Improve CX at scale
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Learn how to build a performance system for AI-powered support so you can catch issues earlier, improve resolution quality, and scale support with confidence.
Measure and improve CX quality at AI scale
Most support teams rely on CSAT and manual QA to understand performance. But as AI handles more of your volume, those signals fall short. You need a system that shows what customers actually experience, defines what good looks like, and helps you continuously improve quality at scale.
What you’ll learn
A practical framework for CX quality at AI scale
A practical framework for CX quality at AI scale
Traditional quality methods weren’t built for AI. Learn how to get a complete view of customer experience, apply consistent standards, and improve performance across every conversation.
The outward view
01See what customers experience across every conversation, not just the small sample captured by CSAT.
The inward view
02Define what good looks like and apply consistent quality standards across both AI and human support.
The path to improvement
03Quickly spot what to fix and take action to improve performance at scale.
Seamless integration
Fin works with any helpdesk
Set up Fin with your existing helpdesk or as part of the Intercom Customer Service Suite—with support for additional platforms and custom channels.
Key features
- Set up in under an hour.
- Integrates into your current support channels—tickets, email, live chat, and more.
- Follows your existing assignment rules, automations, and reporting.
- Escalates to agents in your preferred inbox.