The Cyara Agentic Platform enables enterprises to validate AI agents before deployment using AI-driven testing, governance, and compliance detection—ensuring autonomous AI systems deliver trustworthy, accurate customer experiences at scale.
As customer expectations rise, global markets expand, and businesses look for better ways to improve efficiency and cost savings, AI has emerged as a transformative force when it comes to delivering quality customer interactions at scale. According to Gartner, agentic AI will resolve 80% of customer service interactions by 2029—yet 73% of consumers still believe human agents resolve issues faster than AI. This gap underscores a critical challenge: simply investing in agentic AI isn’t enough to guarantee your AI agents will work as intended.
Learn more about the Cyara Agentic Platform.
Agentic AI refers to autonomous AI systems that can independently make decisions, take actions, and adapt to dynamic situations without human intervention. Agentic AI testing uses AI-driven test agents to validate these autonomous AI systems through simulated real-world conversations, rather than relying on static scripts.
It only takes a single moment of downtime to erode customer trust, shrink your bottom line, and leave your business vulnerable to compliance penalties. In this era of rapid AI transformation, organizations need a way to innovate safely and with confidence at every stage.
The answer? Comprehensive agentic testing and AI-powered CX assurance.
As part of our mission to help leading global enterprises deliver flawless customer experiences with a single unified platform, Cyara has released new agentic testing and AI governance capabilities so you can easily validate, monitor, and control AI agents across voice and digital channels.
With this latest release, Cyara helps you regain confidence in your AI investments and eliminate risks before they affect your customers. Instead of relying on guesswork and crossed fingers that your AI agents are delivering speedy, reliable, and trustworthy interactions, you can now verify performance quality in real time.
The Cyara Agentic Platform
CX has undergone major evolutions over the past several years, marking the shift from static, rule-based, and scripted interactions to dynamic, interconnected, AI-powered interactions. And while systems have grown more sophisticated, many enterprises lack the tools necessary to identify, mitigate, and overcome AI-related risks. Research shows that while 96% of CX leaders believe AI is essential, only 43% have governance policies in place, and fewer than 15% of enterprises experimenting with AI agents have an assurance framework.
The Cyara Agentic Platform addresses modern CX challenges by bringing testing, monitoring, performance validation, and AI governance together in a single unified platform. Instead of managing CX quality through fragmented tools, outdated manual testing processes, and disconnected workflows, organizations can now take a holistic approach to assurance across the entire customer journey.
Core capabilities
- Agentic AI testing for voice and interactive voice response(IVR) systems: Simulate real-world conversations to validate autonomous AI agents across voice and digital channels.
- AI Trust modules: FactCheck, Misuse, Compliance, and Bias help you validate your AI agents are delivering trustworthy and reliable responses to customer queries.
- Hybrid testing: Validate both traditional scripted IVR systems and dynamic AI-powered journeys within a single framework
- Continuous monitoring: Real-time performance validation throughout the entire AI lifecycle
By consolidating these capabilities, Cyara enables teams to continuously validate accuracy, resilience, and trust, not just before deployment, but throughout the entire lifecycle of AI-powered interactions.
The result is a more proactive approach to CX quality, where issues can be identified and resolved before they affect customers, rather than after.
Agentic AI testing for voice and IVR
Traditional testing methods rely heavily on predefined scripts and expected outcomes, which break down when AI agents produce variable responses and non‑linear decision paths. The same businesses that once found CX success with traditional testing processes must evolve or extend their testing strategies for the age of AI-powered interactions.
Traditional scripted testing vs. agentic AI testing
| Traditional scripted testing | Agentic AI testing |
| Predefined scripts with fixed inputs | Dynamic, AI-generated test scenarios |
| Expected, deterministic outcomes | Probabilistic outcomes with variable responses |
| Single-turn evaluation | Multi-turn conversational evaluation |
| Point-in-time validation | Continuous validation throughout lifecycle |
| Breaks down with non-linear paths | Adapts to unpredictable AI behavior |
The Cyara Agentic Platform uses AI to test AI, simulating real-world conversations to uncover issues that scripted tests would miss. This approach allows you to evaluate how your AI agents behave in more realistic, unpredictable scenarios, closer to how actual customers interact.
Now, Cyara offers unified agentic AI testing for voice and IVR channels. Easily validate both traditional IVR systems alongside new, dynamic AI-powered journeys.
Cyara AI Trust: compliance and bias detection
Cyara AI Trust, our generative AI testing suite, has been instrumental in helping teams eliminate AI-related risks such as hallucinations (AI-generated inaccurate or fabricated responses), security breaches, and compliance violations. AI Trust features the FactCheck and Misuse modules, which help you ensure your bots’ credibility and gain visibility into instances of harmful content generation.
AI Trust now also includes two new modules, Compliance and Bias. These modules allow your teams to identify compliance risks and detect biases that could affect customer outcomes and brand trust.
For example, the Compliance module can automatically flag when an AI agent provides financial advice without required regulatory disclosures, while the Bias module identifies responses that could lead to unfair treatment of users based on demographic factors, helping organizations address issues before they reach customers.
From scripted to hybrid testing
Designing effective test cases for agentic AI requires an understanding of conversational behavior, prompt design, and interaction flows. For many QA teams, which may lack in-depth, technical knowledge of AI prompt design, agentic AI testing is a roadblock that slows innovation and limits effectiveness.
Cyara’s new recommendation engine addresses this challenge by making agentic CX testing more accessible.
With this tool, your teams can:
- Accelerate testing without deep AI expertise.
- Generate prompting strategies for agentic and hybrid tests—testing both traditional scripted IVR and dynamic AI-powered journeys within a single framework.
- Combine scripted and agentic approaches when designing test cases.
- Improve test coverage and reliability.
Discover the confidence layer for agentic AI-powered CX
As autonomous, agentic AI-powered interactions grow in prominence and become a cornerstone to a successful CX strategy, businesses must be sure that they have not only the infrastructure to deploy AI agents, but to make sure that they’re delivering quality outcomes.
The Cyara Agentic Platform provides the confidence layer you need to assure interactions at scale, eliminate harmful risks before they affect your customers, and make the shift from reactive troubleshooting to proactive validation across all experiences, whether they’re scripted or hybrid.
Contact us for a personalized demo or visit cyara.com for more information.
Frequently Asked Questions
Agentic AI testing uses AI-driven test agents to validate autonomous AI systems through simulated real-world conversations, rather than relying on static, predefined scripts. This approach evaluates how AI agents handle variable responses, multi-turn interactions, and unpredictable customer scenarios.
Traditional scripted testing relies on predefined inputs and expected outcomes, which works for deterministic systems. AI agents produce probabilistic, variable responses and follow non-linear decision paths, making scripted approaches ineffective at uncovering real-world issues.
The Cyara Agentic Platform deploys AI-powered test agents that simulate realistic customer conversations with your AI agents. These test agents adapt dynamically during interactions, evaluating responses for accuracy, compliance, bias, and conversational quality across multiple turns.
