Tricentis Launches Autonomous Testing with Agentic AI

Tricentis unveiled a groundbreaking advancement in software quality engineering with its new agentic AI strategy on June 24. The plan includes the launch of remote Model Context Protocol (MCP) servers and Tricentis Agentic Test Automation. It also offers Tricentis Sealights an on-premise option. These innovations signal a shift towards autonomous operations and efficiency in how enterprises test their vital systems, especially complex and customized ERP environments.

The introduction of remote MCP servers provides an open, secure infrastructure, allowing AI agents to communicate directly with enterprise-grade testing tools. This UI for AI concept fosters a collaborative ecosystem where customers and partners can tailor AI-powered testing solutions to their needs.

“In IT, everything eventually converges into a hybrid model,” said Kevin Thompson, Chief Executive Officer, Tricentis. “That’s why we’re not prescribing a one-size-fits-all approach. With MCP and Tricentis Agentic Test Automation, we’re giving our customers the flexibility to build their own AI agents or use ours — whichever best fits their strategy. Together, these innovations start to bring our agentic AI vision to life, where AI doesn’t just assist — it acts to drive productivity, reduce risk, and transform how testing gets done.”

A Partner-Centric Approach

One of the early collaborators, Wolters Kluwer | CCH Tagetik, has already seen significant benefits. As part of a co-development program, its testing team gained early access to the remote MCP servers. Paul DiGrazia, VP of Quality Engineering at Wolters Kluwer, described the experience as a major unlock.

“We’re excited about where Tricentis is going with their agentic strategy,” said DiGrazia. “Our engineers can now explore ideas and iterate faster with Tricentis tools just by describing to AI what they want. It’s a shift from using tools to collaborating with them, and it will help transform how we do Quality Engineering at Wolters Kluwer.”

Tricentis Agentic Test Automation further enhances this collaborative approach. This new offering introduces an intelligent AI agent that can autonomously generate complete test cases from natural language prompts.

By leveraging Tricentis’ proprietary Vision AI, the agent can interpret visual elements across various platforms, making it exceptionally well-suited for complex enterprise environments like SAP Fiori. Early adopters integrating it with Tricentis Tosca report up to an 85% reduction in test creation time and a 60% boost in overall productivity.

The new AI workflows, which will become generally available in July, further democratizes these capabilities with intuitive interfaces, enabling a wider range of users to manage AI-powered testing tasks, from test data generation to automating manual test cases.

What This Means for SAPinsiders

De-risk the SAP S/4HANA user experience imperative. Successful SAP S/4HANA adoption hinges on a positive user experience, which is delivered primarily through the Fiori interface. For large enterprises undertaking complex RISE with SAP or brownfield migration projects, ensuring Fiori works flawlessly is non-negotiable. Agentic Test Automation’s Vision AI directly addresses this by testing the application from the user’s visual perspective, which is essential for validating the usability and functionality of the modern SAP experience and ensuring a smooth transition.

Empower the Citizen Tester amid a skills shortage. The testing landscape now demands earlier involvement from business users who understand the processes but lack deep coding skills. Tricentis’ new agentic approach, allowing test creation via natural language, targets this pain point. This democratizes testing in organizations where SAP functional analysts and business super-users are true experts. It enables them to translate their process knowledge directly into automated tests, bridging the gap between business requirements and QA execution without relying on a small pool of over-burdened automation engineers.

Adopt AI to achieve velocity in SAP DevOps. The move toward Agile and DevOps methodologies within SAP environments is putting immense pressure on traditional, slow testing cycles. A significant market trend is the need for continuous testing to keep pace with more frequent updates and transports. For large enterprises, this is a significant bottleneck. Agentic AI that generates tests autonomously and adapts to changes directly tackles this challenge. It provides the speed and resilience needed to integrate quality assurance into the CI/CD pipeline, ensuring that accelerated development doesn’t come at the cost of production stability.