6 stories
We asked over 1,000 end users how they felt about interacting with AI Agents, how capable they think they are, and how much they trust them. Here are our findings.
Providing a complete evaluation system for Fin, you can now test changes before they go live, roll them out with control, evaluate every live conversation, and have confidence in the experience Fin delivers.
Traditional support metrics weren't designed for AI handling most of your conversations. As your Agent takes on more, the gaps in what you can see get bigger. Here's how to measure the full customer experience.
Every time you launch a product, your Agent's knowledge base needs to keep pace. Here's the NPI process Fin uses to make Agent readiness part of every release.
If nobody on your team owns how your AI Agent communicates, it defaults to sounding like an LLM. Conversation design is the discipline that fixes that.
Without access to your backend systems, your AI Agent can answer questions, but it can’t take action. A customer asks to change their payment plan, they get a clear explanation, but a support rep still has…
Showing 6 of 6 stories
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