News

Tricentis Introduces Agentic Quality Engineering Platform for Enterprise Software Development

• By John K. Waters
• March 12, 2026

Software quality assurance provider Tricentis has introduced a new enterprise platform designed to apply artificial intelligence agents across software testing and quality engineering processes.

The platform is powered by a new component called Tricentis AI Workspace, which the company said coordinates AI agents that monitor risk and support rapid software development across the software development lifecycle.

In its announcement, the company described Tricentis AI Workspace as a centralized system for managing automated quality processes.

“Tricentis AI Workspace operates as a command center with shared context, integrated workflows, and native agent-to-agent collaboration to serve as the system of record and ‘control tower’ for agentic quality engineering, coordinating AI agents across testing, automation, performance, and quality intelligence, while embedding governance, approvals, and auditability directly into execution,” the company said.

Tricentis said the platform addresses challenges organizations face as artificial intelligence accelerates software development and deployment. As applications change more quickly and systems become more interconnected, errors in a single application can introduce operational risk and potential downtime.

Kevin Thompson, chief executive officer of Tricentis, said organizations are struggling to balance development speed with confidence in the quality of AI-generated code.

“AI is transformative in its ability to create code at unprecedented speed, however the friction caused by lack of confidence in the quality of the output is causing CIOs real pain,” Thompson said. “While enterprises demand speed, they also can’t afford to introduce risk through unsecured or low-quality AI-generated code. That’s the problem Tricentis is solving today.”

The company said the platform includes multiple AI agents designed to handle specific quality and testing functions across the software development lifecycle.

Tricentis Agentic Quality Intelligence continuously interprets change, risk, and quality signals to assess release readiness and direct testing activities, escalating issues to human teams when necessary.

An updated version of Tricentis Agentic Test Automation expands capabilities introduced in earlier releases. The new version adds support for SAP GUI and web applications, deeper integration with Tricentis Tosca automation engines, and tools to reuse test modules, reducing duplication and maintenance work.

The platform also includes Tricentis Agentic Performance Testing, which embeds autonomous agents across performance testing analysis, design, and execution. The company said the system can accelerate performance insights by up to 90-95 percent.

Another component, Tricentis Agentic Test Creation, integrates with the company’s qTest platform and helps test engineers create test cases using natural language while generating reusable test scenarios.

Tricentis said the platform is intended to help enterprises test, govern, and release software more efficiently while maintaining oversight and auditability across automated processes.