Use Cases

Enhancing Customer Connections with AI-Powered Excellence

Conversational Search

Customers can find the answers they’re looking for quickly, with human-like responses that are generated from finely tuned language models based on company documents. What’s different is that generative AI can provide relevant information for the search query based on the user’s choice(s):

Translation Capabilities

Minimizes effort for translation services

Answer Length

Provides ability for abbreviated or lengthy answers

Answer Complexity

Users can request answer at a lower academic level, minimizing the need to research how to understand the answer.

Agent Assistance – Search and Summarization

Customer support agents can use generative AI to reduce “handle time”, empowering them to immediately answer customer questions with automatically generated responses in the users’ channel of choice(s):

Cross-document Analysis

Because generative AI is trained across many documents and “learns” the content, answers automatically take into account the information learned across all documents on which it was trained.

Summarization Capability

Complex topics or processes can be summarized to assist employees in various roles within a company better communicate these complexities to customers, peers, or leadership.

Answer Complexity

Users can request answer at a lower academic level, minimizing the need to research how to understand the answer.

Build Assistance

Employees tasked with content creation can use generative AI to produce copy and build assistance to support service requests, getting generated responses and suggestions based on existing company and customer data.

Call Center Operational & Data Optimization

Generative AI enhances the “live call” customer interaction by summarizing customer requests and presenting the appropriate information to an agent that is based on the dynamics of the current live call. This helps to convert call center operations into revenue generators.

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