Developing and deploying AI voice agents is time-consuming and complex, requiring extensive testing to ensure a seamless user experience across diverse conversational scenarios. Identifying and resolving issues in conversational interactions can be challenging, leading to delays and potential performance gaps. Traditional testing methods often lack the scale and efficiency needed to thoroughly evaluate agent performance.

Vocera provides a simulation platform designed to streamline the testing and monitoring of AI voice agents. The platform enables users to evaluate agent performance against thousands of real-world scenarios using custom datasets and workflows. By simulating various conversational situations, including impatient users or problematic past conversations, Vocera helps businesses proactively identify and address potential issues. The platform offers real-time insights, detailed logs, and trend analysis, allowing for continuous improvement and optimal performance.

Testing against AI-generated and custom datasets

Parallel calling to simulate high-volume interactions

Actionable evaluation metrics for quick performance assessment

Workflow simulation to test specific conversational flows

Persona creation to simulate different user types and behaviors

Real-time monitoring with detailed logs and trend analysis

Instant notifications for errors, failures, and performance drops

Intuitive dashboard for performance visualization and data-driven decision-making

Vocera is designed for businesses that utilize AI voice agents for custom support, outbound sales, receptionist duties, automobile dealerships, survey collection, feedback gathering, legal intake, and customer onboarding.