The Case For Digital Self-Service Through Conversational AI

This eBook illustrates high-impact use cases for chatbots and provides best practices for how to run a successful proof of concept (POC) with Onix.
Building a proof-of-concept for deploying machine learning-powered chatbots
Growing digital interactions mean businesses need scalable technology solutions that can evolve outdated customer service models and automate simple tasks within the enterprise. AI Chatbots have emerged as a powerful tool for businesses to boost customer service efficiency and enhance end-consumer interactions.
You will learn how to:
- Identify the right use case
- Design a solution leveraging Amazon Kendra & Amazon Lex
- Launch a proof of concept (POC)
- Validate your solution
When trying to address an issue, 66 percent of customers begin with self-service before reaching out to an agent.
Felix Kalkum, Becca Kleinstein, Damian Lewandowski, Julian Raabe. “Technology and innovation: Building the superhuman agent.” McKinsey & Company. June 22, 2020
Your trusted guide to everything cloud
No matter where you are on your cloud journey, trusted Onix experts can support you every step of the way.
Your trusted guide to everything cloud
Case studies
