Legal & General, a leader in the insurance industry, has selected NICE Robotic Process Automation (RPA) to bring robotic intelligence into their service delivery approach.
The inclusion of intelligent virtual attendant robots into their organisation equips their customer service consultants with the tools to deliver an accurate, efficient and valuable customer experience.
Legal & General is a prime example of the future of customer service, where both the robotic and human workforces combine to maximise operational efficiencies and deliver on an excellent customer experience.
By using NICE RPA, the organisation has generated efficiency gains by accelerating call resolution times.
Furthermore, with the assistance of a virtual robotic workforce, Legal & General’s customer service consultants are able to update multiple policies simultaneously, ensuring continual processing accuracy and fast response times to customer queries.
Most importantly, highly skilled and experienced advisors now have more capacity to use their skills to focus on adding greater value to each and every customer interaction.
Legal & General’s new approach to service delivery, coupled with an agile and flexible robotics development tool, has enabled process changes, stemming from employee feedback, to be made in a matter of minutes.
The result of the implementations was the creation of a faster feedback loop for front-office employees to contribute new and innovative ideas to the development and operations teams, resulting in continuous optimisation and improvement of operational processes.
John O’Hara, President, NICE EMEA, said: “Legal & General is investing in the workplace of tomorrow by integrating human talent with robotic intelligence.”
“We are excited to provide them with the intelligent, cognitive technology needed to foster and grow their workplace as this technology will enable Legal & General to continuously optimise and enhance their operational capabilities.”
Author: Robyn Coppell
Published On: 10th Jan 2019 - Last modified: 15th Jan 2019
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