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3 Reasons You Can’t Ignore AI-Driven Testing

by Antony Edwards, on 2/4/20

In a recent Forbes article, contributor Tom Groenfeldt says “We need to find a way to combine the strength of exploratory testing with automation—a way to combine manual testing, which is smart but slow and expensive, and automated which is fast but stupid.”

Eggplant has found a way to do this with our Digital Automation Intelligence Platform. The solution enables companies to combine these traditionally siloed components through AI-driven automation that tests from the users’ perspective.

We truly believe that success in the digital age cannot be achieved without modernizing testing strategies to avail of AI—and we’re not alone. According to Gartner, “By 2023, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity with greater agility and scalability.” In addition to these benefits, AI in testing will drive improvements in numerous areas, including:

The Customer Experience

Providing a high-quality, seamless customer experience is a goal that unites companies of every size and sector. As such, it follows that organizations need a user-centric approach to testing that allows them to experience their technology through the eyes of their users. The goal is to understand how customer experiences and business outcomes are affected by the technical behavior of the application. More than this, though, it’s about identifying opportunities for improvements and predicting the business impact of those improvements.

AI-powered test automation provides companies with this intelligence, enabling them to test real user journeys and feed those insights back to DevOps. As a result, rather than just checking whether the technology works, testing becomes a strategic resource for continuously optimizing the customer experience and tracking how technical factors relate to business outcomes.

Optimizing Operations

As evidenced by the Gartner quote above, a key benefit of AI-driven testing lies in its ability to drive operational improvements. More specifically, robotic process automation (RPA) can be used to automate manual processes—making business users more productive while simultaneously reducing errors and accelerating outcomes. And because a user-centric approach to testing enables companies to focus on how people are actually interacting with the technology, human resources can then be deployed more effectively and strategically in support of that perennial goal: delighting users with every digital interaction.  


AI in testing is also critical to ensuring websites and applications comply with industry-specific standards as well as regulations governing the accessibility of digital services. In the case of the latter, by responding to visual and audio inputs and continuously checking for compliance issues AI-driven testing can easily address accessibility concerns and help companies avoid the ramifications of non-compliance.  

These are just a few of the many reasons why companies cannot afford to ignore the benefits of AI-driven testing. Download our latest Ebook to find out more about AI in testing. You can also learn more about how Eggplant can help make them a reality for your organization today.

Topics:artificial intelligenceAI in testing

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