Tricentis

Tricentis has launched an innovative agentic AI strategy featuring remote Model Context Protocol servers and Agentic Test Automation, enabling enterprises to enhance software quality engineering through autonomous operations and customizable AI-powered testing solutions, particularly for complex ERP environments.

Effective management of Enterprise Resource Planning (ERP) systems is crucial for modern businesses, as these dynamic platforms require ongoing testing, quality assurance, and real-time monitoring to mitigate risks and enhance performance, thereby transforming potential pitfalls into opportunities for growth.

Tricentis and SAP Activate offer a comprehensive guide to navigating the migration journey to S/4HANA, likening it to a high-stakes race where preparation and maintenance are crucial. The white paper divides the process into five distinct phases: Discover, Prepare, Explore,...

As businesses seek to navigate the ever-evolving landscape of enterprise software, the integration of artificial intelligence (AI) emerges as a pivotal force reshaping SAP releases. Stemming from a rich history dating back to the conceptualization of AI in the 1950s,...

If your S/4HANA migration is greenfield, brownfield, or in between, learn how to avoid false starts and unexpected costs with change impact analysis and automated testing. Find other insightful content from Tricentis on their Partner Page.

Cloud technologies are revolutionizing our working world – including Oracle Cloud. Software testing will be an essential component of your coming Oracle migration strategy, ensuring your business continues to run as usual before, during, and after the change. Click to...

A report by Tricentis reveals that testing is increasingly recognized as a critical area for AI investment in the DevOps lifecycle, with practitioners highlighting its potential to enhance efficiency and software quality while addressing challenges such as skills gaps and cost reduction.

At SAP Sapphire Orlando 2024, Tricentis highlighted its AI-driven Tricentis Tosca Copilot tool aimed at enhancing mobile application quality, revealing that poor mobile app quality costs businesses significantly, while emphasizing the potential of AI and low-code/no-code solutions to improve testing efficiency and business outcomes.