Cresta Launches Automated AI Agent Testing: Closing the Trust Gap in Enterprise AI

For years, enterprises have been intrigued by the promise of AI agents in the contact center. The efficiency gains are undeniable, but one obstacle has consistently slowed adoption: trust. Business leaders know the stakes and customer interactions are too valuable to risk on an unproven agent.

Now Cresta is aiming to change that. With the launch of its Automated AI Agent Testing suite, the company introduces a way to use AI to test AI, giving enterprises the assurance that every AI agent released is accurate, compliant, and production-ready.

Why Trust Is the Deciding Factor in AI Adoption

Enterprises have moved beyond pilots; they’re looking for scale. Yet, according to PwC’s 2025 AI Agent Survey, only 25% of leaders trust AI agents to act autonomously in customer conversations. This hesitation is not about capability it’s about risk.

When an AI agent makes a mistake in a customer interaction, the cost is not just operational, it’s reputational. Enterprises want to know: Will my AI agent work as promised, in every scenario, at every scale?

Cresta’s announcement speaks directly to this anxiety. It reframes AI not as a “black box” to trust blindly, but as a system that can be validated with rigor—before it ever reaches a human customer.

“Cresta helps you move fast and scale confidently with the best-performing and most secure AI Agents. With Automated AI Agent Testing at their fingertips, businesses have the tools they need to trust that every AI Agent release is reliable, scalable, and ready to ship.”

Ping Wu

CEO @ Cresta

Here's What Cresta Announced

At its core, Cresta’s Automated AI Agent Testing is a fully integrated suite that allows enterprises to run exhaustive, AI-driven evaluations of their AI agents. 

The system doesn’t just accelerate testing, it redefines how testing is done. Key innovations include:

• Expert-Aligned LLM Judges
  Large Language Models trained to act as evaluators, checking both the accuracy of responses and adherence to critical workflows like compliance checks or security steps.

• Dynamic Simulated Visitors
  AI-driven “virtual customers” modeled from millions of real conversations. These visitors create hundreds of realistic personas and scenarios, surfacing edge cases manual testers often miss.

• Enhanced AI Agent Evaluators
  Modular tools for measuring performance across workflows, conversations, or even individual dialogue turns. Enterprises gain flexibility in how they benchmark quality.

• In-Product Feedback Loop
  Customer conversation reviews can now be instantly turned into test cases, creating a living library of guardrails that help AI agents improve with every iteration.

Together, these capabilities allow enterprises to run 15x more tests than traditional human methods, achieve 35% faster release cycles, and improve AI agent accuracy by 20%.

Why This Is Important

What Cresta has built is more than a testing toolkit—it’s an assurance framework. Just as continuous integration transformed software engineering, automated testing for AI agents could become a non-negotiable standard for CX.

For enterprises, this means:

• Faster path to scale: Agents can be deployed more quickly and safely, removing QA bottlenecks.

• Evidence-based confidence: Business leaders no longer have to “trust their gut” on whether AI is ready. They get measurable, repeatable validation.

• A safeguard for regulated industries: Finance, healthcare, and insurance firms can enforce compliance with far less manual overhead.

The market has been waiting for a trust-enabling layer. With this launch, Cresta positions itself at the center of the next phase of AI adoption: from possibility to production at scale.

Who Should Pay Attention

• CX Leaders seeking to balance human and AI workforces without risking customer trust.

• Chief Compliance Officers in regulated sectors where subtle errors can trigger legal exposure.

• Technology Buyers evaluating AI platforms not just on performance but on the safeguards that make performance sustainable.

AI adoption is entering a new maturity curve. Competitive advantage will be defined not only by outcomes delivered, but by the confidence frameworks that make those outcomes sustainable at scale.

Final Thoughts

Cresta has made one of the most important announcements in the CX AI space this year. Automated testing of AI agents is no longer a “nice to have”—it is becoming the backbone of safe, enterprise-grade deployment.

By embedding trust directly into its platform, Cresta is carving out a leadership position in what we would define as AI Assurance—the critical layer that will separate vendors capable of scaling in Fortune 500 environments from those that remain stuck in pilot projects.

We recently hosted Cresta CEO Ping Wu on our podcast, where he and CMO Russell Banzon shared their vision for the future of AI agents. You can watch that conversation here: Cresta CEO & CMO on AI That Delivers Real CX Impact.