
10–25%
More time spent running payroll each cycle for teams with loosely defined time submission windows, according to Greenshades client success data.
The business risk: When a late timesheet gets folded into an active run, it doesn't just add work — it stops the process. Getting back up to speed costs more than the interruption itself. Every stop-and-restart during a live run introduces risk to quality and accuracy.
What it looks like when it's fixed: A firm cutoff, a defined late-pay process, and leadership backing. The goal isn't perfect adherence — it's consistency. A defined process at 70–80% compliance still significantly outperforms no process at all. Critically, the cutoff doesn't have to mean someone gets paid late. It means the payroll team has adequate time to catch exceptions and still meet the same deadline.
What it looks like: Corrections from a prior period are still being worked when the next cycle opens. Multiple pay periods are effectively active at the same time, creating noise in the data and unclear labor cost visibility.
The business risk: Finance teams end up with payroll data they can't fully trust — which undermines labor cost reporting, margin analysis, and period-over-period comparisons. Katherine noted she's seen organizations carrying as many as ten open cycles simultaneously. At that point, the data isn't telling you what actually happened; it's telling you what happened plus what was still being corrected.
What it looks like when it's fixed: One period closes before the next opens. Corrections go through a structured process rather than getting silently absorbed into the next run.
What it looks like: Retroactive pay changes, corrections to prior entries, and other fixes happen regularly — not as exceptions, but as part of the routine workflow. They're absorbed into the run rather than tracked as distinct activity.
The business risk: Over time, payroll data reflects a mix of what actually happened and what was corrected. Leadership loses the ability to distinguish real labor cost changes from correction activity — which makes headcount, compensation, and efficiency decisions harder to ground in reliable data.
What it looks like when it's fixed: Adjustments get tagged and tracked separately. The goal isn't to eliminate them — that's not realistic. The goal is visibility: a trend line leadership can act on, and a pattern that can point back to a specific operation, manager, or field team that needs attention. That's a different story than running corrections in the background indefinitely.
What it looks like: Data originates across multiple systems — assignment details from a front office, pay rates from another source, hours approved somewhere else — and responsibility for validating accuracy at each handoff point is unclear or assumed rather than defined.
The business risk: Late-stage errors are the most expensive kind. Caught before the run, it's a fix. Caught after, it's an off-cycle correction with potential compliance exposure. The failure isn't usually negligence — it's genuine ambiguity. The payroll team assumed the front office caught any issues. The front office assumed payroll would catch them. Nobody caught them.
What it looks like when it's fixed: Explicit ownership at every handoff, revisited when systems or processes change. A defined answer to who checks what and when — and a clear standard for what "ready to hand off" actually means at each point in the process.
What it looks like: A process change, system update, or new compliance requirement rolls out without advance communication. Questions spike mid-processing-window. Every inbound question during a live run is an interruption — and every interruption introduces risk.
The business risk: Teams absorbing a new process while simultaneously running payroll are in prime conditions for errors and missed compliance requirements. The cost of a miss almost always exceeds the cost of the communication that would have prevented it.
What it looks like when it's fixed: Change goes out before it hits a live run. By the time the new process is active, most people have already absorbed it. The payroll team isn't learning and running at the same time.
Katherine's team works with payroll organizations across every size and industry. The teams that handle complexity well aren't necessarily the best-staffed or best-equipped. They're the ones who've built structure that absorbs complexity as the business grows.
Five observations from high-performing payroll operations:
Building these isn't the hard part. Maintaining them consistently and getting cross-functional buy-in to make them stick — that's where the real work lies.
Process discipline matters. But the structure of the payroll function itself — how it's organized and who runs it — either supports that discipline or works against it.
Most organizations fall into one of three models. For a full breakdown of the tradeoffs, read our in-house vs. outsourced vs. managed payroll comparison.
| Model | Control | Flexibility | Best for |
|---|---|---|---|
| Fully in-house | Full internal | High | Organizations with mature, stable payroll teams |
| Structured support | Shared | Flexible | Complex or growing payroll operations |
| Fully outsourced | Limited | Often rigid | Organizations wanting to offload execution entirely |
Fully in-house: Your team owns every step — and every risk. The upside is full control, flexibility, and deep institutional knowledge. The consideration: every structural discipline covered in this session has to come from within. When the team is stable and well-staffed, it works. When key people leave, the operation can be exposed in ways that take time to recover from. If your organization is already dealing with the underlying challenge of staffing a payroll function, the in-house model amplifies that vulnerability.
Fully outsourced: Execution moves to an external vendor. For organizations with low-complexity payroll, this can work well. The trade-offs are flexibility and visibility — outsourced models tend to come with rigid processes that don't adapt easily to complex environments, and your team's ability to understand and course-correct when something goes wrong is limited.
Structured support: An external partner handles execution and compliance infrastructure; your internal team keeps ownership and oversight. Katherine's framing: you're not handing off the wheel. You're adding a co-pilot who helps navigate the terrain. It's flexible enough to adapt to your specific environment, and structured enough to scale as you grow.
Not sure which model fits where you are? Take the payroll operations era quiz to find out where your team is — and where to go next.
A lot of what keeps payroll reactive comes down to one thing: teams that are stretched thin. They're running validation, chasing edge cases, managing off-cycle corrections, and doing the manual execution work — which leaves very little room to get ahead of problems.
Flex Payroll Agent is Greenshades' managed payroll service, designed to close that gap. A dedicated Greenshades specialist runs payroll on your behalf — inside your Greenshades account — with your team retaining full visibility and final approval on every run. Off-cycle runs and adjustments are included. Nothing gets posted without your sign-off.
It's not outsourcing. It's the structured support model Katherine described: execution support without giving up control. Learn what to look for in a managed payroll service — including the questions worth asking before you commit to any model.
From multi-state complexity to managed payroll support, see what it looks like when the structure actually works.
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