HRIS integration for the feed your scorecard is waiting on.
Your headcount and payroll data sits inside the HRIS while the reports wait. We build the AI-managed feed that pulls it out — refreshed every month, with no manual exports.
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Headcount reporting someone rebuilds by hand, every month.
From HR and operations leaders we have sat with: contract-staffing operators tracking budgeted vs actual FTE across dozens of sites, where the numbers live in the HRIS and every report starts as a manual export.
The actual number is a moving target
The budgeted FTE is written into the contract; the actual hired count moves month to month. By the time someone pulls the export and rebuilds the report, the number has moved again.
The custom report, rebuilt by hand
The HRIS has a report builder, so the workflow is: go in, build the report, export it, reformat it, paste it into the scorecard. Every month. By hand.
The HRIS knows who is hired — nothing else
Headcount and hires live in the HRIS. Locums utilization after the initial contract term and overtime utilization by contract live somewhere else entirely. Nobody has one view.
The feed request, waiting on IT
"Can we get a feed that lets us pull data out?" becomes a ticket, a queue, and a quarter of waiting — while the scorecard ships late or ships stale.
The built-in AI that can’t see your contracts
The HRIS’s own AI features answer generic HR questions. They don’t know your contract denominators, your budgeted FTE lines, or what a miss looks like — so the real reporting still lands on a person.
The real cost of manual payroll reporting is a month of lag.
What the manual way looks like at a clinical-staffing company tracking dozens of hospital contracts. An AI-managed feed removes the rebuild; what it can’t recover is the month you spent acting on stale numbers. Tracing one reporting cycle puts figures on yours before anything gets built.
From an anonymized engagement — a clinical-staffing company tracking budgeted vs actual FTE across hospital contracts
The feed your scorecard waits on, built and run for you.
No new HRIS, no integration project your IT team has to absorb. AI agents pull the data out of the system you already run, on the schedule your reporting needs — and keep the feed running when things change.
- 01
Trace the numbers you actually need
Which fields, which contracts, which cadence — actual FTE per contract, hires, hours — documented with the person who owns the scorecard, not guessed from a data dictionary.
- 02
Build the feed
Through the vendor’s API where access is granted; through scheduled exports where it isn’t. Either way, the pipeline lands clean, validated data where your scorecard can read it — in your cloud.
- 03
AI keeps it fresh
Every month the feed refreshes on its own. When a field changes or a column goes missing, AI agents flag it and we fix it before the scorecard reads it — not after the review meeting.
The Paylocity API is documented for developers. We build and run the feed.
Paylocity’s developer documentation is real and reasonably complete — if you have developers. The Paylocity API tells an engineering team which endpoints exist; it does not map your contracts to fields, schedule the refresh, validate the output, or own the feed when something changes. That work is the actual integration.
We build the Paylocity integration around what your reporting actually needs, run it in your cloud, and keep it running — AI agents watching the feed, people accountable for it. Headcount and payroll reporting flows every month without a manual export, Paylocity stays the system of record, and you own everything we build.
What we needed was a feed — a way to pull the data out and see, month over month, where we have misses from a contract perspective.
Led by Peter Enestrom.
Asked by HR and operations leaders.
The straight answers, before you book anything.
HRIS integration is connecting the system that holds your headcount, hires, and payroll data to the places that data needs to go — scorecards, dashboards, finance models. Increasingly it means AI agents running the connection on a schedule, so reporting refreshes itself instead of waiting on someone to build a custom report and export it by hand.
Yes. Where API access is granted, the feed runs through the Paylocity API directly; where it isn’t, scheduled exports do the job. Either way, the Paylocity integration is shaped around the fields your scorecard needs — actual FTE per contract, hires, hours — refreshed monthly without anyone rebuilding a custom report.
No — opposite direction. Running payroll is its own workflow: turning the scheduling export into an upload-ready file so pay runs on time (that lives on the automated payroll processing page). This page is data extraction from the HRIS after the fact, for reporting. And if your pain is the staffing timesheet file breaking before payroll in a healthcare setting, that is the healthcare workforce management page.
That is the normal case, not the exception. You don’t need to master the report builder or the API documentation — we trace the numbers you need with whoever owns the scorecard, and AI agents handle the extraction the way a careful person would. A new HRIS slows nothing down; the feed is built around it.
Those numbers usually don’t live in the HRIS — headcount and hires do. Locums utilization after the initial contract term and overtime utilization by contract typically come from scheduling and staffing systems. The integration pulls each metric from where it actually lives, so the scorecard shows one view instead of three partial ones.
No — that is the operating-partner difference. We don’t hand you API credentials and a diagram. AI agents monitor the feed every cycle; when a field changes or a column goes missing, it gets fixed before your scorecard reads it. You own the feed and everything built around it, without staffing for it.
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.