Create a personalized experience by real-time integrating customer conversations across multiple channels (e.g., voice, chat) using tools such as Google telephony, speech-to-text, and natural language processing (NLP).

Use conversational agents to intent-match the end user input (text, speech, or telephone key presses) against intent training phrases.

Get potential matches with a confidence score ranging from 0.0 (completely uncertain) to 1.0 (entirely sure) and route the call to the appropriate handler.

Empower human agents by providing real-time AI-driven responses (e.g., benefits and eligibility questions) by extending CCAI’s agent assist functionality with a Retrieval-Augmented Generation (RAG) solution.

Configure agent-assist to enable de-identification of sensitive data and utilize its conversation profile feature to support multiple functions.

Harness the power of CCAI Insights product to gain insights into contact center performance, customer sentiment, and operational efficiency.

Develop topic models, generative FAQs, and call quality metrics to identify business trends, uncover areas for improvement, and make data-driven decisions.