Introduction
Frequent updates, new portal launches, and system migrations put immense pressure on quality assurance (QA) teams. Testing often becomes a bottleneck to delivering new features. Imagine an AI-powered assistant creating and executing tests at the same pace as developers write code. Agentic testing offers this potential by leveraging intelligent agents to accelerate and enhance software testing. Within the UiPath ecosystem, agentic testing is emerging as a transformative approach for enhancing QA in application development and post-migration regression testing.
What is Agentic Testing in UiPath?
Agentic testing is a modern testing approach where AI agents act as co-testers, independently analyzing applications, generating test cases, executing them, and adapting to changes in real time. Unlike traditional automation, which is bound by pre-scripted steps, an agentic system can make decisions on the fly during a test. By leveraging advanced AI technologies like ChatGPT, agentic systems can understand requirements or user stories, subsequently creating and executing tests with minimal human intervention. This adaptive approach enables AI to learn, respond, and simulate diverse real-world conditions, identifying potential issues that could be overlooked by static scripts.
One common misconception is that AI-driven testing on an RPA platform is limited to testing bots. In reality, agentic testing within UiPath can be applied to any software environment, including web portals, mobile apps, APIs, and more. These AI agents are capable of interacting with a website or making API calls just like human testers, making this approach suitable for all kinds of application testing, not just RPA workflows.
How UiPath Test Suite and Test Manager Come Together with AI?
UiPath incorporates these AI capabilities into its testing suite, enabling teams to seamlessly enhance their QA workflows. Autopilot for Testers serves as the AI assistant that generates test cases and automatically adjusts tests in the event of slight application changes. The UiPath Test Suite then executes these tests with robust automation across interfaces, while Test Manager oversees and organizes the tests with complete traceability to requirements. In essence, Autopilot generates tests, Test Suite executes them, and Test Manager supervises the outcomes.
Step-by-Step: Agentic Testing in Action
Discover how teams can integrate UiPath’s Autopilot, Test Suite, and Test Manager into their workflow for optimal efficiency. Below is a step-by-step guide for utilizing these tools in practice, focusing on a web application scenario (applicable both in the development phase and post-migration).
1. Identify Key Scenarios
The team defines the critical user journeys and functions to test. For example, a user login, a multi-page form, or a critical API call.
2. Generate Tests with Autopilot
Using UiPath Autopilot, the team turns each scenario into an automated test. A tester enters a natural language prompt directly in UiPath Studio. For example, create a test case for the login page that includes both valid and invalid credential scenarios, and checks for error messages. Autopilot instantly converts this into a complete automated test script. It covers inputs, expected results, and field-level validations, all based on the prompt.
3. Review and Refine the AI Output
The team quickly reviews the Autopilot-generated tests and performs any needed tweaks. Often, the AI’s draft is almost ready to use, with just small additions like extra assertions or minor data adjustments for edge cases.
4. Execute the Tests
The team runs the automated tests using UiPath Test Suite (Orchestrator). Tests can be run on demand or triggered automatically in a CI/CD pipeline whenever new code is deployed. The automated tests interact with the application’s UI and APIs as they execute, entering inputs and verifying outputs.
5. Track Results and Iterate
After execution, results are logged in the Test Manager’s dashboard with a clear Pass/Fail status for each test and links back to each requirement. Failures are handled case by case. If a test fails due to a software bug, the team logs a defect for developers. If it fails due to a test script issue, the testers adjust or regenerate the test and run it again. This feedback loop repeats with each iteration, catching issues early on.
Empower QA with Smarter Ways of Testing
Agentic testing with UiPath’s AI tools boosts quality assurance by transforming testing into a collaborative process between human testers and AI. This results in increased test coverage and productivity for QA teams, rapid feedback for developers, and accelerated project delivery with fewer issues for stakeholders. Testers save time by avoiding script writing and can concentrate on analysis and problem-solving.
Adopting this approach may require some new skills and processes, but you do not have to navigate it alone. At Miracle Software Systems, Inc., we help clients pilot and implement agentic testing in a practical, results-driven way. From initial setup to integrating with your development pipeline, our experts ensure that the transition to AI-powered testing delivers real value.
Now is the time to explore how agentic testing could work for your organization. We encourage you to connect with us to discuss pilot projects and experience firsthand the benefits of this innovative testing approach in improving your QA processes.
