Remove Call Flow Remove Examples Remove Virtual Agent
article thumbnail

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

AWS Machine Learning

Informational interactions are widely applicable, with examples such as hours of operation, policy information, school schedules, or other frequently asked questions that are high volume and straightforward. Export the Genesys call flow from the QnABot Content Designer. Import and publish the call flow with Archy.

article thumbnail

Four Key Considerations for Adopting AI for Debt Collection

Interactions

Examples include, unexpected expenses such as medical bills, expensive repairs, or the loss of a loved one. 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. 4) Productivity.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

To support WaFd’s vision, Talkdesk has extended its self-service virtual agent voice and chat capabilities with an integration with Amazon Lex and Amazon Polly. Talkdesk has extended its self-service virtual agent voice and chat capabilities with an integration with Amazon Lex and Amazon Polly.

article thumbnail

Four Key Considerations for Adopting AI for Debt Collection

Interactions

Examples include, unexpected expenses such as medical bills, expensive repairs, or the loss of a loved one. 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. 4) Productivity.

article thumbnail

What do consumers expect in a conversational self-service system?

Interactions

For example, press 1 or say billing. Conversational AI applications like virtual agents can provide these types of interactions. Consumers want to make sure they are being heard and expect no long delays between answers (30%) when it comes to a conversational system. .