Punch failure monitor for hourly workforce managers

A shift manager running 30 hourly employees finds out about clock-in failures the hard way — payroll comes back wrong, an employee complains, or an admin spots a missing punch two days later. By then the employee can't remember exactly when they arrived, the manager has to guess, and someone's pay is either short or inflated. This is the moment that makes managers realize there's no early warning system between 'punch happened' and 'payroll processes.'

The gap persists because the HR software vendor selling the timeclock is also the one who would have to expose its own failure rates. Surfacing 'your timeclock failed 47 times this pay period' is commercially uncomfortable for ADP — it invites churn conversations. So the incumbent has a structural disincentive to build this, even though the need is obvious and recurring.

What's currently broken: managers only learn about missing punches after the fact, either when employees self-report or when payroll is reviewed. There's no real-time signal that a punch attempt was made but not recorded. Users describe 'the system does not allow employees to punch in under certain circumstances, resulting in no record of their attempts' — meaning the failure is invisible. Employees restart the app, try again, and assume it worked. Managers assume everyone punched. Both are wrong.

This is a business because every pay period produces a new batch of missing punches, and every missing punch costs time to correct — manager time, admin time, and sometimes a payroll adjustment. For a 50-person hourly workforce running bi-weekly payroll, even five corrections per cycle at 20 minutes each adds up fast. The buyer (operations manager or payroll admin) absorbs this cost every two weeks, indefinitely. It doesn't go away because the underlying timeclock reliability doesn't go away.

What to build

Build a lightweight agent that polls ADP Workforce Now's time and attendance API on a rolling basis, detects punch gaps or failed attempts against scheduled shifts, and texts or emails the direct manager within 15 minutes of a missed expected punch — before the shift ends, while the employee is still on-site.

Where to start

Start with restaurant groups and retail chains where a single manager oversees multiple locations and can't physically watch every clock — the cost of a missed punch is highest there, and a regional manager overseeing five sites will pay to avoid weekly correction calls from each location.

The hard part

ADP's API does not expose failed punch attempts — only successful ones — so detecting a failure means inferring it from a scheduled shift with no corresponding punch record, which produces false positives for late arrivals and requires calibration per customer to avoid alert fatigue before you've earned trust.

How it makes money

Monthly subscription per location monitored, priced around $49–$99 per location per month, with a setup fee for organizations with more than 10 locations to cover integration work.