In recent years, it has become increasingly clear which AI applications make sense in customer service. There are hardly any limits; however, certain processes or subprocesses occur repeatedly and are now well established, accepted, and profitable.
But what about AI assistance at the employee workplace? Here, too, the sky is the limit. A wide variety of applications are conceivable, and many are already in production. Some particularly effective examples include summarizing conversations and then automatically writing the results to backend systems such as CRM or ERP platforms.
The payback period can amount to only a few days per month. Other valuable processes include customer-satisfaction assessments and transaction-code capture, which provide reliable insight into what is currently happening in customer service.
What comes next? Which requirements and ideas could help you support your customer-service employees and potentially save a great deal of time and money? Talk to us. The jtel AI Pipeline is ready to turn your AI ideas into reality.
