Tricentis, a software testing and quality engineering company, has expanded its existing software licensing program contract with the State of California, announced June 16. The company has held approved vendor status with the California Department of General Services since 2020. The expanded agreement allows state and local government users to procure the full Tricentis Agentic Quality Engineering Platform, including its recently introduced AI Workspace, through a simplified process with pre-negotiated terms.
The expansion builds on existing usage rather than establishing a new customer relationship. Tricentis said it already serves more than 10 California state and local agencies across revenue, healthcare, transportation, financial and public-safety services, reaching more than 39 million residents.
Tricentis describes AI Workspace as a control plane for designing, deploying, governing and scaling AI agents that perform quality engineering tasks, functioning as a system of record for how AI operates within software delivery while enforcing policies, approvals and audit trails. The platform spans nearly 200 ERPs and packaged applications, with named agents covering different functions: Agentic Test Automation, branded Tosca, handles test automation; Agentic Test Creation, branded qTest, handles test creation; Agentic Quality Intelligence, branded SeaLights, covers quality intelligence; and Agentic Performance Testing, branded NeoLoad, covers performance testing.
Ben Baldi, Senior Vice President of Global Public Sector at Tricentis, framed the contract around trust in AI-generated testing output:
"Public sector entities cannot take full advantage of AI's ability to accelerate software creation without ensuring the utmost trust." He added that California government teams "can now meet the demand for AI innovation confidently" while leaders "deliver the best citizen experience with less risk and the highest quality."
For organizations running SAP environments, the contract is relevant less as a product endorsement and more as a signal about how AI-supported testing intersects with governance requirements. SAP landscapes involve transports, segregation-of-duties reviews, dependencies outside the SAP system, and release gates, and AI-generated testing activity does not reduce that complexity on its own. Whether that activity becomes reviewable evidence, capable of being approved, traced and defended by an auditor, depends on whether each AI-supported test output can be linked to a specific approved change, an approval record and an audit trail.
Tricentis maintains that human employees retain oversight, judgment and accountability for testing outcomes even as AI agents take on more of the testing workload, with the organization deploying the platform retaining responsibility for audit exposure.
