How do I find out about overtime before payroll, not after?

Overtime discovered at payroll is not information. It is a bill. The hours are worked, the rate is fixed, and the only decision remaining is to pay it.

Everything useful about overtime data happens in the window between an hour being worked and the pay period closing. A timesheet reviewed at the end of that window arrives after every decision it could have informed. You can still analyse it, and companies do, but analysis of a cost you have already committed to is a reporting exercise rather than a control.

The system watches thresholds, and those thresholds are configured per company rather than assumed. That is a deliberate design decision, not a settings screen added for completeness.

What counts as excessive overtime on a utility crew working a shutdown is not what counts as excessive in an office, and it is not the same for a company running four tens as for one that is not. A product with a fixed rule compiled into it would be wrong for most of the companies using it, and being wrong in this particular way is expensive: an alerting system that fires constantly gets filtered into a folder within a fortnight, which is worse than never having built it.

When an employee crosses a configured guardrail, the project manager gets an email automatically. No report to run, no dashboard anyone has to remember to open, no weekly ritual that slips the first time a job goes sideways.

The hours, and the detail behind them. That distinction matters more than it sounds like it should.

An alert saying somebody is over a threshold is a prompt to go and find out what happened, which is a task rather than an answer, and tasks that arrive by email at four in the afternoon do not get done. An alert carrying the hours and the surrounding detail is something a project manager can act on inside the message. The difference between those two designs decides whether the system gets used or quietly ignored.

Alerts are good at the incident and bad at the pattern. Each one arrives on its own, and a manager reading a single threshold crossing has no way to tell from that email whether it is unusual, whether it has happened to the same person four weeks running, or whether it is the third one on that job this month.

So there is a second layer. AI analytics track overtime across time rather than judging single incidents in isolation, which is what separates excessive or abused overtime from a genuinely busy week. The alert tells a project manager what to do today. The analytics tell the company whether something is actually wrong.

Most products in this space build only the first layer, because alerting is easy to demonstrate and pattern analysis is not. The first layer on its own produces a manager who receives a lot of email and learns nothing from it.

The alert is routed to the person who can change the schedule, because changing the schedule is the only response that costs less than the overtime does. Sending it to payroll produces a more accurate forecast of a number nobody can now move. Sending it to an owner produces awareness without a lever.

This tool sits alongside automated submittals, the invoice parser and the rest of the AI suite built across Patriot Pipeline's office operations.