In the bank reconciliation process, the transactions recorded in the company’s electronic bank statements (EBS) or electronic cash book are compared with its e-passbook or digital passbook cash book are compared with the bank’s passbook to identify any inconsistencies in the day-to-day transactions. In this simple process of tallying the cash book and bank statement, there could be multiple errors. These errors or bank reconciliation problems might differ based on the size of the organization.
In this blog, we will introduce you to some real-life bank reconciliation examples as well as the major roadblocks faced by organizations while reconciling their bank statements.
A bank reconciliation statement is a summary document that shows the recorded bank account balance of the company matches the balance recorded by the bank. The statement covers all transactions of the company, including deposits and withdrawals.
Before deep diving into the practical examples of bank reconciliation statements, let’s go through a few terminologies which are used in a recurring way while explaining the examples:
ABC Corp, has a balance of $2000 as per passbook as on 31st march 2021. However, the balance as per cash book as on 31st march 2021 is $2210.
Let’s Understand the Transaction Details
JPN & Co, has a balance of $20,000 as per passbook as on 31st march 2021.
Let’s Understand the Transaction Details
Markson’s & co. has a difference in balance as per cash book and bank statement as on 31st March 2021.
Let’s Understand the Transaction Details
Rutherford Inc. has a difference in the balance as on 31st March 2021 between the bank statement and cash book.
Let’s Understand the Transaction Details:
Cash Book (March 2021) for Rutherford Inc:
Bank statement (March 2021) for Rutherford Inc:
The balance transactions would appear in the bank reconciliation statement:
Businesses can gain a variety of advantages from effective reconciliation processes. Without good reconciliation, it is difficult determining which expected payments haven’t been made. In addition to detecting fraud, cash book and bank reconciliation statements allow you to quickly identify any potential disruptions in your cash flow.
Effective bank reconciliation process offers various advantages to businesses. It allows businesses to identify any expected payments that haven’t been made, and detect fraud. Bank reconciliation can also help businesses quickly identify any disruptions in their cash flow.
However, even today, the bank reconciliation process is highly manual in nature. The accountants are responsible for manually comparing the digital passbook and e-cash book to prepare bank reconciliation statements. Additionally, sometimes due to the delay in cash being processed in the bank, there is a difference between the passbook and the cash book. This might lead to multiple errors or inconsistencies in the bank reconciliation statement. Let us explore the various problems in bank reconciliation process and real-life examples of errors in bank reconciliation:
Powered by technologies, such as AI/ML, advanced bank reconciliation software make anomaly detection, variance analysis, and financial close task management easier for analysts.
HighRadius’AI-Powered Account Reconciliation Software accelerates the reconciliation process to achieve up to 90% of auto-certification of accounts every month. It also enables
the review of 100% balance sheet reconciliations before ledger close. Driven by artificial intelligence, the software transforms reconciliations from a reactive to proactive process by detecting anomalies, making it faster and accurate.
Positioned highest for Ability to Execute and furthest for Completeness of Vision for the third year in a row. Gartner says, “Leaders execute well against their current vision and are well positioned for tomorrow”
Explore why HighRadius has been a Digital World Class Vendor for order-to-cash automation software – two years in a row.
For the second consecutive year, HighRadius stands out as an IDC MarketScape Leader for AR Automation Software, serving both large and midsized businesses. The IDC report highlights HighRadius’ integration of machine learning across its AR products, enhancing payment matching, credit management, and cash forecasting capabilities.
In the AR Invoice Automation Landscape Report, Q1 2023, Forrester acknowledges HighRadius’ significant contribution to the industry, particularly for large enterprises in North America and EMEA, reinforcing its position as the sole vendor that comprehensively meets the complex needs of this segment.
Customers globally
Implementations
Transactions annually
Patents/ Pending
Continents
Explore our products through self-guided interactive demos
Visit the Demo Center