Case Study: Twin Health achieves reliable clinical onboarding at scale with Cekura

A Cekura Case Study

Preview of the Twin Health Case Study

Twin Health delivers 15-minute AI onboarding with Cekura

Twin Health, a healthcare technology company, faced significant challenges in scaling the clinical onboarding process for its AI voice agent, "Ella." The agent needed to manage thousands of conversational paths to collect accurate medical data securely, requiring flawless multi-agent orchestration, strict adherence to medical protocols, and robust protection of sensitive personal information. Any failure in its logic could compromise clinical safety and HIPAA compliance. To ensure reliability, Twin Health turned to Cekura for its testing and observability platform.

By integrating Cekura, Twin Health implemented a proactive, simulation-driven quality assurance model. The solution included building an exhaustive test suite with Cekura's Forward Deployed Engineering team and mandating regression testing before every deployment. This ensured new features enhanced the agent without causing errors elsewhere. The results were a highly dependable system that consistently passed security red-teaming, maintained strict PII integrity, optimized operational efficiency, and delivered an improved, clinically rigorous patient experience.


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