Month-end cash reconciliation
Provides a clear account of bank-to-ledger matches, amount differences and unresolved transactions to support the month-end close.
— Finance & Investment
Bank–GL reconciliation
Reconciles the bank statement against the general ledger, matching reliably on reference and amount, then explains every exception — timing, fees, duplicates, posting errors — and ages the items still open.
- Finance & Investment
- Traceable reasoning
- Runs anywhere
2–3 days → ~25 minutes
For a full population, not a sample
No coding required
- Input
- Bank transaction CSV with transaction references, amounts and dates
- Output
- Bank-to-general-ledger reconciliation report
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 days per run
— USE CASES
What people use Bank–GL reconciliation for
Unexplained bank balance differences
Identifies unmatched entries and out-of-balance transaction pairs, with explanations of likely causes that help finance teams focus their investigation.
Review of ageing exceptions
Shows the age of open reconciliation items, helping reviewers distinguish recent timing differences from older exceptions that warrant attention.
Client finance reconciliation review
Gives advisers a structured reconciliation report for discussing cash-record discrepancies with a client, separating calculated differences from suggested explanations.
What it works from
- Bank transaction CSV with transaction references, amounts and dates
- General ledger extract with corresponding references, amounts and dates
- Reconciliation reporting date for open-item ageing
What you get back
- Bank-to-general-ledger reconciliation report
- Reference-matched transactions with calculated amount differences
- Unmatched bank and general ledger entries
- Out-of-balance transaction pairs
— HOW IT BEHAVES
How Bank–GL reconciliation produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Every row of the reporting period in scope
Each row of your export is processed on the same basis, so no line item is skipped however long the table is.
Composed as work product
Findings on the reporting period in scope are written up as a document that reads like professional output, with each claim tied back to a line item.
Roll-up alongside line item-level detail
Detail rows are summarised into the grouped view of the reporting period in scope without losing the underlying line items.
Why this is expensive by hand
Bank and general ledger reconciliation often leaves finance teams with unexplained differences and open items whose age is difficult to assess. Month-end cash reconciliation is the typical trigger — provides a clear account of bank-to-ledger matches, amount differences and unresolved transactions to support the month-end close. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 2–3 days of experienced attention.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces bank-to-general-ledger reconciliation report plus reference-matched transactions with calculated amount differences. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. Net effect: 2–3 days down to ~25 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Finance directors and FP&A teams
- Investment, deal and corporate development teams
- Controllers and reporting managers
- Consultants building or reviewing business cases
Run it in Skillsize — or export it anywhere
Bank–GL reconciliation exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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