Tricentis adds AI-generated testing to SAP ECT platform

Tricentis has added AI-assisted automated test case generation to SAP Enterprise Continuous Testing, extending the companies' existing partnership in SAP software testing.

Aimed at SAP environments, the new feature lets users create automated test cases through natural language prompts inside SAP Enterprise Continuous Testing, known as SAP ECT. The tests are generated using SAP AI Units and can be deployed within existing SAP workflows without extra tools or separate integrations.

The launch comes as companies face mounting pressure to update business systems more quickly while limiting the risk of disruption. Testing has become a more prominent part of large transformation programmes, particularly for SAP users running finance, supply chain and other core operations on customised systems.

The software also includes self-healing tests designed to reduce the maintenance work that often follows changes to applications and business processes. It can generate complete end-to-end test cases and use AI agents to design, build and refine test scenarios.

The announcement marks another step in Tricentis' relationship with SAP through SAP's Solution Extension framework. SAP Enterprise Continuous Testing by Tricentis already sits within SAP's toolchain for software delivery and quality assurance.

Testing vendors have increasingly promoted AI-based tools that promise to reduce manual work in software quality checks. For SAP customers, the issue is especially sensitive because changes to enterprise resource planning systems can affect multiple business functions at once, increasing both the cost of errors and the scale of regression testing.

Kevin Thompson, chief executive of Tricentis, linked the update to a broader shift in software development and risk management.

"AI has introduced a rate of change and industry disruption unlike anything we've seen before, and enterprises are now faced with the significant challenge of delivering high quality software at the speed of AI while also managing an accelerating level of risk," Thompson said.

"With over 20 years of leadership in advancing automation and AI, Tricentis is uniquely positioned to help customers thrive in this new wave of technological innovation, and our agentic quality engineering platform helps enterprises to do it all: move faster, manage risk, and reduce costs," he said.

Broader SAP push

SAP is also presenting the development as part of a wider effort to embed AI in business software administration and change management. The latest Tricentis addition is being brought to market as an SAP AI product through the partnership.

Karl Fahrbach, chief partner officer at SAP, said the focus was on applying AI to quality assurance tasks tied to critical business systems.

"Through our collaboration and partnership with Tricentis, we are expanding how AI can be applied to mission-critical quality assurance processes," Fahrbach said.

"This innovation helps our customers reduce manual effort, accelerate testing cycles, and maintain stability while navigating transformation. As a result, customers can benefit from AI-driven innovation that is aligned with their SAP applications and business initiatives," he said.

The system is designed to keep test creation aligned with business processes rather than treating testing as an isolated technical activity. That reflects a broader trend in enterprise software management, where technology teams are expected to map software changes more directly to operational processes and business risk.

Tricentis also highlighted related updates to SAP Change Impact Analysis, including a cloud deployment option based on SeaLights ABAP and more detailed code-level impact analysis. These changes are intended to help customers identify which business processes are affected by software changes and narrow testing to the areas of highest risk.

Such tools address a longstanding problem for SAP users: large system landscapes often require broad, repetitive test cycles even when only a limited part of the underlying code has changed. More precise impact analysis can reduce unnecessary test execution, though customers still need to validate whether AI-generated coverage is sufficient for heavily customised environments.

Tricentis serves more than 3,000 customers, including large multinational groups in telecoms, automotive, finance and media. Its SAP-related products are part of a broader market for software quality tools that has grown more competitive as vendors apply generative AI to coding, testing and application maintenance.

For SAP customers, the immediate question is whether AI-assisted test generation can reduce the labour involved in maintaining test libraries while preserving reliability during system updates.