Tricentis unveils AI tools to revolutionise enterprise software testing
Tricentis has disclosed two new AI-based developments intended to change the landscape of enterprise software testing through the introduction of Remote Model Context Protocol (MCP) servers and Agentic Test Automation.
Agentic AI for testing
The company has introduced remote MCP servers, a technology designed to enable AI agents to directly access and operate enterprise software testing solutions, such as Tosca, NeoLoad, and qTest. An on-premises option will also be available for SeaLights.
MCP servers present what Tricentis calls the "UI for AI" infrastructure, supporting direct interaction by AI agents with enterprise testing tools. Tricentis says the protocol gives customers and partners the option to co-develop solutions or build their own, using agents powered by systems including Anthropic's Claude AI, OpenAI, or platforms such as Cursor. The open framework is intended to offer customisability for organisations seeking to configure their AI testing strategies to meet their specific requirements and internal standards.
Early access partners have relayed positive feedback regarding these enhancements. Paul DiGrazia, Vice President Quality Engineering at Wolters Kluwer, commented:
"We're excited about where Tricentis is going with their agentic strategy. Being part of their co-development program, our testing team gained early access to Tricentis remote MCP servers and it's been a major unlock. 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's going to help transform how we do Quality Engineering at Wolters Kluwer."
The adoption of MCP as a standard for AI agent interoperability has attracted interest from industry names including Anthropic, OpenAI, and Microsoft; Tricentis is working to integrate MCP into production software quality workflows.
Autonomous test automation
Tricentis Agentic Test Automation, scheduled for general availability in July, is an AI agent capable of autonomously generating full test cases from plain language, adapting these cases based on previous test runs, and responding to the specific environment and requirements of a given enterprise. The solution incorporates Vision AI technology, designed to interpret visual elements across varied platforms, including SAP Fiori and web environments.
Integration with Tricentis Tosca allows the agentic solution to automate processes within existing enterprise settings. Early adopter organisations have reported up to 85% time savings in test creation and a 60% overall productivity increase. The automation capabilities are intended to allow teams to focus on strategic work rather than routine testing.
Chris Rolls, Chief Executive Officer Americas at TTC Global, said:
"The launch of Tricentis remote MCP servers represents a major innovation that enables partners like TTC Global to seamlessly integrate Tricentis AI models into our AI Enhanced Quality Engineering platform. This advancement helps us accelerate test design, improve model accuracy across channels, and significantly boost productivity in our automation workflows. The result is smarter, more connected testing that drives higher quality at speed for our clients."
AI workflows for all users
A beta version of new AI workflow features has also been released, offering persona-aware, chat-based user interfaces. The tools are designed for accessibility, allowing people of differing skill levels to interact with AI, generate test cases, manage test data, and automate manual testing processes. The workflows support multi-agent and human-agent communication tailored to the user's context and needs.
These launches are part of a flexible AI strategy aimed at giving organisations a choice in how AI is incorporated within software quality operations. Tricentis states this approach is meant to enable hybrid AI models and democratise access to AI solutions across their clients' operational spectrum.
Kevin Thompson, Chief Executive Officer at Tricentis, outlined the motives underpinning the strategy:
"In IT, everything eventually converges into a hybrid model. 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."
Over the coming months, Tricentis plans further announcements relating to agentic and autonomous AI features within their software quality framework.
