Live! 360 Orlando

Tricentis has unveiled its new Agentic Quality Engineering Platform, designed specifically for enterprise software development. This innovative platform leverages the capabilities of the Tricentis AI Workspace to coordinate a variety of AI agents, each responsible for managing different aspects of the software testing and quality assurance process throughout the software development lifecycle. As organizations increasingly adopt generative AI to accelerate the pace of code creation, the need for robust mechanisms to ensure the quality and security of software becomes critical. The Agentic Quality Engineering Platform addresses these challenges by employing specialized AI agents that enhance quality intelligence, facilitate automated testing, conduct performance analysis, and enable the creation of tests using natural language. Key features of the platform include SAP GUI support, integration with Tricentis Tosca, and the ability to automatically reuse test modules, significantly streamlining the testing process.The Tricentis AI Workspace serves as a centralized management system, functioning as a command center that integrates workflows and enables collaboration among AI agents. This comprehensive oversight allows for effective governance, approvals, and auditability throughout the execution of automated quality processes. Kevin Thompson, CEO of Tricentis, emphasized the platform's importance in helping organizations navigate the delicate balance between rapid development and maintaining confidence in the quality of AI-generated code. By offering solutions that mitigate operational risks and reduce potential downtimes, the platform aims to empower enterprises to test, govern, and release software more efficiently, thereby enhancing their overall software quality and operational resilience. In addition, the Tricentis Agentic Quality Intelligence component continuously evaluates change, risk, and quality signals to ensure that release readiness is accurately assessed and that issues can be escalated to human teams when necessary, thereby creating a more responsive and intelligent testing environment.