Tricentis Agentic AI Revolutionizes ERP Testing with Autonomous Solutions

Tricentis, a leader in software quality engineering, has unveiled a groundbreaking agentic AI strategy that includes remote Model Context Protocol (MCP) servers and Agentic Test Automation. These innovations aim to revolutionize how enterprises test their complex ERP systems, enhancing efficiency and productivity.

Remote MCP Servers: A Hybrid Model for AI-Powered Testing

The remote MCP servers offer an open, secure infrastructure that allows AI agents to communicate directly with enterprise-grade testing tools. This setup promotes a collaborative ecosystem where customers and partners can tailor AI-powered testing solutions to their specific needs. Kevin Thompson, CEO of Tricentis, emphasizes the importance of flexibility: “In IT, everything eventually converges into a hybrid model. 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.”

Partner-Centric Approach with TTC Global

Chris Rolls, CEO Americas at TTC Global, an early adopter and key Tricentis partner, highlights the significance of the MCP server launch. “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.

Agentic Test Automation: Enhancing ERP Testing

Tricentis Agentic Test Automation 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 navigate and validate processes across different web and desktop UIs, making it ideal for diverse ERP landscapes. Early reports cite substantial time savings and productivity gains with this tool.

Democratising AI-Powered Testing

The new AI workflows, set to be generally available in July, will make these capabilities more accessible with intuitive interfaces. This enables a wider range of users to manage AI-powered testing tasks, from test data generation to automating manual test cases. This democratization of AI testing is a significant step forward in the industry.

Implications for ERP Insiders

Automated testing for ERP workflows is a game-changer. Large enterprises often have a heterogeneous landscape combining a core system like SAP or Oracle with best-of-breed SaaS applications like Salesforce, Workday, or Coupa. The biggest testing challenge is ensuring seamless end-to-end business processes across these disparate systems. Agentic Test Automation’s Vision AI is critical here, as it can navigate and validate processes without requiring separate, specialized automation tools for each platform.

Strengthening Systems Integrator Partnerships

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, allowing SIs 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 can assemble and reassemble capabilities as needed. This requires an agile and adaptive approach to quality assurance. Tricentis’ agentic AI strategy aligns with this trend, providing the flexibility to ensure that as ERP becomes modular and cloud-native, your testing strategy can adapt without requiring a complete re-tooling.

Tricentis’ innovations in agentic AI are set to transform the landscape of ERP testing, offering enterprises and their partners a more flexible, efficient, and intelligent way to ensure software quality.