Payroll facts
Employee wages, hours, pay period dates, gross-to-net details, taxes, benefits, deductions, and YTD context.
Correctness sandbox
The sandbox is not free payroll. It is a correctness-first workspace for cleanup, switch reconstruction, correction questions, notice evidence, advisor review, and agent-readable payroll packets.
Bring a payroll answer that needs to be reconstructed or defended: a wrong check, late fact, provider switch, tax notice, CPA question, or agent workflow.
Start with a small payroll scenario. The goal is to show what a defensible record would need, not to run live payroll or replace tax advice.
Employee wages, hours, pay period dates, gross-to-net details, taxes, benefits, deductions, and YTD context.
Wrong checks, late raises, mid-year switches, local-tax questions, notice issues, and provider export gaps.
What changed, what was calculated, what assumptions were used, and which rule/content version applied.
What needs human review, whether the record is internally consistent, and what evidence would defend or correct it.
Marlow Goods is a demo, test-backed sample showing a late rate change, derived correction, and notice reconciliation.
The original run stays filed. The later rate fact creates a $58.50 gross correction. The notice claim reconciles to $15.14, and the residual is $0.00.
Open sample packetGovernment stats can size the payroll compliance surface. The sandbox measures the correctness and reconstruction pain inside that surface.
Use IRS, BLS, Census/SUSB, SBA, state DOR, workforce-agency, and practitioner data to size employers, payroll frequency, filings, notices, penalties, and compliance volume.
Measure the narrower question: how often payroll records cannot answer what changed, which rule applied, what evidence exists, and what correction is required.
For each case, capture hours already spent, dollars at stake, penalties or fees, advisor effort, missing evidence, and whether the packet is worth paying for.
Public stats prove payroll compliance is large and consequential. They do not prove buyers will pay for Runbook. The sandbox has to show that our record model changes outcomes.
Agents should be able to inspect and prepare payroll records. They should not calculate payroll math, approve payroll, move money, or file taxes.
Check whether the supplied payroll facts are structurally complete enough to review.
Trace a number back to source facts, rule content, assumptions, and calculation output.
Identify missing evidence before a human sends a packet to a CPA, agency, worker, or provider.
Prepare notice and correction drafts for human review without recording payroll facts.
Show what changed across payroll versions, corrections, or provider imports.
Check a Quittance or sample proof packet without trusting a dashboard screenshot.
Use early access to bring a payroll scenario that needs explanation, correction, or evidence.
Test a scenario