A green pipeline doesn’t mean your code still does what you intended. Learn how a global technology company is using AI Workspace to detect intent drift and bring continuous quality intelligence to AI-assisted development.

AI is accelerating software development, but its confidence can hide critical performance risks until it’s too late. Traditional testing approaches can’t keep up with the speed and scale of AI-generated code. In this blog, we explore how agentic performance testing shifts validation earlier in the lifecycle, helping teams detect issues before they become costly, release-blocking failures.

The Tricentis Global Partner Awards 2026 recognize the organizations shaping the future of quality engineering and digital transformation. From AI innovation to enterprise-scale delivery, these partners are setting new standards for excellence and impact across industries worldwide.

As AI-generated code accelerates delivery, traditional QA metrics like code coverage and pass rates no longer reflect real risk. Quality intelligence helps teams test what truly matters.

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.

NeoLoad 2026.1 brings a more unified and modern NeoLoad Web experience across deployment models, offers cloud capabilities with enhanced security features for teams with strict network requirements, and strengthens governance for how Virtual User Hours (VUH) are managed across complex organizations.

A Tricentis data leader explains how AI is reshaping analytics careers—and why SQL, judgment, and business context matter more than ever.

Agentic AI is transforming SAP testing by automating test creation, execution, and analysis. With Tricentis, teams accelerate testing by up to 8x and reduce bottlenecks in complex SAP environments.

Explore key takeaways from the Tricentis Agentic Quality Engineering Platform launch, including AI agents, AI Workspace, and how teams scale quality in the age of AI.

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.

Consumer goods companies face rapid SAP S/4HANA rollouts, strict compliance, and complex global supply chains. Discover how GyanSys and Tosca use AI-driven test automation to achieve 75% faster regression cycles, 90% automation coverage, and 50% QA cost reduction.

Explore the winners of the Tricentis Regional Partner Awards 2026, recognizing partners driving innovation, customer success, and AI-powered quality engineering worldwide.

A new Forrester report reveals how Tricentis SAP quality assurance solutions deliver 403% ROI, reduce testing scope by 84%, cut release times by 83%, and slash hypercare costs — all while accelerating S/4HANA transformation.

AI is generating code faster than enterprises can validate it. The Tricentis Agentic Quality Engineering Platform unifies AI agents, governance, and enterprise context to help teams automate testing, reduce risk, and release high-quality software at AI speed.

Tricentis NeoLoad introduces Agentic Performance Testing and AI Chat, enabling autonomous performance workflows that reduce analysis time by up to 95% and embed AI-driven intelligence across the performance lifecycle.

Oracle AI World Tour highlights agentic AI, OCI infrastructure, modern data platforms, and workflow automation—introducing new testing challenges around trust, reliability, and cross-system impact.

AI Workspace enables enterprises to orchestrate and govern AI agents across the SDLC, making autonomous quality engineering scalable and safe.

Modern software delivery moves fast, but green dashboards don’t always mean real coverage. As AI accelerates code generation, the gap between test activity and true validation continues to grow.

AI is accelerating software delivery, but traditional test management can’t keep up. As applications change faster and AI generates more code, quality teams face growing risk and shrinking decision windows.

Agentic Test Automation in Tosca enables enterprise QA teams to generate complete, executable end-to-end tests using natural language prompts. Powered by AI agents and Tosca’s automation engine, it reduces manual effort by up to 85% while accelerating AI-driven software delivery.

Tricentis enables TTC Global to deliver faster, smarter, and scalable enterprise testing through a strategic partnership focused on innovation, AI-powered solutions, and measurable business outcomes across industries and regions.

Tricentis qTest and SeaLights work together to close AI-generated test gaps by combining user-story-based test creation with deep code coverage insights—enabling a fully automated, feedback-driven testing loop.

When leaders don’t trust their data, decisions slow and risk rises. This article explains why data trust breaks down and how continuous, automated validation restores confidence across the business.