Tricentis, a global leader in AI-augmented software quality, unveiled its vision for AI-powered quality engineering at Tricentis Transform 2025. The announcement introduces a unified AI workspace and agentic ecosystem, centralizing management of Tricentis’ AI agents, Model Context Protocol (MCP) servers, and platform services to deliver software quality at modern enterprise speed and scale.
Tricentis launches a centralized AI workspace for managing agentic quality engineering.
The platform integrates AI agents, MCP servers, and enterprise toolchains for scalable quality management.
Autonomous AI supports faster, safer, and more reliable software releases.
Agentic portfolio includes Tosca, SeaLights, qTest, and NeoLoad, supporting diverse enterprise environments.
Upcoming 2026 features include AI-powered performance testing and enhanced Salesforce test automation.
Tricentis Transform 2025 showcases demos, partnerships, and expert sessions with SAP, Oracle, and industry leaders.
With generative AI accelerating software creation, organizations face rising code complexity and volume. Traditional testing methods struggle to keep up, making autonomous, intelligent quality systems essential.
“AI is reshaping not just how we code, but how we assure quality,” said Eran Sher, Chief Product Officer, Tricentis. “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.”
Tricentis reframes quality engineering as a strategic discipline where AI agents work alongside skilled professionals to ensure faster, safer, and more reliable releases.
The AI workspace is an enterprise-grade hub for managing AI agents, workflows, and governance across the software lifecycle. Key capabilities include:
Onboarding and orchestrating AI agents from Tricentis, partners, or third parties.
Defining governance and security policies for responsible AI operations.
Integrating into SDLC workflows via Jira, GitHub, and ServiceNow.
Monitoring agent performance and compliance through unified dashboards.
Scaling quality engineering autonomously, letting teams focus on higher-value initiatives.
The workspace unites Tricentis’ agentic portfolio, including Agentic Test Automation (Tosca), Quality Intelligence (SeaLights), Test Management (qTest), and Performance Engineering (NeoLoad), connected via MCP servers for secure interoperability across enterprise systems.
The 2025 Tricentis Quality Transformation Report highlights the growing costs of defects, with 63% of organizations deploying untested code and 81% reporting losses exceeding $500k annually. Agentic AI technologies address these challenges by continuously learning from outcomes, improving reliability, and reducing risk.
Portfolio highlights at Transform 2025 include:
Agentic Performance Engineering (beta 2026): Self-optimizing AI-powered performance testing.
SeaLights: Extending support to C/C++ and ABAP, enabling test impact analysis and efficiency across SAP and enterprise environments.
Agentic Test Automation for Salesforce: Faster, adaptive testing with AI-driven automation.
Tricentis is a global leader in AI-augmented software quality. Its AI-driven, continuous testing and quality engineering portfolio delivers automated, codeless, and intelligent software testing for agile and complex enterprise applications. Tricentis helps enterprises accelerate digital transformation, reduce costs, and improve software quality. Recognized by Forrester, Gartner, and IDC, Tricentis serves over 3,000 customers, including McKesson, Allianz, Telstra, Dolby, and Vodafone.
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