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Failed Automation Projects? It’s Not the Tools - It’s the Data

Nanonets

How many times have you spent months evaluating automation projects - enduring multiple vendor assessments, navigating lengthy RFPs, and managing complex procurement cycles - only to face underwhelming results or outright failure?    You’re not alone.  The result?

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Merchant-facing regulation: What merchants need to know in 2025

The Payments Association

Merchants should assess exposure, engage with providers, and begin implementation planning ahead of key deadlines. The FCA’s final guidance, issued in April 2025, outlines “reasonable procedures,” including fraud risk assessments, internal controls, staff training, and governance oversight. Why is it important?

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How To Do Accounts Receivable Reconciliation

Nanonets

Review Sales Transactions: Compare the sales transactions recorded in the accounts receivable ledger with the corresponding sales invoices or sales orders. Ensure that each payment is correctly applied to the corresponding customer account and invoice. Verify Payments: Cross-reference payments with bank statements/receipts.

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Key Digital Questions Financial Institutions Should Obsess About

FICO

In our experience, we typically see that the breakdown is being driven by risk tolerance and discomfort from two basic kinds of risks: (1) authentication fraud prevention (2) credit risk assessment. Does the friction in your digital channel correspond to the perceived risk level of the transaction / application?

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How to Audit Bank Reconciliation?: A Complete Guide

Nanonets

Bank reconciliation typically involves gathering bank statements and transaction records, comparing them with the corresponding entries in the company's accounting records, and investigating any discrepancies. They assess the adequacy and accuracy of documentation to support the integrity of financial records.

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Expense Reconciliation: Step-by-Step Guide

Nanonets

By comparing these records, businesses can identify any discrepancies, such as missing or duplicate transactions, incorrect or false amounts, or any unauthorised expenses and transactions. Credit card reconciliation helps identify discrepancies such as fraudulent transactions, duplicate charges, or unauthorised expenses.

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How to Use AI in Bank Statement Processing

Nanonets

Set up rule-based workflows to identify and remove any duplicate entries and human review for complex or ambiguous transactions. For instance, if the bank statement shows a $1,000 deposit on a specific date, it matches the corresponding entry in the accounting records. Use advanced matching engines to create customizable match rules.

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