Tools marketed as AI reconciliation often mean rule-based matching with an AI label. This explains the difference between genuine automatic matching and what most tools actually do when you upload two files.

Most AI reconciliation tools require a live bank connection or OAuth access. This covers file-first alternatives that work from exported CSV files only: no API, no credentials, no integration setup.

Uploading bank statements to ChatGPT means sending financial data to OpenAI's servers. This covers what that means for data retention, client confidentiality, and whether it is appropriate for bookkeepers handling third-party files.

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.

AI matching tools produce a result but not a record. Without a row-by-row audit trail, you cannot verify what matched, what was skipped, or defend the output to a client or auditor.

Most AI reconciliation tools do not show you which rows they matched or why. This explains how to verify AI-matched output before relying on it for a client report or month-end close.

AI reconciliation tools match on amount and date alone and produce false positives when duplicate values exist. This explains the exact failure pattern and how to catch it before it reaches a client.

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.

Claude and Gemini can parse financial files but neither produces a reliable, audit-ready reconciliation. This covers where each model breaks and why general-purpose AI is the wrong tool for the job.

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 hallucinates amounts and silently drops rows when reconciling transaction files. This explains why it happens and what it means for any financial output you trust it to produce.

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.