Browser-based automation is gaining traction in testing, but it reads only the UI. Most SAP and Oracle transactions happen off screen, in backend tables no browser tool can reach. Here’s why ERP testing needs governed, end-to-end validation.
Discover how Sogeti and Tricentis helped a leading manufacturer modernize SAP testing with business assurance, end-to-end automation, and risk-based testing.
For decades, integration testing meant validating an API contract: right endpoint, right schema, right status code. But MCP lets AI agents discover and chain tools on their own, so the question is no longer just “did each tool respond correctly?” but “did the agent make the right decisions, in the right order, with the right data?” Here’s how the standard changes integration testing.
Narwal.ai uses Tricentis to modernize enterprise QA, achieving 81% faster cycles, 95% automation coverage, and scalable continuous testing.
Learn how Accenture and Tricentis help enterprises ship faster with AI-powered automation, GxP-compliant testing, and quality engineering at scale.
Capgemini uses Tricentis to modernize banking QA, reducing automation effort by 40–60% and enabling scalable, compliant testing across complex systems.
Conventional test scripts miss how users actually behave. Learn how model-based testing and Business Flows in Tosca help teams build reliable, user-centered tests.
TRIMEDX used Tricentis Tosca and NeoLoad to reduce critical bugs by 50%, improve test execution, and ensure compliance across healthcare systems with faster, more reliable releases.
Kellanova used Tricentis Data Integrity to automate data validation, reduce testing time by 85%, increase coverage by 35%, and cut error rates to just 1% during a global migration.
Why 95% of AI pilots fail—and what good agentic AI looks like. Learn how workflow integration, context, and governance drive AI adoption at enterprise scale.
