Case Study: Gong improves AI model monitoring and production visibility with Mona

A Mona Case Study

Preview of the Gong Case Study

Gong Utilizes Mona to Monitor Their AI System for Performance Optimization

Gong, a company specializing in AI-powered conversation intelligence, faced significant challenges in monitoring the performance of its numerous production AI models. Relying on manual QA processes and customer support tickets was not feasible at scale, making it difficult to detect performance degradation caused by new data or external factors. To gain proper visibility, Gong implemented the intelligent monitoring solution from vendor Mona.

Mona's platform provided Gong with flexible, customized monitoring for its AI models, enabling the team to proactively detect anomalies and receive alerts with correlating factors for issues like low prediction accuracy. The solution delivered full visibility into model performance across different data segments and time periods. This allowed Gong's teams to optimize current models, safely test new versions before deployment, and ultimately ensure their AI-driven platform performed reliably, giving them confidence and peace of mind.


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Gong

Yaniv Levi

Engineering Team Lead


Mona

3 Case Studies