What is Bespoken?
Bespoken provides a suite of tools designed for automated testing, monitoring, and benchmarking of conversational AI applications, including chatbots and Interactive Voice Response (IVR) systems. The platform assists organizations in optimizing their contact centers and overall customer journeys by identifying and resolving defects in conversational interfaces, covering aspects like Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU). It enables teams to ensure high-quality customer experiences at scale and maintain system reliability.
The service aims to streamline the development lifecycle for conversational AI by offering tools for developers, quality assurance (QA) teams, and operations (Ops). Bespoken facilitates end-to-end functional testing, performance load testing, accuracy assessments of ASR and NLU components, and continuous monitoring with real-time alerts. This comprehensive approach helps prevent outages, identify bottlenecks, and maintain consistent performance of AI-driven communication channels across various platforms like automotive systems, voice devices, and mobile apps.
Features
- Functional Testing: Test voice IVR and chatbot applications end-to-end, including speech recognition and NLU.
- Monitoring: Receive real-time alerts to resolve issues quickly and ensure IVR or chatbot availability 24/7.
- AI Accuracy Testing: Measure how well the ASR and NLU of voice and chat experiences are working.
- Load Testing: Measure the scalability of automated contact-centers and eliminate bottlenecks.
- LLM Validation & Testing: Benchmark and test Large Language Models.
Use Cases
- Optimizing contact-center performance through automated testing.
- Improving customer journeys for chatbots and IVR systems.
- Ensuring reliability and scalability of conversational AI applications.
- Benchmarking ASR and NLU accuracy for voice and chat experiences.
- Testing voice-enabled devices and automotive systems.
- Validating and testing Large Language Models (LLMs).
- Providing continuous monitoring and alerting for conversational AI outages.
