The product connects to AI support agents and helpdesk systems to track conversations, escalation paths, resolution quality, and experiment outcomes. It provides frequentist and Bayesian experiment analysis, production dashboards, and drilldowns that show where users succeed, where the AI fails, and which high-touch cases should remain human-assisted.

AI customer service agents are moving rapidly into production, and teams are shipping AI features within weeks of offline tests. As adoption grows, companies need purpose-built measurement infrastructure for probabilistic support experiences.