When two transactions share the same amount, AI matching tools pick the wrong one or skip both. This explains the duplicate-amount failure pattern and why it is more common than most reconcilers expect.

Microsoft Copilot in Excel can suggest formulas but it cannot reconcile two files reliably. This explains where Copilot fails on mismatched formats, duplicate amounts, and unmatched rows.

ChatGPT truncates large CSV files silently, dropping rows without warning. This explains the token limit problem and what it means when you are reconciling high-volume transaction exports.

ChatGPT can read CSV files but it cannot reliably reconcile them. This explains exactly where it breaks: row limits, hallucinated amounts, and no audit trail.

Facebook Ads export files use different date ranges, currency handling, and column names than client billing records. This explains how to match them without rebuilding the comparison every month.

Google Ads spend CSV exports and client invoice files rarely share the same columns or date ranges. This explains how to match them reliably and find where the numbers diverge.

Messy source files do not have to produce a messy reconciliation report. This explains how to get a clean, structured output from inconsistent exports without cleaning the files first.

When someone edits a source CSV mid-reconciliation, the original results become unreliable. This explains how to identify what changed, recover the correct baseline, and rerun the reconciliation cleanly.

A small unexplained difference in a bank reconciliation that appears every month is usually caused by one of four recurring issues. This explains each one and how to isolate which is affecting your reconciliation.

When your books do not match your bank statement at month end, the cause is usually one of five things. This explains each one and the fastest way to identify which one applies to your situation.

A missing transaction between two financial files can be caused by a reference mismatch, a date filter, a duplicate, or a genuinely absent record. This explains how to find it fast without checking every row.

A wrong reconciliation result does not always show an obvious error. This explains the most common reasons a reconciliation produces incorrect output and the exact steps to trace where it broke.