article thumbnail

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.

article thumbnail

Setting Realistic Expectations for AI-Enhanced CX Technologies

Creative Virtual

By Maria Ward, Account Manager/Knowledgebase Engineer. Even though it was the fourth year Creative Virtual sponsored the joint events, it was my first opportunity to represent the company, so I wasn’t sure what to expect. He outlined Creative Virtual’s top tips for implementing chatbot, virtual agent and live chat technology.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

A Look Back: 2019 in Review

Creative Virtual

2019 was another busy and exciting year for Creative Virtual and the chatbot, virtual agent and live chat industry. We continued our five-year-long celebration of our Queen’s Awards for Enterprise: Innovation 2017 as we also celebrated the 15th anniversary of Creative Virtual. You can read the full article here.

article thumbnail

Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

The solution workflow contains the following steps: The admin deploys the QnABot solution into their AWS account, opens the Content Designer UI, and uses Amazon Cognito to authenticate. To get started, you need the following: An AWS account. Import example questions to QnABot. Create a test call and interact with the bot. or later).