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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

As next steps, Intact plans to further use this technology by processing calls using Amazon Transcribe streaming for real-time transcription and deploying a virtual agent to provide human agents with relevant information and recommended responses.

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Embracing Conversational AI for Contact Center Success in 2023

SmartAction

Let’s address the common objections and show you how to overcome them with conversational AI and virtual agents. Don’t let limited finances hold you back! By deploying virtual agents, you can reduce the need for a large workforce to handle routine inquiries. Say goodbye to costly staffing challenges!

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Four Key Considerations for Adopting AI for Debt Collection

Interactions

The agent on the other side of the communication should understand that the debtor is going through a hard time and they want to figure out how to get out of the mess. Simplicity : Sometimes a virtual agent is the fastest and most accurate solution to resolve the customer’s problems. 3) Compliance.

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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. . In customer service, it helps the IDSS see the problem, as a virtual agent.

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AI-based call center: How do they work?

NobelBiz

Balto’s technology is particularly important in industries with stringent regulatory requirements, such as finance and healthcare, where compliance is closely scrutinized. This not only helps in reducing the risk of legal issues but also assures customers that their interactions are handled professionally and ethically.

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AI-based call center: How do they work?

NobelBiz

Balto’s technology is particularly important in industries with stringent regulatory requirements, such as finance and healthcare, where compliance is closely scrutinized. This not only helps in reducing the risk of legal issues but also assures customers that their interactions are handled professionally and ethically.

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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

For example, see how Kentucky Transportation Cabinet reduced call hold time and improved customer experience with self-service virtual agents using Amazon Connect and Amazon Lex. The LLM-powered QnABot can also play a pivotal role as an automated real-time agent assistant.