When an HR admin pulls a turnover report from their payroll system and the numbers don't match the headcount report they pulled from the same system last week, they have a problem they can't solve inside the system itself. They export both to Excel, try to reconcile them manually, and often can't figure out why they diverge. One user said 'reporting doesn't speak to each other when trying to pull information from different modules.' Another said the turnover report 'is not easy to read and doesn't seem accurate.'
This is a data consistency problem, not a UI problem — and it's structurally baked into how large HR systems were assembled. Payroll, benefits, time and attendance, and talent modules in systems like ADP Workforce Now were often built or acquired separately and integrated at the surface level. They share some employee records but maintain different event logs, different effective-date logic, and different definitions of things like 'active employee' or 'termination date.' A headcount report from the payroll module and a headcount report from the time module can legitimately disagree — and neither is technically wrong given their own data model.
Vendors have no incentive to surface these inconsistencies transparently because doing so would highlight integration gaps in their own product. The person who suffers is the HR admin who hands a report to their CFO and gets it handed back with red ink on it.
This is a business and not a feature because data reconciliation is a recurring audit need, not a one-time fix. Any time an employee is terminated, transferred, promoted, or changes benefits status, the risk of cross-module inconsistency reappears. Compliance reporting — ACA, EEO-1, FMLA tracking — depends on these numbers being right, and the cost of a wrong number in a compliance report isn't just embarrassment, it's potential regulatory exposure.
What to build
Build a reconciliation layer that pulls employee record data from two or more connected HR and payroll modules via API, compares fields that should match across modules (headcount, active status, termination dates, hours), flags discrepancies with a plain-English explanation of which module shows what value and when each was last updated, and exports a clean exception report.
Where to start
Start with ACA compliance specifically — the math of full-time equivalent counts under the Affordable Care Act is exactly the type of cross-module calculation that breaks when payroll hours data and benefits eligibility data don't agree, and the regulatory penalty for getting it wrong is specific and quantifiable.
The hard part
Convincing an HR director to pay for something that audits and potentially exposes problems in the system their company already paid for is a hard sell — the instinct is to blame user error, not the software, so your first customers almost always have to have already been burned by a bad compliance report.
How it makes money
Annual subscription priced per employee, starting around $3–$5 per employee per year with a minimum contract, positioned alongside whatever the company pays for compliance consulting — because the alternative is a compliance consultant doing this reconciliation manually at $150/hour.
See the evidence. The complaints behind this idea, the products they came from, and similar ideas in Core HR.
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