AI Payment Reconciliation Software — Automated Settlement Reconciliation Platform

AI payment reconciliation software is a system that automatically matches payment transactions across three sources: (1) PSP/acquirer settlement files, (2) bank account credits, and (3) internal ledger or ERP entries. For payment companies, fintechs, and marketplaces processing hundreds or thousands of transactions per day, manual reconciliation is impractical. AI payment reconciliation software ingests settlement files from all PSPs, matches them against bank credits and ledger entries using intelligent matching logic (handling T+1/T+2 settlement delays, partial batches, MDR fee deductions), identifies exceptions by type, and generates the daily reconciliation close report — reducing the reconciliation cycle from a full-day manual process to under 2 hours automated.

For payment aggregators and marketplaces, settlement reconciliation has an additional layer: merchant net settlement. After aggregating all transactions for each merchant, the reconciliation system calculates: gross transaction volume, minus platform fees (MDR, convenience fee), minus refunds, minus chargebacks, minus reserve holds — to arrive at the net merchant payout amount. XPndAI's payment reconciliation system handles this merchant-level calculation, generates payout instructions per merchant, and tracks reserve account movements. For marketplaces: order-level payment matching (each order → one or more PSP transactions) is also supported.

XPndAI's payment reconciliation system supports any PSP that generates a settlement file. In India: Razorpay, Cashfree, PayU, BillDesk, CCAvenue, Paytm for Business, Juspay, PayGlocal, Stripe India. In UAE: PayTabs, Telr, Payfort (Amazon Payment Services), Network International, Stripe UAE, Checkout.com. International: any PSP that provides SFTP-delivered CSV or XLSX settlement files. Settlement file format parsing is handled by XPndAI Extract — new PSP formats are added in 1–3 days.

Manual reconciliation in Excel has three failure modes at scale: (1) Volume — hundreds of transactions per day is manageable in Excel; thousands or tens of thousands is not. A payment company processing ₹10Cr/day may have 5,000+ individual transactions across 3 PSPs. (2) Multi-source matching — Excel VLOOKUP reconciliation works for two sources; three-way matching (PSP + bank + ledger) across date offsets requires logic that Excel cannot reliably handle. (3) Exception management — identifying, classifying, ageing, and tracking resolution of exceptions requires a structured workflow that Excel does not provide. XPndAI's reconciliation system replaces the Excel process with an automated pipeline that handles volume, multi-source matching, and structured exception management.