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Cresta Introduces AI-Powered Testing Suite for Reliable AI Agent Deployment

September 30, 2025•Cresta•Original Link•2 minutes
AI Testing
Contact Center
Automation

Cresta launches Automated AI Agent Testing to ensure accurate, reliable, and secure AI deployments for contact centers.

Cresta, a leading contact center AI platform, has unveiled its Automated AI Agent Testing suite, designed to help businesses deploy AI agents with confidence. The new feature uses AI to test AI, ensuring agents are accurate, reliable, and secure before reaching customers.

Key Features of the Testing Suite

  • Expert-aligned LLM Judges: AI-powered tools evaluate both the content and workflow compliance of AI agents, ensuring adherence to security protocols and approved responses.
  • Dynamic Simulated Visitors: AI-driven virtual customers mimic real user behavior, testing agents against edge cases and identifying potential failure points.
  • Enhanced AI Agent Evaluators: Modular evaluation tools provide flexible performance metrics across workflows, conversations, or individual interactions.
  • In-Product Feedback Loop: Businesses can review past conversations, label mistakes, and create test cases to prevent future errors.

Benefits for Businesses

According to PwC's 2025 AI Agent Survey, only 25% of business leaders trust AI agents to act autonomously. Cresta's solution addresses this gap by:

  • Running 15x more tests than traditional methods.
  • Reducing release cycles by 35%.
  • Improving accuracy by 20%.

CEO Ping Wu emphasized: "Accuracy and trust are crucial in any AI deployment. Our Automated Testing suite ensures AI Agents are reliable and ready to ship."

About Cresta

Cresta enhances contact center performance by combining AI and human intelligence. Clients like Alaska Airlines, Cox Communications, and CarMax use Cresta to deliver superior customer experiences. Learn more at Cresta.com.

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About the Author

Alex Thompson

Alex Thompson

AI Technology Editor

Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.

Expertise

Technical Writing
Content Strategy
AI Education
Developer Relations
Experience
8 years
Publications
450+
Credentials
2
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