Back-office (administration, legal) functions have become complex silos of data and channels that result in inconsistent latency-plagued experiences for employees.
Goals and Objectives
Provide a methodology for performing back-office activities with an appropriate level of agent/self-service to enable more rapid processing of tasks from simple to complex.
AI, analytics, omni-channel, predictive models, avatars, customer service applications, and contact center applications
Use Case Summary
Enablement of the performance of back-office functions in a timely, automated, and predictive manner to free up workers from repetitive tasks and let them focus on value-added activities