AI in Testing

Covers how test automation and quality assurance needs to evolve alongside agentic engineering.

AI is everywhere, and its influence on testing and QA is profound. The potential for AI-enhanced software testing tools to revolutionize the industry is undeniable, transforming inefficiencies and bottlenecks as well as high-risk, low-quality releases into models of operational excellence. This technological leap won’t just accelerate but also transform product delivery for the better.

Hyperautomation

Hyperautomation has topped Gartner’s list of strategic technology trends for several years now, and for good reason. As adoption of automation and AI skyrockets, the tools and technologies are evolving, ushering in a new era of automation that promises to optimize business processes and improve user experiences like never before.

Difference Between AI and Automation

AI and automation. These two terms are often used interchangeably, due to the fact that they serve similar purposes. Both help businesses optimize their operations to work smarter and more efficiently.

Leapwork CoPilot Investigation

Introducing Leapwork CoPilot Investigation In enterprise testing, time spent diagnosing failed test runs can quickly become time lost, especially when systems are complex, cross-platform, and are constantly evolving. Quality Engineers often find themselves sifting through logs, reviewing screenshots, and retracing steps just to uncover a root cause. Enter Leapwork CoPilot Investigation Analysis: a new AI-powered assistant designed to streamline this process.

Leapwork Innovation Lab

Leapwork’s Innovation Lab builds experimental technologies and concepts to answer the questions about what comes next in testing. Right now, the biggest question is: What does the future for quality assurance look like and how will it interact with generative AI?

Testing of AI Applications

Artificial intelligence has taken the world by storm, transforming industries and reshaping how businesses operate. It’s no longer the distant technology seen in films; it has transitioned from a buzzword to absolutely business-critical. This is no different within the software testing space: AI is transforming how businesses use testing tools.

Autonomous Testing Explained

With AI-augmented testing tools becoming more advanced, it’s getting easier to imagine a future where automation takes over almost every aspect of business operations—including quality assurance (QA). As AI continues to revolutionize industries, organizations are embracing its ability to streamline testing processes, speed up release cycles, and tackle the complexities of modern software ecosystems.