I’m exploring the new UiPath Agentic AI features and I’d like to understand how they specifically help with UI Automation.
Could someone please share how Agentic AI improves things like:
• Selector reliability and UI element detection
• Handling UI changes (self-healing or adaptation)
• Dynamic navigation across different screens or applications
• Reducing failures caused by layout or version changes
I’m especially interested in real examples where Agentic AI made UI automation more stable, resilient, or easier to maintain compared to traditional rule-based workflows.
Any insights, best practices, or lessons learned would be greatly appreciated.
Agentic AI improves UI automation by using Healing Agent to auto‑suggest new selectors, fix broken ones, add smart delays, and recover from unexpected pop‑ups, increasing selector reliability and UI detection accuracy.
It adapts to UI changes through just‑in‑time analysis and self‑healing that updates selectors and applies recovery steps, reducing failures caused by layout or version updates.
It supports dynamic navigation and stable execution by combining robust logic with AI‑based fallback strategies that keep workflows running even when the UI changes unpredictably.
For more:
If helpful, mark as solution. Happy automation with UiPath