In this series of tutorials, you’re going to learn how to implement customer support AI assistants into your customer service workflows.
Introducing AI into customer service workflows can drastically reduce response times, elevate human agents to focus on strategic work, provide more accurate answers, efficiently categorize and route issues, and supercharge many more support workflows.
If you haven’t already gone through Strategies for AI Customer Support Systems, make sure to read through those tutorials first to understand the broader context of this space. You’ll walk away with a clearly defined implementation strategy, a better sense of your team’s readiness, and a comprehensive understanding of the benefits and challenges of deploying customer support AI assistants, which will make this series of tutorials even more impactful.
For these tutorials, you’ll need:
- A ChatGPT Plus account (or Team/Enterprise account)
Tutorials:
- Overview, benefits, and challenges of implementing customer support AI assistants
- Setting up a customer support AI copilot
- Document and knowledge management
- Developing an AI analyst to automate insights
- AI agents and customer support automation workflows
Before we get started building, we’re going to provide a brief overview of what customer support AI assistants are, how you can think of them, and the various benefits and challenges in deploying them into your customer support workflows.