
FinQuery’s built-in AI automatically extracts information from lease documents and prepopulates key data fields, which not only saves time but also improves accuracy. The amortisation schedules are extremely useful, as they detail the monthly lease payments, interest, liabilities, ROU asset values, and depreciation. These schedules also make it easier to reconcile figures with the balance sheet and income and expenditure accounts. The ability to assign different access levels to users was essential for us and met one of our top requirements. This feature creates a clear audit trail for all entries and approvals, ensuring that a senior team member reviews and authorises any additions or changes before they go live. The Auditor responsibility feature is another valuable addition, and our auditors made good use of it during our most recent external audit.
We found the implementation process quick and pain-free, which we appreciated greatly. Review collected by and hosted on G2.com.
At first, we found it inconvenient that the system used the American date format (month/day/year) instead of the English format (day/month/year). After we brought this up, FinQuery responded quickly and, within a month, introduced an option to select the preferred date format. We were very impressed by this responsiveness. Occasionally, the system experiences minor lag, but this has not been a significant problem for us. One feature we would find particularly helpful is a modelling 'play pit,' as we are frequently asked to model various lease scenarios to support decision-making at the senior level. Review collected by and hosted on G2.com.
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