Skip to content
datatruth Get your Truth Score

HR and payroll · ADP data quality for AIPayroll is where HR truth settles. Or fails to.

Whether you run Workforce Now or another ADP platform, payroll is where pay is real, which makes it decisive for any workforce or cost AI. Multi-entity growth leaves company and location codes sprawling, earnings codes multiplying and the same person under several IDs. We compare ADP exports with the HRIS and the ledger to show where the numbers stop adding up.

Starts with a 30-minute call. Commits you to nothing. Then exports only: no login, no connected app, nothing installed.

Illustrative example, not a client.

Source of truth

What ADP gets right.

Every system is built to be right about something. Knowing what ADP owns, and what it doesn’t, is where a cross-system check starts, and where the Truth Score™ (a score out of 100 for how far your data can be trusted) begins to take shape.

  • 01

    What people were paid

    Gross to net, by pay period and earnings code.

  • 02

    Who is on the payroll

    Associates by company code and status.

  • 03

    Payroll cost

    Employer cost by company, location and department.

What it isn’t the truth for

Organisation and role. Job titles, managers and teams are usually kept in the HRIS, and ADP’s copy drifts from it.

Inside the system

Common ADP data problems for AI.

What goes wrong inside ADP itself, with the objects and fields where it shows. Each one is checkable from an export.

  1. 01

    One person, several IDs

    Transfers between entities and re-hires create several associate IDs or file numbers for the same person.

    Associate IDFile numberCompany code

  2. 02

    Earnings and deduction code sprawl

    Overlapping or legacy codes book the same pay component several ways.

    Earnings codesDeduction codesMemo codes

  3. 03

    Company and location codes that diverge

    Naming and structure differ by entity, breaking roll-ups of cost by organisation or geography.

    Company codeLocation codeDepartment code

  4. 04

    Worker types coded inconsistently

    Employees, contractors and other workers classified differently from the HRIS distort cost and compliance views.

    Worker categoryEmployee typeFLSA or status

  5. 05

    Job and rate data that disagrees with the HRIS

    Titles, rates and status for the same person differ between ADP and the HR system.

    Job titleRatePosition status

Between systems

ADP looks clean on its own. The gaps are next door.

The problems that sink AI sit between ADP and the systems beside it: the same customer, person or transaction recorded differently in each. These are the gaps to test for each pairing.

HR and payroll

ADP

Source of truth forWhat people were paidWho is on the payrollPayroll cost

ADP ↔ HRIS

WorkdayBambooHRPersonio

  • Leavers still on the payroll
  • Pay rates that differ from the HRIS

ADP ↔ General ledger

NetSuiteSage IntacctQuickBooksXero

  • Payroll journals that don’t tie to the GL
  • Departments with cost but no headcount

ADP ↔ CRM

SalesforceDynamics 365

  • Commission paid to reps the CRM shows as inactive
Illustrative: gaps typical between these systems, not client findings. Which ones exist in your data is what a Truth Score Read finds out.

What to export

What we need from you, in plain English.

Standard and custom reports in ADP export to Excel. Your payroll administrator runs them from our list, with personal details minimised. We never need ADP credentials.

What to exportFor whoever runs it
Everyone on the payroll for the period in scopeEmployee or associate report: associate ID, file number, company code, status, hire date, termination date, worker type, department
Pay history by earnings codePayroll register or earnings report by pay period and code
The list of earnings and deduction codesEarnings and deduction code setup report
The GL journal produced by payrollGeneral ledger interface or payroll journal report
  • Exports only, no access to your systems
  • NDA and data processing agreement first
  • The full list of sub-processors comes with our data processing agreement, before any data moves
  • Raw exports deleted after the engagement; we keep quality metrics, not your records

How a Truth Score Read tests ADP

From your exports to a signed verdict.

Within 5 working days of complete exports. A fixed fee, agreed before we start, that never moves with the verdict.

  1. 01

    Export ADP, and one system beside it

    The ADP exports listed above, plus at least one neighbour, such as HRIS. Under NDA, using the field list we send.

  2. 02

    Match across systems

    Our engine matches each associate and its related records across the exports by ID, name, email and domain, including the ones spelt differently in each system.

  3. 03

    Check by hand, then score

    Every red flag is checked by hand against sample records before sign-off. Then the Truth Score: each pillar shows what was measured and what wasn’t, and pillars with too little signal are marked, never guessed.

  4. 04

    Get the verdict in writing

    A signed memo: the red flags between ADP and the other systems, a Leverability read on the AI you’re considering (which AI ideas you can use now, after fixes, or not at all), a verdict (sign, fix first or walk away) and a short fix list your own team can work from.

What you get back

See what comes back: a real sample memo.

One fictional B2B software company, Example Co: 72,837 records in 7 exports from its CRM, finance and HR systems, run through the same engine and the same checks as a paid Truth Score Read. Each system passes its own checks. Matched across systems, only 13% of deals tie to an invoice.

Real engine output on generated test data, not a client.

Questions

ADP and AI, answered plainly.

Anything else, ask on the 30-minute call. It commits you to nothing.

Book the call
Payroll data is sensitive. How do you handle it?

We agree the minimum fields first and can work without names. Exports only, under NDA and a data processing agreement.

Why compare payroll with the HRIS?

Because the two are supposed to describe the same people and usually drift. Leavers still paid, rates that differ and worker types that disagree all surface when records are matched.

Can AI help with payroll checks?

It can flag anomalies, but only on consistent codes and one ID per person. We show how far your history is from that.

Do you provide payroll services?

No. We sell no services beyond the review and take no fees from providers.

Find out what your ADP data can carry. Before the AI does.

Your ADP export and one other system in. The gaps between them in writing, within 5 working days of complete exports. Starts with a 30-minute call. Commits you to nothing.

Starts with a 30-minute call. Commits you to nothing.

Get your Truth Score