EQ.app Field Note · Healthcare staffing payroll
What if your payroll team only reviewed the exceptions?
Inside a healthcare staffing workflow where digital workers check submitted timesheets, supporting evidence and payroll rules before a person needs to get involved.
By Marcus Sawyerr · 5 minute read
Weekly timesheet queue
CheckingHuman review queue
2 exceptions
The payroll team sees the records that need judgement—not every record that passed its checks.
If your healthcare staffing business processes hundreds of timesheets every week, the difficult part probably isn’t the 90% that are correct.
It’s finding the ones that aren’t.
A missing verification image. Hours that don’t reconcile. A holiday coded incorrectly. A rate that needs checking. A traveler under their contracted hours.
Yet in most payroll operations, somebody still has to look through a much larger queue just to find those exceptions.
We’ve been working on a different model.
What if the technology reviewed the queue, and your payroll team reviewed the exceptions?
01 · What the worker actually does
It checks the record before it asks for attention.
A timesheet is submitted. The digital worker checks the entered hours, supporting evidence, worker and assignment, contracted hours, task or payroll codes, rate information, overtime and other agreed payroll rules.
Then it decides what should happen next.
Timesheet submitted
Hours + codes
Evidence attached
Verification image
Digital worker
Runs the checks
- Entered hours
- Verification evidence
- Worker + assignment
- Contracted hours
- Task / payroll codes
- Rate information
- Overtime + agreed rules
02 · A small example
Sometimes the right automation is to wait.
In one healthcare staffing workflow, we found a very simple problem.
Sometimes a traveler submitted their timecard before the supporting verification image had arrived.
The obvious automation would be to immediately flag that record to payroll.
But that just creates another unnecessary task.
So the worker does something different.
It waits. It checks again every five minutes. It gives the evidence three hours to arrive.
Only if the image is still missing does it bring the record to payroll.
03 · Put the economics in one visual
What could this mean for a payroll team?
450
timesheets / week
4 min
current review
1 min
focused review
Illustrative assumptions only. Replace them with your own volumes, handling time and loaded cost in the EQ.app calculator.
Illustrative capacity
~23
hours / week returned
$3,702 / month
illustrative capacity value
04 · Start with the pilot
Don’t hand payroll over to an AI system.
I’m not suggesting a healthcare staffing business hands payroll over to an AI system.
In fact, I’d start at the opposite end.
Give a digital worker read-only access to one workflow for one payroll cycle.
Let it check the records. Let it identify the exceptions. Let your payroll team decide whether it got them right.
Then measure
- How much manual checking disappeared
- How many exceptions were caught before cutoff
- How many false positives it produced
- Whether exceptions were resolved faster
- Whether post-payroll corrections reduced
The question isn’t whether AI can run payroll.
How much of the work your payroll team does today actually requires a payroll professional?
Healthcare staffing payroll · 15-minute workflow comparison
Compare your current workflow with what we’ve built.
If you’re running payroll inside a U.S. healthcare staffing business, 15 minutes is probably enough to see whether there’s a useful read-only pilot.