Nice Systems has launched its NICE Robotic Automation, which the company calls an innovative solution that uses software robots to automate routine back office processes to help improve operational efficiency and resource utilization.
With NICE Robotic Automation, employees can focus on more mission critical activities instead of repetitive clerical tasks that can be automated, Nice said.
No this is not an example of real robots being developed to replace human beings. And no this is not a sign of the coming robot apocalypse or the coming of Cylons like on Battlestar Galactica.
But office workers everywhere have reason to be concerned. New automated systems are doing away with jobs. As the technology progresses, more jobs will be made redundant.
NICE Robotic Automation helps to reduce back offices operating expenses and delivers a clear ROI by automating work processes, and it can easily and cost effectively scale according to the organization’s needs. Its ability to operate 24/7 significantly increases productivity, allowing a larger number of tasks to be handled at any given time of the day. Additionally, automating processes improves processing accuracy and frees up employees to handle more sophisticated tasks.
An example of how NICE Robotic Automation improves back office efficiency is a bank that automates part of its loan processing. A customer calls the contact center requesting a loan and in response, the agent opens up a request to approve it. Once the request is approved, the NICE solution automatically enters the loan details into several front and back end systems and sends an email to notify the customer that the loan has been approved. This example of automation reduces the loan approval process from two weeks to two days.
Miki Migdal, President, NICE Enterprise Product Group, said, “The new NICE Robotic Automation solution demonstrates our unwavering commitment to providing a rich offering for the back office. We believe that this highly innovative solution will greatly improve back office operations and reduce organizational expenses by significantly improving processing time, accuracy and efficiency.”