Case Study: How Jiminny builds with AI models to secure higher win rates for customers

Key results

The challenge

Jiminny is a conversation intelligence platform that helps revenue teams learn from recorded sales conversations. While most businesses now record calls, that conversation data delivers little value without accurate, structured transcription to power coaching and insights.

The solution

Jiminny builds on AssemblyAI's speech-to-text models to transcribe and structure customer conversations, powering agent coaching and win-rate improvement features.

The results, in context

Jiminny reports that customers saw immediate results: at least a 51% increase in customer satisfaction, at least a 26% improvement in agent performance, and a 15% higher win rate for its customers.

Products used