Bespoken - 2026 Pricing, Features, Reviews & Alternatives

Bespoken provides comprehensive automated testing solutions for Interactive Voice Response (IVR) systems, artificial intelligence applications, chatbots, and other conversational AI technologies. The platform offers a suite of testing capabilities including exploratory testing, functional testing, monitoring, load testing, and model testing that thoroughly examine Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and user functionality components. These testing methodologies enable organizations to identify and triage defects throughout the entire customer interaction flow, ensuring that conversational interfaces perform as expected before deployment.

The system optimizes customer journeys by ensuring high-quality experiences at scale and eliminating potential bottlenecks before they impact end users. With continuous twenty-four-seven monitoring and alerts, Bespoken AI delivers peace of mind to organizations that rely on conversational interfaces for customer interactions. The platform measures scalability and reliability metrics, allowing technical teams to make data-driven decisions about system performance and capacity planning. Since its inception in two thousand seventeen, Bespoken has processed over thirty-eight million tests, identified approximately forty-five thousand defects annually, and saved users an estimated one hundred thousand manual testing hours per year.

Bespoken enables enterprises to enhance contact center operations through automated testing, monitoring, and benchmarking services specifically designed for chatbots and IVR systems. The technology has been implemented by major corporations such as Mercedes-Benz Research and Development to deliver exceptional quality for voice interaction experiences. The comprehensive testing approach ensures that conversational AI systems maintain high levels of accuracy, functionality, and scalability, which are critical factors for successful customer engagement. By automating the testing process, organizations can systematically verify that their conversational interfaces perform correctly under various conditions and user scenarios, ultimately leading to more reliable and effective customer service operations.