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Buildbox is an agent analytics platform for analyzing how customer-facing AI agents perform in real user conversations. It reviews conversation history, maps the tasks users are trying to complete, and identifies where those journeys fail or create friction. By connecting agent behavior with business outcomes, Buildbox helps teams understand issues that may not appear in standard evaluations or trace data.
The platform highlights failed user journeys, ranks problems by frequency and business impact, and provides evidence from individual conversations and event traces. Teams can investigate issues such as missed customer constraints, booking failures, rework, or incomplete tasks, then compare current and candidate agent behaviors through controlled test runs. Buildbox supports a structured workflow for finding, prioritizing, and testing improvements to customer-facing AI agents before release.
Designed for teams working with conversational AI, Buildbox provides agent monitoring, conversation analytics, user journey analysis, failure prioritization, and evidence-based testing in one workspace. It helps organizations identify hidden agent performance problems and evaluate potential fixes using real customer task outcomes.
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