Amy is the Head of Retail of a US bank. To handle triple the bank’s e-banking volume, she wants to update to a newer version by the end of the week. However, this will require IT updating the backend system.
The Head of IT warns that there is a technology risk that, until bugs are fixed, up to 2% of all outgoing transfers could be doubled, and that 5% of all incoming transfers could be deposited to the wrong account.
By using EyesClear, Amy can pull out an independent list of all transfers and limit technology risk by compare them with what the new backend system is recorded. By quickly identifying differences, her team can flag all discrepancies and help IT fix the bugs. A clean-up period that could take 2 months is shortened to a few days, increasing customer satisfaction with the updated service.