Tricentis aims to define new era of enterprise agentic software quality
We have now entered the era of agentic software, obviously.
That means agentic software tools i.e. developer toolsets, workflows, interconnects and more that are powered by agentic intelligence to formulate and function more rapidly and with greater accuracy.
It also means we have agentic software applications i.e. apps that not only feature agentic software services at the user presentation layer, but ones that execute before and during runtime with agentic blueprints to make them less error prone, more robust and more intelligent.
All of which also provides us with a third truth, we also now have agentic software quality as a discipline designed to managing risk and resources, while also redefining how high-quality code can be tested, governed and released at the speed of AI.
This is the space Tricentis operates in.
The company has this month announced the launch of its agentic software quality platform powered by the new Tricentis AI Workspace, a control plane that makes agentic quality engineering usable at scale as it orchestrates AI agents, workflows and human oversight across the software development lifecycle.
Orchestrating intelligent AI agents
The company reminds us that AI agents can dramatically accelerate software quality, but at enterprise scale they introduce new challenges: loss of visibility, fragmented workflows and unmanaged risk. By orchestrating a team of intelligent AI agents, the new platform allows enterprise teams to manage risk and resources.
“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 organisation’s connected application ecosystem, increasing downtime, introducing risks, and derailing business objectives,” details Tricentis, in a product statement.
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.
Humans, always in the loop
The Tricentis Agentic Quality Engineering Platform combines powerful AI agents with the company’s 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.
Human employees remain in a position where they retain oversight, judgment and accountability.
“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 insecure or low-quality AI-generated code,” said Kevin Thompson, chief executive officer at Tricentis.
Thompson says his team is 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.
Unified command centre
He further explains Tricentis AI Workspace as a technology that operates as a single, unified command centre 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.
“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.”
Within Tricentis AI Workspace are several AI agents working together with defined responsibilities across the entire software development lifecycle (SDLC):
- Tricentis Agentic Quality Intelligence: Continuously interprets change, risk, and quality signals across the SDLC to determine release readiness, automatically directing testing and escalating to humans only when judgment is required.
- Tricentis Agentic Test Automation (updated): Building on the initial launch of Agentic Test Automation, this next generation increases productivity. New features include support for SAP GUI and web applications, deeper integration with Tricentis Tosca automation engines, and intelligent reuse of test modules to reduce duplication, maintenance, and risk.
- Tricentis Agentic Performance Testing: Delivers enterprise-ready, AI-driven performance validation by embedding autonomous agents across analysis, design, and execution – accelerating insights by up to 90–95%, eliminating manual expert bottlenecks, and enabling faster, more confident AI-era release decisions from API to end-to-end systems.
- Tricentis Agentic Test Creation: Integrated deeply into Tricentis qTest, Agentic Test Creation lives side by side with test engineers, helping them with in-context test authoring. Enables natural-language test creation, allowing teams to generate reusable test cases faster and more consistently while reducing duplication and reliance on specialised expertise.
The company says that these agents and the capabilities they unlock represent the foundation of a broader agentic quality platform, designed to evolve as enterprises move toward fully autonomous, continuously governed quality engineering over the next several years.
