What is a key outcome of using Einstein for service features?

Utilizing Einstein for service features is designed to enhance operational efficiency and effectiveness within an organization. One of the key outcomes is the reduction of information that is lost due to communication silos. Einstein integrates various data sources and systems, ensuring that agents have access to comprehensive information when handling customer cases.

When information is streamlined and made readily available, agents can provide faster and more accurate responses, which greatly enhances the customer experience. By breaking down silos, teams can collaborate more effectively, reducing the chances of miscommunication and fragmentary information. This leads to a more cohesive service delivery model, where agents are better equipped to assist customers without having to navigate disparate information systems or chase down data from different departments.

In contrast, other outcomes mentioned in the options do not align with the intended benefits of using Einstein for service. For instance, increased case transfers typically indicate inefficiencies rather than improvements, and decreased agent productivity and more manual data entry would certainly detract from the purpose of implementing such advanced tools designed to augment service capabilities.