Auto Insurance company improves customer support speed and personalization with generative AI.
Answers tailored to customer context
Customers resolve inquiries without waiting
Insights into support interactions
An auto insurance company faced slow service and long hold times from relying on traditional support models. Personalized responses required manual effort, making it hard to keep up with growing support demand. The team also had limited visibility into how interactions were being handled.
Quiq implemented an AI Assistant that responds based on customer context and supports self-service interactions. The assistant understands what customers are asking and provides relevant answers. Built-in dashboards give the team visibility into support performance and interaction patterns.
Customers now get answers through the AI Assistant rather than waiting on traditional support channels. The assistant handles inquiries automatically, while dashboards give the team a clear view of how interactions are being handled.
The Challenge
Customer support relied heavily on traditional service models, leading to long wait times and slower response rates. Providing individualized responses required manual effort, making it difficult to handle customer inquiries consistently.
At the same time, there was limited visibility into support performance, making it difficult to understand trends or improve how inquiries were handled.
How Quiq was deployed
Quiq introduced an AI Assistant to support customer interactions.
The system is designed to:
- Understand customer questions and deliver relevant responses
- Provide answers for self-service support
- Deliver responses based on customer context
- Provide data through dashboards for analysis
How teams use it
Their team is now enabled with:
- Support delivered through AI Assistant interactions
- Responses provided without agent involvement for some inquiries
- Visibility into support performance
- Consistent handling of customer questions
What changed after launch
Customer interactions shifted from traditional support channels to AI-assisted responses.
- Customers receive answers through AI Assistant interactions
- Responses are delivered based on customer context
- Customers use self-service instead of waiting for responses
- Teams access dashboards to view support performance
Their team is now enabled with:
- Support delivered through AI Assistant interactions
- Responses provided without agent involvement for some inquiries
- Visibility into support performance
- Consistent handling of customer questions
Results/ROI
The Auto Insurance company transformed its support experience with AI-powered self-service, delivering faster responses, more personalized interactions, and measurable improvements in customer satisfaction.
