New Tricentis AI Workspace and team of AI agents enable enterprises to scale quality at the speed of AI with built-in governance and human oversight

AUSTIN, TEXAS – March 10, 2026 – Tricentis, a global leader in agentic quality engineering, today 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.”

Meet the agents

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 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 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.

Benefits include:

Faster quality throughput at enterprise scale: Orchestrates AI agents, tools, and workflows to eliminate manual handoffs and enable continuous quality execution as delivery speeds increase, with early deployments achieving up to 60% automation of regression test grids.
Operational control and governance over AI: Centralizes policy enforcement, approvals, and auditability, giving leaders visibility into what AI is doing and when human intervention is required.
Lower-risk AI adoption: Embeds human review gates and oversight into execution so enterprises can scale AI without increasing compliance or operational risk.
Accessible AI across quality teams: Enables zero-code creation and management of AI agents so teams can scale AI consistently without specialized skills or custom development.

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. Tricentis has more than 3,000 customers, including some of the globe’s most respected brands such as Experian, T-Mobile, Jaguar Land Rover, Allianz, Telstra, Dolby, and VodafoneZiggo. To learn more, visit www.tricentis.com.

Media Contacts:
Tricentis
Courtney Cantwell
c.cantwell@tricentis.com