Month-end closing requires high concentration, especially when working with a large file with hundreds or thousands of lines.
The difficulty begins with a large file, time pressure, and many assumptions at play.
At this point, AI can help in identifying gaps, duplicates, sharp changes, similar names, and movements requiring review.
Enter the following command: "Scan the table, identify the 10 most exceptional changes compared to the previous month, flag discrepancies above 5,000 NIS, add a possible explanation for each anomaly, and formulate a question that should be directed to the client."
Next to each change, you can add a priority level and a question for further checking.
The same principle applies to credit card statements, cash flow, debt deferrals, supplier tracking, or budget versus actual.
What exception would you prefer to identify before the client asks about it during the month-end closing call?
