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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. per contact—a virtual agent can potentially save $7.91 (98%) for every call it successfully handles.

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Meet Sophie AI: The Future of Service

TechSee

However, today’s early Generative AI solutions lack context, and deliver a poor user experience. These chatbots demanded a lot of effort from users and administrators. Rarely were either left with a very positive experience. In contrast, Sophie AI is trained like today’s human agents and engineers.

Meeting 109
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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. It also provides attribution and transparency by displaying links to the reference documents and context passages that were used by the LLM to construct the answers.