Tricentis unveiled a groundbreaking advancement in software quality engineering with its new agentic AI strategy on June 24. It includes the launch of remote Model Context Protocol (MCP) servers and Tricentis Agentic Test Automation. It is also offering an on premise option for Tricentis Sealights. 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 directly communicate 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
Chris Rolls, CEO Americas at TTC Global, an early adopter of the solution and a key Tricentis partner, highlighted the significance of the MCP server launch saying that it represented a major innovation that enables partners like TTC Global to seamlessly integrate Tricentis AI models into their 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,” Rolls said.
Complementing the open infrastructure is Tricentis Agentic Test Automation, which features an AI agent that can generate complete test cases from natural language, learn from past results, and understand enterprise-specific context. Its technology-agnostic nature, powered by Tricentis’ Vision AI, helps diverse ERP landscapes that are often a mix of modern and legacy technologies. Early reports cite substantial time savings and productivity gains with this tool.
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 ERP Insiders
Automated testing for ERP workflows is here. The dominant market trend for large enterprises is not a single, monolithic ERP but a heterogeneous landscape combining a core system like SAP or Oracle with best-of-breed SaaS applications like Salesforce, Workday, or Coupa. For Tricentis’ customers, the biggest testing challenge is ensuring seamless end-to-end business processes across these disparate systems. Agentic Test Automation’s technology-agnostic Vision AI is critical here, as it can navigate and validate processes across different web and desktop UIs without requiring separate, specialized automation tools for each platform.
Systems integrator partnerships are getting stronger. ERP modernization projects are almost always executed with a System Integrator (SI) partner. The changing landscape demands that these SIs deliver value and innovation, not just person-hours. Tricentis’ MCP servers directly empower this trend. For an enterprise relying on a partner like TTC Global, this technology allows the SI to build more intelligent, AI-enhanced testing frameworks. This translates to faster project timelines, reduced risk during major migrations, and a more strategic, outcome-focused relationship with the implementation partner.
Improved testing across diverse tech stacks. The future of ERP is moving toward a more composable model, where businesses assemble and reassemble capabilities as needed. This requires an agile and adaptive approach to quality assurance. Tricentis’ agentic AI strategy aligns with this forward-looking trend. Enterprise leaders must now look at investing in a quality platform that can evolve rather than just testing the ERP. The ability to use Tricentis’ agents or build your own provides the flexibility to ensure that as ERP becomes modular and cloud-native, your testing strategy can adapt without requiring a complete re-tooling.
