How an AI agent can create a month-end mismatch queue for finance review
This workflow gives an AI agent a defined job, a bounded set of records, and a result a person can review. The agent reads the relevant Ramp context and matches it with Xero, applies the rules in the prompt, and keeps the source behind every recommendation. It returns a proposed handoff rather than taking consequential actions on its own.
Can an AI agent create a month-end mismatch queue for finance review?
Yes. Start with the scope, date range, decision rules, and fields that identify the right records. The agent can collect the evidence, compare states or sources, mark conflicts and missing data, and organize the result around the outcome above. A reviewer then checks the matches and judgment calls before approving messages, record updates, bookings, purchases, publishing, or other write actions. The guide below shows the records, boundaries, prompt, and handoff needed for this specific workflow.
Match records before comparing fields
Ramp supplies transactions, merchants, cardholders, receipts, memos, and expense state. Xero supplies ledger entries, account coding, tax fields, and reconciliation state. Together, they can prepare a month-end queue that shows where the spend record and accounting record agree or differ.
Match on a stable reference when possible, then use approved date, amount, currency, and merchant tolerances. Batch settlements and recurring charges can create one-to-many or ambiguous matches; the agent should preserve them for an accountant.
Example starter prompt
Compare Ramp transactions for [entity] with Xero records for [organization] during [period].
Use [approved keys] to match records. Show Ramp transaction, receipt and memo state beside the Xero entry, ledger account, tax field, and reconciliation state. Separate exact, possible, unmatched, and duplicate candidates.
Do not create, edit, post, or reconcile records. Return the exception queue and source identifiers.Keep proposed corrections reviewable
The agent may identify a missing receipt, inconsistent amount, or coding that conflicts with a supplied mapping. It should not choose tax treatment or post an adjustment.
Questions this workflow answers
What is preventing our card spend from matching the accounting ledger at month-end?
The agent first establishes complete source totals for the same entity, currency scope, and period. Ramp contributes settled transactions, reimbursements or expense state, merchants, owners, receipts, and memos. Xero contributes bills or spend entries, contacts, accounts, tax fields, and reconciliation state. Pending authorizations, refunds, fees, and batch settlements keep their original type so timing differences do not become false mismatches.
Matches use stable references when available. If finance permits fallback matching, the agent applies the approved amount, date, currency, merchant, and one-to-many rules and shows the fields behind each result. Equal recurring amounts remain ambiguous when several records qualify. No entry disappears merely because forcing a match would make control totals agree.
The mismatch queue distinguishes card-only items, ledger-only entries, amount or currency differences, possible duplicates, missing support, and coding that conflicts with a supplied mapping. A category recommendation is not an accounting decision. The agent can ask which project a charge belongs to or point out that tax treatment differs from the mapping, but an accountant decides the correction.
The close handoff reports exact and possible match counts, unmatched totals on both sides, source identifiers, receipts or notes needed, and an owner for each exception. Every proposed edit shows the current value and reason for review. Posting, coding, deleting, and reconciling stay outside the run, preserving an audit trail from the final resolution back to the original spend and ledger records.
The final table should include the old value, proposed check, reason, and finance owner for every discrepancy.
Card transactions and ledger entries rarely line up on description alone. The agent can match stable IDs when available, then use amount, currency, settlement date, merchant, cardholder, reimbursement status, and attached receipt to rank candidates. It should recognize grouped settlements, tips that change the final amount, refunds, and a month-end timing difference without forcing them into exact pairs. A transaction coded to a different account is a possible correction; a missing receipt is an evidence task; an unexplained unmatched total is a close blocker. Keeping those outcomes separate gives the accountant a queue they can resolve without undoing a valid match.