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Payroll

Reconcile Payroll to the General Ledger by Cost Centre with AI

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What the source describes

PairWorkflows describes a method for giving ChatGPT payroll totals and general ledger postings for the same period, along with an account mapping and tolerance, so it can draft a reconciliation by cost centre and GL account. It flags items missing from the GL, unmatched GL entries, off-cycle runs and equal-and-opposite variances as candidates to investigate. The page advises minimising personal data, using employee IDs only, and treating the output as an investigation aid rather than a sign-off.

Result or outcome

According to the source, the approach helps surface exceptions such as off-cycle runs that were never journalised, wrong-period postings and possible miscoding, but any correcting entry should only be prepared after the source journal proves the cause.

How to run it

  1. Export a payroll summary by cost center, GL code, pay type and run ID from the payroll system, not individual employee rows.
  2. Export the GL journal lines posted to payroll accounts for the same period, and prepare a mapping table if account codes differ.
  3. Paste both datasets into the prompt on this page with your mapping and the tolerance from your reconciliation policy, using totals or employee IDs only.
  4. Check equal-and-opposite variances first, then off-cycle runs and unmatched GL entries, pulling the GL detail for each flagged cost center and account.
  5. Prepare reclass, accrual or missing entries only after the source journal proves the cause, and route them through normal review and approval.

Try it yourself

Copyable prompt

Help me reconcile payroll expense to the general ledger for [month]. Do not include any employee names, SSNs or bank details; I am only sharing totals. Payroll summary by cost centre and pay type: [paste]. GL postings to payroll accounts: [paste journal ref, cost centre, GL account, amount]. Account mapping: [payroll code = GL account]. Tolerance: [amount]. Please group both sides by cost centre and GL account, calculate variance as GL minus payroll, and mark each line Match, Missing from GL or Unmatched GL entry. Point out any equal-and-opposite variances as possible miscoding to investigate, and list off-cycle runs separately. Do not propose a correcting journal without evidence.

Replace the [bracketed] placeholders. Remove client names, account numbers, and personal data before pasting into any AI tool.

What to review

Recalculate a few variances yourself and confirm both sides use the same period, sign convention and account mapping before trusting the status column. An equal-and-opposite variance is only a candidate for miscoding until the journal proves it. Check that off-cycle runs are not counted twice, and do not post any AI-proposed correcting entry without the source journal and approval.

Related free download: 50 AI Prompts for Bookkeepers (Prompt pack (PDF))

Source: PairWorkflows Guide

Not professional advice. This is general information, not accounting, tax, legal or financial advice. Check AI output yourself and consult a licensed professional for your situation. See our Terms of Use.

This entry summarizes a public source. Features, plans, and availability change, so confirm details with the vendor. Tool names are trademarks of their respective owners.

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