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<\/p>\n
Tricentis, a global leader in agentic quality engineering, today announced the launch of its unified, agentic quality engineering platform powered by the new\u00a0Tricentis 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.<\/p>\n
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\u2019s 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.<\/p>\n
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.<\/p>\n
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 \u2018control tower\u2019 for agentic quality engineering, coordinating AI agents across testing, automation, performance and quality intelligence, while embedding governance, approvals and auditability directly into execution.<\/p>\n
\u201cAI 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\u2019t afford to introduce risk through unsecure or low-quality AI-generated code,\u201d said Kevin Thompson, Chief Executive Officer at Tricentis. \u201cThat\u2019s the problem Tricentis is solving today. We\u2019re 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.\u201d<\/p>\n
\u201cWe\u2019re already using agentic testing at Tricentis and are experiencing real impact in our transformation projects,\u201d said David Cowell, VP of AI and Machine Learning at Tricentis. \u201cA cloud migration that would typically take a few months took us just one week with agentic AI. That\u2019s the kind of step-change enterprises need, compressing release cycles without increasing risk, and enabling teams to move faster without cutting corners on quality.\u201d<\/p>\n
Meet the agents<\/p>\n
Within Tricentis AI Workspace are several AI agents working together with defined responsibilities across the entire software development lifecycle (SDLC):<\/p>\n
Tricentis Agentic Quality Intelligence:\u00a0Continuously 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.<\/p>\n
Tricentis Agentic Test Automation (updated):\u00a0Building on the initial launch of\u00a0Agentic Test Automation, this next generation increases productivity. New features include support for SAP GUI and web applications, deeper integration with\u00a0Tricentis Tosca\u00a0automation engines, and intelligent reuse of test modules to reduce duplication, maintenance, and risk.<\/p>\n
Tricentis Agentic Performance Testing:\u00a0Delivers enterprise-ready, AI-driven performance validation by embedding autonomous agents across analysis, design, and execution \u2013 accelerating insights by up to 90\u201395%, eliminating manual expert bottlenecks, and enabling faster, more confident AI-era release decisions from API to end-to-end systems.<\/p>\n
Tricentis Agentic Test Creation:\u00a0Integrated 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.<\/p>\n
\u201cThe Tricentis AI Workspace is a strategic inflection point for us because it enables agentic orchestration across the entire software development lifecycle \u2014 not just code generation or test automation,\u201d said Paul DiGrazia, Vice President of Quality Engineering at Wolters Kluwer. \u201cAs AI accelerates software creation, the real challenge becomes trust \u2014 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 \u2014 reducing risk, improving release confidence, and delivering measurable ROI through faster delivery, fewer escapes, and continuous learning at scale.\u201d<\/p>\n
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.<\/p>\n
Benefits include:<\/p>\n
Faster quality throughput at enterprise scale:\u00a0Orchestrates 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.<\/p>\n
Operational control and governance over AI:\u00a0Centralizes policy enforcement, approvals, and auditability, giving leaders visibility into what AI is doing and when human intervention is required.<\/p>\n
Lower-risk AI adoption:\u00a0Embeds human review gates and oversight into execution so enterprises can scale AI without increasing compliance or operational risk.<\/p>\n
Accessible AI across quality teams:\u00a0Enables zero-code creation and management of AI agents so teams can scale AI consistently without specialized skills or custom development.
\nThe post Tricentis Debuts First Enterprise Agentic Quality Engineering Platform first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
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 Tricentis, a global leader in agentic quality engineering, today announced the launch of its unified, agentic quality engineering platform powered by the new\u00a0Tricentis AI Workspace….<\/p>\n
The post Tricentis Debuts First Enterprise Agentic Quality Engineering Platform<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-1839","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n