DRUID AI, a global leader in conversational and agentic AI, unveiled DRUID QA Agent which automates quality assurances (QA) and enables enterprises to quickly, efficiently, and completely test the accuracy of their AI agents prior to launch – avoiding any embarrassing or harmful answers by generative AI going “rogue.” By seamlessly integrating with any type of Large Language Model (LLM) or AI co-pilot, the solution streamlines the launch of autonomous AI agents by eliminating the need for dozens, or even hundreds, of human testers.
In recent years, conversational AI and LLMs have revolutionized internal business operations and external interactions with customers. As businesses evolve to meet customers’ expectations for sophisticated, robust, and accurate interactions in every channel, autonomous AI agents have quickly become a priority, due to their ability to understand and respond to advanced inquiries – all with minimal oversight.
The new DRUID QA Agent gives companies the power to build confidence by fully testing their autonomous AI agents before launch. It’s a virtual testing department that tests DRUID AI implementations, and other vendors’ AI solutions. Customers are able to select and optimize the best solution for their specific needs by testing as different personas in a centralized platform. This not only helps to quickly identify risks and solutions, improve performance, and significantly reduce testing time, but also frees up valuable human resources.
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Furthermore, by removing bottlenecks and quickly identifying risks and solutions prior to launch, DRUID QA Agent allows companies to:
- Accelerate AI project launches with an 80 percent reduction in testing time
- Improve consistency by testing real-world use cases as well as AI-generated scenarios
- Enable business to get virtual assistants up to 95 percent accuracy
DRUID QA Agent comes preloaded with sophisticated generative AI capabilities, including:
- Automatically creating test cases based on Knowledgebase content, previously recorded conversations (including voice recordings from the contact center), hypothetical conversations, and user profiles connected with your business records
- Automatically running potential conversations and verifying the results for accuracy
- Providing analytics on the impact of tuning changes on answer or transaction accuracy
- A/B testing and regression testing comparison between the performance of different LLM models, different versions, and different parameters
- Testing the performance of different AI Agents such as Microsoft Copilot, Salesforce Einstein, Servicenow agents, etc.
- Full enterprise data security, data privacy, and governance
- Available on the cloud, hybrid, or on-premise
“Agentic AI is quickly revolutionizing the speed and accuracy with which companies can communicate with their stakeholders,” said Liviu Dragan, Co-founder and CEO of DRUID AI. “Whether organizations are looking to implement autonomous AI agents internally or externally, our QA Agent equips enterprises with the confidence and peace of mind needed to embrace AI, using rigorous validation and ensuring a smooth deployment and optimal performance from day one.”
SOURCE: PRWeb