AI has moved from a buzzword to a household name in business. AI adoption keeps climbing across customer service, marketing, and IT teams. Finance isn't falling behind. According to Gartner's 2025 AI in Finance survey, 59% of finance functions now use AI, with error and anomaly detection among the top three use cases.
Even with a major surge in AI adoption, half of finance teams still take more than a week to close the books, and reconciliation is the biggest reason. Ledge's 2025 close benchmarks put manual reconciliation alone at 20–50 hours per month, with data spread across 3–5 systems. The goal for finance teams looking to improve efficiency and productivity is simple: faster reconciliation and auditing with fewer late nights.
What is AI-powered reconciliation software?
AI-powered reconciliation software uses machine learning and OCR to match receipts, card transactions, and expense records automatically, then syncs the results to your general ledger with the right categories and GL codes. It replaces manual line-by-line matching with continuous matching that runs as employees submit expenses.
Here are seven ways finance teams put AI-powered software like ExpensePoint to work.
Reading receipts automatically
Receipt entry is one of those tasks that seems small until you multiply it across every field worker or contractor racing a month-end deadline. AI receipt reading extracts the vendor, date, total, and currency automatically from a receipt, sparing employees the manual work of entering every single detail.
Use case: Field workers or contractors who spend all day away from a desk can snap receipts in the ExpensePoint mobile app (even while offline). The app stores receipts in a receipt wallet until the employee is ready to submit, so no receipt sits in a glove box or pocket or gets lost onsite. Extraction completes in 2–10 minutes from upload, so the data is match-ready before anyone opens a spreadsheet.
Impact: You get receipts into the workflow earlier, and month-end no longer includes a hunt for missing receipts.
Streamlining credit card reconciliations
Traditional reconciliation is tedious and time-consuming. A card transaction sits in one place, a receipt lives somewhere else, and the expense report tells its own version of the story. AI reconciliation software compares the receipt, card transaction, and expense record, then flags anything that does not match.
Use case: ExpensePoint's Verify Match feature pairs receipts, card transactions, and expenses automatically, simplifying the process and saving your team hours.
Impact: You automate repetitive matching, save your team hours, and close month-end faster.
Creating and submitting expense reports automatically
Reconciliation gets harder when inputs are inconsistent. Research by Unit4 found North American employees and managers miss out on more than $10.7 billion in unclaimed expenses every year, and a 2023 WalkMe survey found nearly half of workers skip filing expense reports altogether, with one-third blaming a cumbersome reimbursement process.
Automatic expense reporting speeds up the process for employees. Card transactions can flow into expense entries, populate a report, and submit on schedule without the cardholder building the report line by line. And approved expenses flow into your ERP, whether that's NetSuite, QuickBooks, Sage Intacct, Xero, Microsoft Dynamics 365, or SAP Business One, with the correct GL codes.
Use case: ExpensePoint's automated expense reporting turns card transactions into expense entries, groups them into a report, and submits them on schedule or after a brief review by the employee to confirm the details.
Impact: You get every in-policy expense reimbursed, and finance spends less time waiting on last-minute reports.
Preventing expense fraud
Month-end is the wrong time to discover a duplicate expense reimbursement, or an overstated expense that does not match the supporting record.
AI helps by checking for duplicates and flagging the same receipt before approval. It also checks for anomalies, surfacing amount mismatches or receipt fraud.
Use case: Error and anomaly detection is one of the top three AI use cases in finance, adopted by 34% of AI-using finance functions according to Gartner. ExpensePoint can flag duplicate receipts and transaction mismatches before they move through approval. Instead of waiting for an unexplained variance during closing, finance can review the issue while the expense is still in the workflow.
Impact: You catch and fix errors before they reach your general ledger, surface fraud earlier, and keep tighter control on spend.
Enforcing spend policy
Finance teams are pushing AI past number-matching into controls. A transaction can match perfectly and still be a problem. The receipt and card charge may line up, but spend could still fall outside company expense policies.
That's why AI-powered reconciliation becomes more valuable when it supports compliance reviews inside the same workflow. Instead of treating policy checks as a separate audit step, finance teams can catch potential issues at submission, before money moves out of your account.
Use case: ExpensePoint checks each expense against company policy at the point of submission. For example, it blocks a purchase in a non-approved category, or one over the category limit, before it reaches a reviewer. See our guide to expense report policy best practices for setting up rules.
Impact: You catch policy violations before approval instead of after export, when they're expensive to unwind.
Connecting travel bookings, cards, and expenses
Travel spend scatters records across more systems than any other expense category. Typically, an employee books the flight in one tool, charges a hotel to a card in another, and expenses it in a third, and someone has to connect all three just to submit the report.
AI reconciliation software makes those connections automatically, so employees aren't left reconciling charges across systems before they submit.
Use case: ExpensePoint's My Travel Booking feature flows booking data into your profile automatically, and Verify Match pairs the card charge with the matching expense record, keeping trip details in one view and saving employees the cross-checking.
Impact: You connect bookings, charges, and expenses automatically, cut the pre-submission back-and-forth, and make travel spend easier to trace at close.
Capturing tax details for recovery
International spend carries recoverable tax that often goes unclaimed, because reclaiming it requires clean, itemized tax data from every receipt. Manual expense processes rarely capture that detail, so the recoverable amounts stay buried in lump-sum expense lines.
Use case: ExpensePoint captures GST, HST, VAT, and other taxes at the point of submission and maps them to the corresponding tax codes in your accounting system, keeping your documentation audit-ready.
Impact: You separate the tax from the spend on every expense, keep the records auditors and tax authorities require, and make recovery something your team can prepare rather than write off.
The finance teams getting the most from AI start slow. They start where the hours actually go: expense processing, credit card reconciliation, and fraud review.
Ready to close faster without the manual matching? See how ExpensePoint matches your receipts and card transactions, and expense data to your ERP automatically. Book a demo
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