Cyara has introduced new capabilities in agentic testing and AI governance to ensure that AI agents provide consistent and reliable interactions in customer service environments. These tools are designed to validate and monitor AI behavior across both voice and digital channels, addressing the gap between the anticipated benefits of agentic AI and the current customer experiences.
According to Sushil Kumar, CEO of Cyara, enterprises can deploy AI agents responsibly only if they can verify that these agents perform correctly, adhere to regulations, and avoid bias. “Every enterprise wants to deploy AI agents in their contact center. The ones who actually will are the ones who can prove those agents work, before customers find out they don’t,” he stated. Kumar emphasized that the level of assurance must match the autonomy of the AI systems, stating, “If you’re putting an AI agent on a live customer call, you need to know it will handle the conversation correctly, comply with regulations, and not introduce bias. That’s what Cyara now delivers.”
A recent study by Gartner indicates that agentic AI is expected to autonomously resolve 80% of common customer service issues by 2029, promising reduced costs and enhanced experiences for customers. However, many organizations continue to report dissatisfaction, as AI-driven interactions often fail to meet these expectations. Customers frequently express frustration over negative interactions, citing a lack of empathy and contextual understanding from AI agents. This has led to diminishing customer loyalty.
Organizations also struggle with inaccuracies, inconsistent guidance, and even hallucinations in AI responses, primarily due to insufficient governance. The PEX Report 2025/26 reveals that while 96% of customer experience leaders regard AI as crucial for workflows, only 43% have established governance policies. This creates a climate of uncertainty as customer demands for security, trust, and reliability rise. Without proper governance, enterprises risk violating disclosure rules, privacy requirements, and financial regulations, thereby heightening the risk associated with autonomous AI behavior.
The lack of oversight may also lead to inconsistency in interactions, with AI inadvertently generating discriminatory outcomes across different customer demographics. In this environment, bias can go unnoticed, presenting a systemic risk to organizations. There remains a disparity between CX leaders’ confidence in AI’s abilities and the reality experienced by customers.
Cyara’s Comprehensive Governance Solutions
In response to these challenges, Cyara has developed three interconnected capabilities within its AI Trust suite, aimed at ensuring reliable and governed deployments of agentic AI across various customer experience environments.
The first capability is Agentic AI Testing for Voice and IVR, which evaluates AI agents using AI-driven test agents that simulate customer interactions across diverse scenarios. By analyzing the AI’s responses and its handling of various inputs, this system can identify discrepancies between expected and actual outcomes, revealing failures that traditional testing methods may overlook. This proactive approach helps organizations pinpoint reliability gaps in AI voice systems before they reach customers.
Next, the Compliance and Bias Modules scrutinize transcripts and real-time interactions from AI agents to identify potential risks. The Compliance module assesses AI outputs against internal policies, while the Bias module investigates variations in outcomes across different customer segments. These tools help organizations detect compliance failures and bias early in the process, mitigating risks before they affect customer trust.
Finally, the Recommendation Engine for Prompt Design and Test Development analyzes the AI agent’s objectives and the customer journey to generate tailored testing prompts. This allows teams to craft test cases that reflect real customer behaviors rather than relying solely on scripted scenarios. By facilitating more comprehensive testing of adaptive AI systems, the recommendation engine helps organizations uncover vulnerabilities in agentic behavior prior to deployment.
The combination of these capabilities allows enterprises to better introduce autonomous AI into customer interactions. While the adaptability of agentic systems offers new efficiencies, it also raises the potential for unpredictable outcomes. Cyara’s solution provides ongoing validation and governance, enhancing visibility into AI operations and ensuring compliance with policies and fairness standards.
As organizations navigate the transition from human-led workflows to AI-driven interactions, establishing trust becomes imperative. By delivering consistent experiences and accurate information, Cyara aims to foster safer and more trustworthy customer interactions, thus solidifying its role in the evolving landscape of customer service.
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