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Tricentis, a global leader in agentic quality engineering, is addressing this challenge head-on with the launch of its unified, end-to-end agentic quality engineering platform. Powered by the new Tricentis AI Workspace, the platform orchestrates a team of intelligent AI agents to help enterprises scale quality at the speed of AI with built-in governance and human oversight.
Tricentis has launched the first end-to-end Enterprise Agentic Quality Engineering Platform, powered by the new Tricentis AI Workspace.
The platform orchestrates multiple AI agents across the software development lifecycle to autonomously test, govern, and release code while maintaining human accountability.
It addresses the risk of cascading errors in connected enterprise applications, where generic AI tools lack the necessary context to ensure quality.
Key agents include those for Quality Intelligence, Test Automation, Performance Testing, and Test Creation, each with defined responsibilities.
Early deployments have shown significant results, including a cloud migration completed in one week instead of months and up to 60% automation of regression test grids.
The AI Workspace serves as a "control tower" with native agent collaboration, embedded governance, and full auditability.
The rapid adoption of AI is accelerating the pace and scope of change across enterprise application landscapes. However, errors in a single application can quickly cascade through an organization's connected ecosystem, leading to downtime, introducing risks, and derailing business objectives. Tricentis notes that generic AI tools, while fast, lack the complete understanding of specific application context and critical end-to-end connections, making their results unreliable and risky. The new platform combines Tricentis' proprietary technology and expertise across nearly 200 ERPs and packaged applications with powerful AI agents to solve this problem.
“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.”
The Tricentis AI Workspace functions as a unified command center, providing shared context and integrated workflows for native agent-to-agent collaboration. It acts as the system of record for agentic quality engineering, coordinating AI agents across testing, automation, performance, and quality intelligence while embedding governance, approvals, and auditability directly into execution.
Within the AI Workspace, several specialized AI agents work together with defined responsibilities across the software development lifecycle.
This agent continuously interprets change, risk, and quality signals across the SDLC to determine release readiness. It automatically directs testing and escalates issues to humans only when their judgment is required.
Building on a previous launch, the updated Agentic Test Automation agent now includes support for SAP GUI and web applications, along with intelligent reuse of test modules to reduce duplication. Complementing this is the Agentic Performance Testing agent, which embeds autonomous agents across analysis, design, and execution to accelerate insights by up to 90-95%.
Deeply integrated into Tricentis qTest, this agent works alongside test engineers to assist with in-context test authoring. It enables natural-language test creation, allowing teams to generate reusable test cases faster and more consistently while reducing reliance on specialized expertise.
“The Tricentis AI Workspace is a strategic inflection point for us because it enables agentic orchestration across the entire software development lifecycle — not just code generation or test automation,” said Paul DiGrazia, Vice President of Quality Engineering at Wolters Kluwer. “As AI accelerates software creation, the real challenge becomes trust — software is often nearly right, but not production-ready. Our approach shifts Quality from manual test creation to confidence engineering. Instead of simply generating tests, our agents actively identify unknowns, prevent defect classes, orchestrate risk-based validation, and provide readiness signals that support human decision-making. This allows us to move at the speed of AI while shipping responsibly — reducing risk, improving release confidence, and delivering measurable ROI through faster delivery, fewer escapes, and continuous learning at scale.”
These agents form the foundation of a broader platform designed to evolve toward fully autonomous, continuously governed quality engineering. Early benefits include faster quality throughput, with some deployments achieving up to 60% automation of regression test grids, as well as centralized policy enforcement and lower-risk AI adoption through embedded human review gates.
Additional resources:
Launch Party and Live Demo: Join us March 25 at 10 a.m. CT / 3 p.m. GMT
Website: Tricentis AI Workspace
Website: AI-powered quality
About Tricentis
Tricentis is a global leader in agentic quality engineering. The Tricentis Agentic Quality Engineering Platform leverages the power of AI and decades of Tricentis technology and expertise to provide a new and fundamentally different way to ensure software quality across large and complex enterprise application environments. An approach that’s totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC.
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