Automated payroll processing without the file surgery.

Automated payroll processing is the use of software to calculate gross-to-net pay, taxes, and deductions and to produce the payroll run without manual calculation. The term mostly refers to payroll software — the system that holds the run. In staffing-heavy operations the harder half is the input: turning the scheduling system’s raw export into a file the payroll system will accept. That preparation — reading the export, applying facility, rate, and roster rules — is what can be automated without changing payroll systems.

Both — timesheet automation is the upstream half of the same job. The AI agents read the timesheets wherever they arrive — Dropbox, email, the scheduling system’s export — and validate each line against your roster and rate rules: a known provider, the correct facility, the right rate for the shift type. Clean timesheets flow into the upload-ready payroll file; only the exceptions reach a person, with the rule behind each one documented.

Yes. The payroll system stays the system of record; the automation sits in the gap between the scheduling system and the payroll run. Encoded rules — facility-name normalization, per-facility and shift-type rate tables, roster matching, amendments — are applied to each raw export, and the output is an upload-ready file plus an exception queue. No migration, no new payroll vendor. A scheduling system with no API is the normal case, not a blocker: a headless-browser scrape, a PDF parse, or an inbox read are all in-scope delivery patterns.

Because the file is assembled upstream of the payroll system, by hand. The flags — missing facility setup, missing provider, missing payroll IDs — come from the gap between the two systems: facility names that don’t match the setup, typo variants in the location column, providers not yet in the rate table, amendments that arrived by email after the last export. Nothing holds your rules, so each cycle’s payroll CSV regenerates the same mismatches, and someone clears them one by one before the upload will take.

Rates are encoded as a table, not remembered: per facility, and per shift type where it matters — call time versus regular time, premium-pay deals for specific facilities. Amendments are applied to the table as they arrive, including the ones that arrive by email. When a new provider can’t be matched against the roster, or a rate nobody encoded shows up, the line lands in an exception queue for a person instead of silently calculating wrong. This is the standard pattern in healthcare payroll services, where each payee may be a contractor with facility-specific rates.

Run it in parallel and compare line by line. The new system processes the same raw export alongside the manual payroll for one or more cycles, and every line is compared against the hand-built result until the outputs match. Exceptions are the point, not a failure: anything the rules can’t clear is queued with the rule behind it documented, so a person reviews the judgment calls. Trust is earned on matching output before the system touches a live run.