On March 10, Tricentis announced the launch of its unified, agentic quality engineering platform powered by the new Tricentis AI Workspace. By orchestrating a team of intelligent AI agents, the new platform empowers enterprise teams to deliver rapid innovation while managing risk and resources, fundamentally redefining how high-quality code can be tested, governed, and released, at the speed of AI.
The current AI boom is fueling even greater acceleration in both the pace and scope of change among the countless applications that comprise modern enterprise landscapes. Errors in even a single application can quickly cascade throughout an organization’s connected application ecosystem, increasing downtime, introducing risks, and derailing business objectives. Generic AI tools may appear smart and fast, but without a complete understanding of specific application context and critical end-to-end application connections, results can be unreliable and risky.
The Tricentis Agentic Quality Engineering Platform combines powerful AI agents with decades of Tricentis expertise and proprietary technology across nearly 200 ERPs and packaged applications, while also extending to web and custom apps to accelerate and scale software development and quality autonomously while human employees retain oversight, judgment, and accountability.
Tricentis AI Workspace operates as a single, unified 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.
“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. While enterprises demand speed, they also can’t afford to introduce risk through unsecure or low-quality AI-generated code,” said Kevin Thompson, chief executive officer at Tricentis. “That’s the problem Tricentis is solving today. We’re offering the first end-to-end agentic software quality platform that redefines how enterprise software can be tested, governed, and released to deliver high-quality code at the speed of AI while safely accelerating time-to-value.”
“We’re already using agentic testing at Tricentis and are experiencing real impact in our transformation projects,” said David Cowell, VP of AI and machine learning at Tricentis. “A cloud migration that would typically take a few months took us just one week with agentic AI. That’s the kind of step-change enterprises need, compressing release cycles without increasing risk, and enabling teams to move faster without cutting corners on quality.”
Source: Tricentis
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