I. What is Agentic Testing?

• Recapping the evolution — manual → automation → agentic

• What makes a testing system "agentic"

• Difference between rule-based automation and intelligent, adaptive systems

• Real-world scenarios where agentic testing adds value

• Where agentic testing fits in the modern quality engineering landscape

II. Introduction to UiPath Autopilot™ for testers

• What UiPath Autopilot™ is and what it can do

• Role of AI in reducing manual testing effort

• How Autopilot™ enhances test design, generation, and execution workflows

• How it connects with Test Manager and Orchestrator

III. Prompt-based testing approaches

• Generating test cases using natural language prompts

• How AI interprets requirements and user intent

• Exploring AI-assisted test design concepts

• Prompt best practices for accurate test generation

IV. Converting manual tests into automation with AI

• Using AI assistance to accelerate automation development

• Understanding intelligent test generation workflows

• Improving productivity for testers who aren't developers

V. Self-healing & adaptive automation

• What self-healing automation means in practice

• How systems detect and recover from UI changes automatically

• Reducing maintenance effort without modifying scripts manually

• Improving automation stability and long-term resilience

VI. Autonomous test execution

• Understanding autonomous execution concepts

• Reducing dependency on manual intervention in test runs

• Intelligent execution monitoring and adaptive responses

VII. Live demo — building a use case with agentic testing

• Defining a real-world test scenario end to end

• Using Autopilot™ to generate the test case from a natural language prompt

• Watching the agentic system plan, execute, and adapt the test

• Reviewing the execution result, logs, and AI-generated insights

• Highlighting what would have required manual effort without agentic testing

📌 By the end of this session, participants will gain a practical understanding of how UiPath Autopilot™ and AI-assisted testing approaches improve testing efficiency, simplify automation development, and support the evolution toward intelligent and agentic testing practices.