Healthcare workforce management software that starts with your rules.
Your clinicians’ timesheets arrive as spreadsheets full of flagged rows. Our AI agents validate and repair the file before it touches payroll.
Official services partner of the platforms defining AI
NVIDIA
Anthropic
The payroll file arrives broken. Someone fixes it by hand.
From operations and payroll leads at an anesthesia and clinical staffing company — W-2 and 1099 clinicians across dozens of hospital sites, timesheets exported from a legacy scheduler.
Flagged rows, every single run
Missing facility setup, missing provider, missing payroll IDs, missing pay rates — every payroll run opens with flagged rows someone clears by hand.
Call rate versus regular rate
Regular rate 350, the call-in rate’s 500 — per clinician, per facility. The rate table lives in someone’s head, not in any system.
Locums converting to 1099
A locum converts — 170 an hour, call is 200 — and payroll now runs W-2 and 1099 clinicians with different terms per facility.
One row, two facilities
Daytime shift at one hospital, on call at night at another — the location field reads facility A, comma, facility B. Matching breaks.
“Admin time, admin time”
Rows with no facility at all — it just says admin time, admin time — and three-shifts-in-one-day exports triplicate the location string.
The rule nobody can configure
The ask keeps coming back to one line: just let me tell it the rule — if role is blank, location is non-clinical — in plain language.
The spreadsheet gets hand-cleaned every two weeks.
What the manual way costs at a clinical-staffing payroll desk. Your numbers will differ — one cycle’s raw export puts figures on yours before anything gets built.
From an anonymized engagement — an anesthesia and clinical staffing company, dozens of hospital sites
Your rules become the engine.
No business rules engine software for your team to configure. The ops lead states the rule in plain language; our AI agents apply it to every row of every export.
- 01
Diff one payroll cycle
We take one cycle’s raw scheduler export and the hand-fixed final file. The diff between them is your rulebook — documented, and yours to keep.
- 02
Encode the staffing rules
Call-versus-regular rate tables per facility, locum-to-1099 conversion terms, multi-facility location parsing, admin-time handling, roster matching for new clinicians.
- 03
Agents run the file; people judge the exceptions
AI agents validate and repair each new export against the rulebook. Rows that break a rule queue for a person — never silently wrong.
Healthcare payroll software holds the run. It doesn’t hold your rules.
The platforms on page one sell the system: a migration, a per-employee subscription, a rules module your team configures and maintains. None ship knowing your call rates, your facility aliases, or your locum-conversion terms.
We encode those into AI agents that run inside your environment, ahead of the payroll system you keep. The platform stays the system of record; the rules — and the IP — stay yours.
Give you a flow that doesn’t require you to touch the spreadsheet at all.
Led by Peter Enestrom.
Asked by operations and payroll leads in clinical staffing.
The straight answers, before you book anything.
Healthcare workforce management software is the system a clinical-staffing company uses to schedule clinicians, track time and credentials, and pay a mixed W-2 and 1099 roster across dozens of facilities — the scheduling, payroll, and compensation platforms page one will show you. The category assumes your operation fits its data model. A staffing company’s reality does not: call rates that differ from regular rates per facility, locums converting to 1099 mid-engagement, timesheets exported from a legacy scheduler as spreadsheets with comma-separated facility lists and admin-time rows. That gap is why every payroll run starts with flagged rows someone clears by hand. The alternative to replacing the software is encoding the gap — your facility, rate, and roster rules applied to every export by AI agents, with flagged rows routed to a person. The systems stay; the hand-cleaning goes.
Healthcare payroll software holds the run — gross-to-net, tax filing, direct deposit — and sells a migration plus a per-employee subscription. What it does not hold is your rulebook: which facility a comma-separated location really means, which rate applies when a CRNA takes call, what changes when a locum converts to 1099. We encode that rulebook into AI agents that sit ahead of the payroll system you already run. No migration, no new vendor — the platform keeps the run, and the agents hand it a clean file.
Contractor payroll software pays 1099 workers once the inputs are clean. It does not know that this locum converts at 170 an hour with call at 200, or that the conversion takes effect mid-month — those are your terms, living in emails and engagement letters. We encode conversion terms and rate tables so W-2 and 1099 clinicians pay correctly off the same file. Anything that matches no rule lands in a queue for a person.
No. Physician compensation software administers comp plans — wRVU targets, stipends, draws — for employed physicians. A staffing company’s problem sits upstream of that: regular versus call rates per clinician per facility, applied to a timesheet the scheduler exports. That is a rate table, not a comp plan. We encode your rate tables and keep them current as amendments arrive, so the file carries the right rate before payroll ever sees it.
No — the scheduler stays. Anesthesia scheduling software holds the schedule; the problem is the export: comma-separated facilities, triplicated location strings from three shifts in one day, admin-time rows with no site. Agents read the export as it arrives, apply your location and role rules, and repair the file. When the vendor changes the layout, we update the rules — your workflow does not change.
You do, inside your own environment. The agents run against your files in your cloud and your tenancy; clinician pay data never leaves your systems and is never used to train models. Every flagged row — an unmatched clinician, an unencoded rate, a location that resolves two ways — queues for a person on your team before it reaches payroll. The agents clear the routine; your people keep every judgment call, and each repair is logged against the rule that made it.
Yes — that is the working model. Business rules engine software hands developers an if-then workbench; here, the ops lead states the rule in natural language — "if role is blank, location is non-clinical" — and we encode it into your rulebook. New rules still arrive by email and meeting, but now they apply to the next file instead of living in one person’s head.
Start with one workflow.
Tell us where your team loses hours. We will come back with a straight answer on whether AI can help, what it would take, and what it would pay.