AI test agents are changing the game for Voice AI testing by offering autonomous simulation and scalable testing solutions. Roark, a platform in this space, provides tools that help teams monitor and evaluate voice interactions effectively. Users can track over 40 built-in metrics, such as latency, instruction-following, and sentiment, which gives a comprehensive view of how voice agents perform during real conversations. Roark allows for detailed analysis, including support for calls with up to 15 speakers. It identifies issues in real time, alerting teams to problems like failed payment processing and incorrect tool calls. The platform also facilitates end-to-end testing by automatically generating test cases from actual calls, ensuring that improvements are based on real-world scenarios. Users can create customizable tests that cover a wide range of conversation flows and edge cases, tailoring simulations to account for different personas and emotional contexts. With integrations that are easy to set up, Roark connects quickly to various voice platforms, making it simple to capture call data and gain insights without lengthy implementation. The pricing model is straightforward, catering to organizations of different sizes, from startups to high-volume operations, with options for custom solutions and dedicated support.