Oracle Introduces Generative AI Features to Enhance Customer Service

The generative AI capabilities in Oracle Cloud CX are built on Oracle Cloud Infrastructure (OCI)
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​​Oracle today announced the addition of generative AI-powered capabilities within Oracle Fusion Cloud Customer Experience (CX). These AI-powered features, integrated into existing Oracle Fusion Service processes, are set to optimise customer service delivery, boost productivity, and elevate overall customer satisfaction.

Rob Tarkoff, the executive vice president and general manager of Oracle Cloud CX, emphasized the importance of quick access to accurate information for creating exceptional customer experiences. 

“The new capabilities in Oracle Cloud CX will help organizations resolve customer service issues quicker and more efficiently by increasing service agent and field technician productivity, optimizing self-service and automating traditional tasks that are manual and time-consuming,” said Tarkoff. 

The generative AI capabilities in Oracle Cloud CX are built on Oracle Cloud Infrastructure (OCI) and are designed to prioritize data security and privacy. Oracle ensures that customer data remains protected and is not shared with third parties. 

Role-based security within Oracle Fusion Service workflows ensures that sensitive information is safeguarded, and content recommendations are restricted to authorized personnel.

 Benefits  of generative AI in Oracle Fusion Service

Firstly, with “Assisted Agent Responses,” service agents receive support in composing responses by utilizing past interactions as a foundation. This not only accelerates response times but also maintains quality as responses can be reviewed and edited before sending.

Secondly, the “Assisted Knowledge Articles” feature reduces the workload on service teams by employing generative AI to craft articles for emerging service issues. This ensures quick and accurate documentation of standard procedures, particularly beneficial in complex sectors like high technology and medical devices.

Thirdly, “Search Augmentation” improves efficiency for both service agents and customers by integrating short-form responses into search and chat interfaces. This enhancement facilitates swift access to answers, simplifying issue resolution.

Moreover, “Customer Engagement Summaries” provide summaries of key information within service requests. This feature aids service agents and administrators in comprehending customer issues and making informed decisions, especially when dealing with intricate requests.

Additionally, “Assisted Guidance Authoring” empowers experts to create structured troubleshooting guidance for service agents, ensuring a consistent approach to issue resolution.

Lastly, “Field Service Recommendations” boost field service technician efficiency by offering contextually relevant content suggestions during troubleshooting. This capability can reduce the necessity for on-site visits, making service delivery more efficient. 

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Siddharth Jindal
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.

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