Tricentis leaders explore how AI is transforming QA from test execution to decision intelligence, emphasizing trust, context engineering, and human judgment at the center of quality.

Data quality focuses on fixing isolated issues, but modern organizations need data integrity: continuous, lifecycle-wide validation that prevents silent errors, reduces rework, protects AI initiatives, and strengthens decision making. Learn the steps to build a data integrity program and why it’s becoming essential across the business.

Foulk Consulting used Tricentis Tosca to help a Fortune 500 energy provider cut testing cycles by over 50% and increase coverage by 75%—ensuring scalable, compliant QA in a regulated environment.

As agentic AI reshapes work, the most durable careers will blend soft skills, AI literacy, domain expertise, and continuous learning.

ImpactQA partnered with Tricentis to streamline SAP S/4HANA testing for a global oil and gas company—cutting test effort, reducing risk, and improving visibility with Tosca, qTest, and LiveCompare. The result: 30% cost savings and smarter, faster releases.

AI will reshape QA in 2026, from advanced agentic testing to new workforce training standards.

NeoLoad introduced breakthrough innovations in 2025 — from built-in AI analysis to MCP and RealBrowser Core Web Vitals. In 2026, it’s going even further with a performance agent, reverse communication agent, and expanded SAP integration to make performance testing smarter and faster than ever.

Discover how LTIMindtree powered global enterprises with Tricentis to deliver speed, stability, and AI-led quality engineering at scale.

At Oracle AI World, UL Solutions and Emerson shared how they streamlined Oracle testing with Tricentis Tosca and NeoLoad. One reduced weekly testing time by 75%, and the other optimized 17,000 test cases across global deployments—delivering faster, more reliable releases.

AI is reshaping QA roles—but senior testers are uniquely positioned to lead. Discover how to evolve your role and guide teams in the AI era.

Traditional regression testing assumes predictable, human-driven changes. AI-generated code doesn’t follow those rules. Learn how change-based regression testing, powered by tools like Tricentis SeaLights, protects quality in an AI-first software development world.

Learn how Tricentis Vision AI uses multimodal AI to generate test cases from images, diagrams, and text—accelerating automation and improving test coverage.

See how Tricentis Testim and SeaLights combine AI-powered automation and quality intelligence to reduce execution time and improve test coverage.

Discover how Tosca delivers future-ready, AI-driven capabilities that modernize and accelerate enterprise QA.

Discover how Infosys powered fast, compliant SAP rollouts for a life sciences firm using Tricentis to automate testing and validation.

Discover how Tricentis is approaching its own SAP S/4HANA journey, sharing insights on strategy, automation, and key lessons learned.

The rapidly changing AI landscape was on display at Oracle’s AI World. Learn how Tricentis helps customers manage risks that come with it.

Discover how quality engineers can build AI-driven skillsets, from prompt engineering to AI integration, and stay competitive in the age of agentic testing.

SeaLights now supports ABAP, bringing AI-powered quality intelligence to SAP testing in cloud and hybrid environments.

SQALogic used Tricentis qTest to migrate a global energy provider from ALM in under 3 months—avoiding millions in renewal costs and enabling modern, scalable enterprise test management.

Tricentis Agentic Test Automation for Salesforce uses AI-driven agents to simplify testing across Salesforce processes—delivering robust, no-code tests 67% faster than manual methods.

Tricentis NeoLoad 2025.3 enhances performance engineering with Core Web Vitals, cloud load gen & AI-powered MCP.

Learn how Tosca and SeaLights integrate to streamline testing, cut execution time, and reduce risk with smart, code-aware test selection.

Discover how Tricentis NeoLoad uses AI and MCP to simplify test result analysis, speed reporting, and improve performance insights.