Hashlogics
Capability

Payroll automation that survives an audit, not a demo

It combines scheduling, compliance and money into one calculation. Get any part wrong and the error shows up as a number an employee can point to.

What payroll engineering actually demands

4 things that decide this

  1. 01Gross-to-net has to run on integers or fixed-precision decimals. A float rounds every value it touches, and a payroll run touches thousands of them.
  2. 02Overtime rules belong in the record, not a spreadsheet formula someone edits by hand. FLSA thresholds, shift differentials and state rules all change the calculation.
  3. 03Eligibility and pay share one source of record. When scheduling data and payroll data live apart, the two drift and someone reconciles them manually every cycle.
  4. 04A payroll break needs an owner and a reason before the next run, not a note for month end.
Where it breaks

Payroll fails quietly, then all at once

Most payroll systems get built as a report on top of a spreadsheet. Hours come from one place, rates from another, and someone stitches them together before every run. It works until a rate changes mid-period or a shift crosses a pay cutoff. Then it produces a wrong number, and nobody notices until an employee asks about their check.

The fix is not a better spreadsheet. It is treating pay as a calculation with one input record, not an export that gets massaged after the fact. Hours worked, rate, overtime status and deductions need to come from the same system that scheduled the shift in the first place.

  • 01Gross-to-net calculated from stored rules, not a formula copied across a spreadsheet each period.
  • 02Overtime and shift differentials applied at the hour, so a late clock-out changes the right line.
  • 03Scheduling and pay share one record.
Where the pay calculation actually happensLive
  1. ClockHours captured at the shift.
  2. RateBase, differential, overtime rule.
  3. GrossComputed from stored rules.
  4. DeductTax, benefits, garnishment.
  5. NetOne number, one record.
  6. ReconcileMatched against the bank file before payday.

Move reconciliation before payday and a break gets caught with hours to fix it. Leave it after and you are issuing a correction check.

The engineering

The problems every payroll build hits

These show up whatever payroll frequency or jurisdiction you run.

Money stored as a float rounds itself wrong

Binary floating point cannot hold 0.10 exactly. Sum a few thousand rows of it across a pay period and the drift becomes a number payroll has to explain by hand.

Overtime is a rule, not a lookup

FLSA overtime, state daily-overtime rules and shift differentials interact. Hardcoding a multiplier works for one jurisdiction and breaks the moment you add a second.

A pay run needs a version, not an edit

Correcting a processed pay run by changing the old numbers destroys the record an audit or a dispute needs. Post a correcting entry instead, and keep the original visible.

The exceptions still need a person

A disputed clock time or an unusual leave case is not something to auto-resolve. Route it to someone with the context and log what they decided and why.

The hard part

Reconcile every run, not every month

Reconciliation proves the payroll ledger and the bank file agree, and explains every difference between them. Run it monthly and a break found in week two hides inside thirty days of transactions by the time anyone looks.

Reconcile against every pay cycle instead, and a break sits inside one run. That is the difference between a five-minute fix before payday and a correction check after it, with an employee who now doubts the system.

  • Match the bank file to the ledger before funds leave the account, not after.
  • Give every unmatched line an owner and an age, not a note in a spreadsheet.
  • Post corrections as new entries, and never edit a processed run.
Honest comparison

A payroll spreadsheet against a payroll system

Both produce a number. Only one of them can show its work.

CriterionSpreadsheet and exportWhat production requires
Where hours come fromCopied in from a separate scheduling tool.One shared record between scheduling and pay.
Overtime rulesA formula someone updates by hand.Stored rules applied at the hour.
Money handlingOften a float or a display-rounded number.Integer minor units or fixed-precision decimals.
Correcting an errorThe old cell gets overwritten.A new entry points at the original.
ReconciliationMonthly, against thirty days of activity.Every run, before funds move.
How we build these

The stack this work runs on

Platform

Next.jsSupabasePostgreSQLVercelCI/CD pipelines

Money handling

Postgres NUMERICInteger minor unitsStripe ConnectWebhook idempotency

Controls

Row-Level SecurityRole-based accessAudit loggingAttributed corrections
Questions, answered

What HR and finance leaders ask us

01Can payroll calculations be fully automated?

Gross-to-net math and standard overtime rules can be, once they run on stored rules instead of a spreadsheet formula. Disputed hours and unusual leave cases still need a person with context, so we route those rather than auto-resolving them.

02Why does the money data type matter?

Binary floating point cannot represent 0.10 exactly, so a payroll run built on floats drifts by a small amount that compounds across every pay period. Storing pay as integer minor units or a fixed-precision decimal removes the drift at the source.

03How do you handle a correction after a pay run is processed?

As a new entry, not an edit. The original numbers stay visible and the correction points at them. Anyone asking about that pay period later can see what changed and why.

04Does this replace our existing payroll provider?

Not usually. Most engagements build the layer that feeds an existing provider or bank file with clean, reconciled data. Providers already carry statutory filing and tax remittance that took years to get right.

05What about multi-state or multi-jurisdiction overtime rules?

Those rules live as data, not as code paths. A new state or a rate change becomes a configuration update rather than a redeploy, and the system stays correct as your footprint grows.

Written by Abdul Basit, CEO, HashlogicsVerified
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Abdul Basit, CEO of Hashlogics

“I started Hashlogics because too many teams ship a demo, get paid, and disappear. We build to a standard we’d run ourselves — and we stay to keep it running.”

Abdul Basit · CEO · a direct line

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