Systems | Development | Analytics | API | Testing

As AI-aided software development lifecycles pick up speed, performance teams are left with the familiar challenge of too much work, too few specialists, and results that take too long to analyze. Over the past year, Tricentis NeoLoad has shipped capabilities designed to address each of these problems directly. What started with Augmented Analysis accelerating root cause identification grew into a fully connected Model Context Protocol (MCP) architecture.

State and local governments are under growing pressure to modernize the systems that power essential services, from healthcare and human services to transportation and public safety. At the same time, citizens expect fast, seamless digital experiences when interacting with government agencies. To meet these expectations, many agencies are investing in large-scale ERP transformations, including SAP and Oracle migrations.

We surveyed 2,501 IT decision-makers, QA professionals, and business leaders across six countries for our second annual Quality Transformation Report. Respondents came from organizations with 150-plus employees across manufacturing, energy and utilities, retail, financial services, and the public sector. One of the major findings: confidence in AI agents making release decisions dropped from 48% in 2025 to 34% in 2026. That’s a 14-point decline in a single year.