April 01, 2026
Cyara Introduces Agentic AI Testing to Grow Trust in CX
The race to deploy agentic AI in contact centres is accelerating, but confidence in those systems has not kept pace. The AI-powered customer experience assurance provider, Cyara, has announced new agentic testing and AI governance capabilities designed to give enterprises the tools to validate, monitor, and control AI agents across voice and digital channels before and after they reach customers.
Agentic Testing and AI Trust
The announcement centres on three additions to Cyara’s platform. The first is Agentic AI Testing for Voice and IVR, available now with early enterprise deployments already underway. Rather than relying on conventional scripted testing, the approach pits AI systems against one another to surface failures and regressions before they reach production. It is designed to cover both traditional IVR journeys and the more dynamic, unpredictable interactions generated by newer AI-driven systems.
The second is an expansion of Cyara’s AI Trust suite through two new modules: Compliance and Bias. The Compliance module is built to surface legal and regulatory risks within AI-driven customer interactions, while Bias is intended to flag inequities in how those interactions play out across different customer groups. Cyara positions AI Trust as the governing layer for AI-powered CX, covering validation for accuracy, misuse, and regulatory adherence alongside the new additions.
The third is a recommendation engine for agentic CX, aimed at helping QA teams design and optimise prompts without requiring deep AI or prompt-engineering expertise. The tool is intended to accelerate test development and broaden coverage across both scripted and agentic test cases.
The Trust Gap Driving Demand
Survey data cited by Cyara uncovered that 73% of consumers say human agents resolve issues faster than AI. Not only are CX teams are under pressure to demonstrate that their AI deployments are effective, but trustworthy too. Research from HubSpot and SurveyMonkey found, for example, that 82% of consumers would still choose a human over AI in customer service, even if response times and outcomes were the same.
Despite these clear concerns among customers, Gartner predicted that agentic AI will autonomously handle 80% of common customer service interactions without human involvement by 2029, delivering a 30% reduction in operational costs. For that forecast to materialise, however, the industry will need more than ambition. It will need assurance infrastructure to match.
The confidence argument
Sushil Kumar, CEO at Cyara, impressed the importance of being able to demonstrate the effectiveness of AI: “Every enterprise wants to deploy AI agents in their contact centre. The ones who actually will are the ones who can prove those agents work, before customers find out they don’t.”
Kumar described the new capabilities as a response to a foundational principle that the degree of oversight applied to an AI system must be proportionate to the autonomy it is given. Any AI agent placed on a live customer call must demonstrably handle conversations correctly, meet regulatory requirements, and avoid introducing bias.
As demand for greater explainability grows across enterprise AI deployments, vendors face questions about what their systems can do and how they can show it is being done responsibly. Sean Rabago, Senior Service Expert and Capability Lead at Kenway Consulting, said agentic AI presents a categorically different kind of risk to enterprises, and argued that Cyara’s tooling gave organisations a way to manage that exposure without slowing deployment or stifling innovation.
For CX leaders focused on building the skills their teams need to sustain customer trust, Cyara’s launch is part of a broader shift to confront the trust issues within the increasing proportion of AI comprising these teams. Given the improving technology to deploy AI responsibly coupled with customer demand, validating agents before they reach customers will no doubt become a baseline expectation rather than a competitive differentiator.
