Cyara has announced DART AI, an AI framework emphasising practical innovation and tangible customer value. Alongside this, Cyara has unveiled Cyara AI Trust, a comprehensive suite of testing modules designed to optimize chatbot development, mitigate risks associated with large language models (LLMs), and ensure reliable bot deployment with confidence.

“The introduction of the DART AI™ framework along with AI Trust and FactCheck marks a significant milestone in Cyara’s commitment to Generative AI excellence. These offerings are designed to empower businesses to achieve their CX goals with confidence and precision. We believe that by providing organizations with the right tools, we can help them navigate the complexities of AI technology and deliver exceptional customer experiences,” said Rishi Rana, CEO of Cyara.

The DART AI framework focuses on four key areas: defining clear goals and customer intents, analysing critical test cases to ensure robust performance, refining AI outputs for enhanced accuracy and precision, and targeting actionable next steps to drive continuous improvement. These pillars enable businesses to harness AI effectively, improving customer experiences and operational efficiency.

This methodology ensures businesses can successfully harness AI technology to improve customer interactions, enhance operational efficiency, and achieve measurable results.

Complementing DART AI, the Cyara AI Trust suite is designed to help organizations address the risks associated with LLM-powered bots. In today’s CX landscape, where AI is pivotal to customer engagement, the reliability and accuracy of AI-driven chatbots are non-negotiable.

Cyara AI Trust equips businesses with tools to validate their chatbot performance, ensuring they meet the highest benchmarks for accuracy and dependability.FactCheck’s first module in this suite allows organizations to validate chatbot outputs, reducing inaccuracies and preventing AI hallucinations. FactCheck and the forthcoming modules will bridge the “trust gap” in chatbot implementation, enabling companies to confidently deploy AI.

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