Bespoken
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Test faster and significantly reduce errors while incorporating multiple languages and accents into your testing practices with Bespoken’s Automated Testing for IVR. Ensure that your system is working all the time, make sure all your users are understood without frustration, and in the process, increase customer satisfaction, call deflections and first-call-resolution, all of which leads to significantly higher ROI on your Genesys investment.
Bespoken provides automated testing and monitoring for IVR systems, chatbots, and voice assistants. Our platform helps QA and CX teams ensure that voice and chat experiences work flawlessly — across every channel, language, and user path. With Bespoken, organizations can detect bugs before customers encounter them, reduce manual testing time, and improve release cycles. Designed specifically for Contact Centers, Bespoken supports: Exploratory Testing with AI to uncover unexpected issues Automated functional and regression testing for IVRs and chatbots Monitoring of live systems, with alerts for failures and broken experiences Seamless integration with CI/CD pipelines for continuous testing Bespoken works with a wide range of platforms and technologies — from cloud-based IVRs to conversational AI tools like Genesys, Twilio, and Alexa — offering the flexibility teams need to test at scale. Trusted by leading enterprises in banking, telecom, and healthcare, Bespoken ensures that conversational systems deliver great experiences — every time.
Bespoken.ai offers a comprehensive Model Testing solution designed to validate and ensure the accuracy, functionality, and safety of Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Natural Language Understanding (NLU) models. This service assists companies in integrating LLM-based chat and voice bots, providing confidence that their applications deliver correct information and protect users from misleading or harmful responses. Key Features and Functionality: - Automated Test Case Generation: Bespoken.ai automatically generates test cases to streamline the validation process. - Four-Stage Validation Pipeline: 1. Entity-Based Validation: Ensures the model accurately identifies and responds to entities like people, places, and objects. 2. Rules-Based Validation: Verifies the model adheres to predefined rules and guidelines. 3. LLM-Based Validation: Utilizes large language models to test and identify potential issues within the application. 4. Manual Validation: Involves human reviewers to confirm all tests are passed and to detect any additional problems. - Continuous Monitoring: Employs LLMs to repeatedly query and verify applications during development and post-deployment phases. - Detection of Hallucinations: Identifies and alerts users to incorrect or misleading responses generated by the model. Primary Value and Problem Solved: Bespoken.ai's Model Testing solution addresses the critical need for reliable and safe LLM implementations in chat and voice bots. By providing a thorough validation pipeline and continuous monitoring, it ensures that applications function correctly, deliver accurate information, and safeguard users from potential risks associated with incorrect or harmful responses. This comprehensive approach allows companies to confidently deploy LLM-based solutions, enhancing customer trust and satisfaction.
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What is Bespoken?
Bespoken offers end-to-end automated testing and monitoring for IVRs, chatbots, and voice assistants. Our tools simulate real-user interactions, detect bugs early, and validate system behavior across languages and channels. QA and CX teams use Bespoken to save time, improve quality, and ensure flawless experiences — from development to production. Trusted by global enterprises in banking, healthcare, and more.
