Leveraging AI in Workday Testing: Ensuring Quality and Efficiency

AI-powered technology is permeating every area of the cloud-based ERP industry. We've already seen how AI enables individuals and enterprises to increase productivity, make better decisions quickly, and drive innovation. It's no surprise that Workday has emerged as a pioneer in utilizing AI to manage their workforce and financial processes.

This blog looks at two areas of AI within the Workday universe:

1. How AI is changing Workday’s internal workings, making the platform more intuitive, predictive and efficient for everyone.

2. How AI-driven test automation is letting customers test Workday smarter and faster—so updates are seamless, compliance is stronger and ROI is higher. Because what’s the point of innovation if it breaks what’s already working?

Enter Opkey—the Workday lifecycle optimization platform designed to tackle these critical issues. With Opkey you can future proof Workday with confidence, knowing your business-critical processes are protected every step of the way.  

Let's dive in!  

How AI Is Changing Workday Itself  

Machine Learning and Artificial Intelligence (AI) influence improves the Workday experience by providing intelligent solutions for end users.  

Here are different ways that Workday itself is elevating performance with Generative AI capabilities.

• Advanced data analytics: Workday's platform now includes AI-powered data analytics capabilities, allowing organizations to obtain deeper insights into their workforce and financial data.  

• Improving the employee experience: Workday Generative AI capabilities go beyond back-office activities and improve the overall employee experience. Employees can use Workday AI-powered chatbots and virtual assistants to access information, submit requests, and receive personalized recommendations.

• Customizing training and development for the workforce: Workday users can leverage AI to develop a trained and adaptable workforce. This targeted approach ensures that employees receive the proper training at the right time, allowing them to advance and thrive within the organization.

• Intelligent risk management: Workday uses generative AI capabilities to assist customers simplify risk management duties, minimize business process errors, and improve overall reporting and compliance accuracy.

Turning to Testing: Why Is AI Enabled Testing Now Necessary?

According to Statista, the global software testing industry is anticipated to reach $50.4 billion by 2027. This emphasizes the importance of software testing in the development and deployment of software applications.

Testing remains one of the most time-consuming and costly efforts in software development. Augmenting AI in testing processes can dramatically improve efficiency and efficacy, resulting in better outcomes. AI-powered testing can easily identify defects, and even predict future issues and vulnerabilities, and thus provide deeper insights into system performance, eventually saving time and money.

Why Do You Need Workday AI Testing?

As we've seen, Workday has implemented advanced AI features into its platform, emphasizing the need for AI-enabled testing. Workday AI automated testing assures that features are reliable, effective, and secure. By using AI in testing, Workday users can make sure that their AI-driven features deliver accurate and valuable results while also maintaining high performance and customer satisfaction.  

• Workday's AI features, like predictive analytics and automated decision-making, are complex and require advanced AI testing to ensure their correctness and reliability.

• Workday ERP systems handle massive volumes of HR, payroll, and financial data. AI testing solutions can efficiently handle and validate big datasets, which is critical when evaluating AI features that need considerable data processing.

• Workday ERP is susceptible to biannual major releases and minor changes throughout the year. Artificial intelligence testing automates repetitive and time-consuming testing procedures, such as regression tests, which are required with each new update or release.

• By automating big portions of the testing process, AI lowers the need for considerable manual testing, resulting in cost savings.

How Opkey Utilizes Agentic AI to Enhance Testing, Compliance, and Security for Workday Customers

Opkey is leading the agentic AI revolution in the ERP space. Built on years of real-world ERP expertise, our ERP Lifecycle Optimization Platform is the first of its kind to maximize the power of agentic AI. Leveraging an ERP-specific small language model, combined with advanced process mining, observability, intelligent web automation, and a “human in the loop” methodology, we’ve developed a full digital workforce of specialized agentic AI agents.   

Read more: A Practical Guide to Workday Testing

• AI-powered Impact Analysis: Opkey's AI-powered Impact Analysis feature provides smart analytics of the changes within two Workday releases. Instead of testing all the test cases, customers only need to test those that are highly risky. Thus, eliminating hours of effort and struggle. Additionally, it provides detailed analytical reports to see changes across the releases that affect your Workday application.  

Read more: How AI Is Optimizing ERP Testing & Software Efficiency

• AI-powered Self-Healing: Workday applications are prone to frequent changes. Opkey's AI-powered Self-Healing feature uses AI algorithms to detect and automatically resolve issues and changes that would otherwise require (direct) human intervention. One of the major advantages of Self-Healing is that it allows for easier refactoring and maintenance.  

• AI-powered Test Builder: It is now possible to generate test cases even before the code has been written or built. Opkey uses AI algorithms to analyze and identify various graphical elements such as buttons, fields, and menus. Based on these analytics, it develops test cases that mimic user interactions. Additionally, during test execution, the Opkey AI engine simulates user interactions like clicks, inputs, and selections. It then confirms that the program responds appropriately to these activities and notifies any faults or defects. Making test case generation and execution easy for users.

• Wilfred, Opkey's Chatbot: Wilfred helps you generate, execute, and maintain tests with Natural Language Processing (NLP). Opkey has a proprietary ERP-specific language model that means Wilfred is fast, accurate, and customized to your business needs.  

• Test Discovery:  Opkey's Test Discovery engine accesses ERP software's event and configuration logs to extract relevant data.  By using AI-analyzed ERP data, teams can confidently know which tests they are currently running, gain complete process transparency, pinpoint inefficiencies, and find the gaps in their processes.  By comparing the tests they are running with the processes, QA teams can remove uncertainty about which tests must be executed. With this knowledge, QA teams can prioritize important test cases, increase test coverage, and enhance overall testing efforts.  

Opkey is more than a platform—it’s your partner for every stage of the Workday journey. As the first ERP Lifecycle Optimization Platform (ELOP), Opkey combines deep domain expertise with AI-driven automation to streamline implementation, testing, training, and support.

Opkey reduces cost, risk, and time-to-value, ensuring your Workday investment delivers ongoing ROI and transforms ERP into a true system of intelligence.