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Author: Jane Edwards || Date Published: October 29, 2025
Tricentis has launched a unified artificial intelligence workspace that links its portfolio of AI agents, AI platform services and Model Context Protocol, or MCP, servers into a central hub for quality engineering.
“AI is reshaping not just how we code, but how we assure quality,” Eran Sher, chief product officer of Tricentis, said in a statement published Oct. 14.
“We believe the future belongs to teams that combine human ingenuity with autonomous AI systems, orchestrating quality at every stage of delivery with unprecedented speed, insight and precision,” Sher added.
How Does the Unified AI Workspace Support Agent-Driven Workflows?
According to Tricentis, the workspace aims to give enterprises a single environment to onboard and orchestrate AI agents from the company and its partners; set governance and security policies for responsible AI operations; and integrate into software development lifecycle workflows using GitHub, Jira, ServiceNow and other tools.
Launched at Tricentis Transform 2025, the workspace is designed to enable teams to monitor agent compliance and performance through unified dashboards and manage agentic AI workspaces while focusing on more complex tasks.
The enterprise-grade environment combines the company’s agentic portfolio, including its Tosca agentic test automation, SeaLights quality intelligence platform and qTest for test management, via MCP servers that facilitate interoperability across enterprise toolchains and AI systems.
Scheduled for release in 2026, the Tricentis AI workspace is designed to provide organizations with an intelligent platform to manage, govern and scale AI-driven software testing and quality engineering
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