
Feb 5, 10:30 – 11:30 AM (UTC)
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Here, we explore how Screenplay uses AI to understand UI structure beyond traditional selectors, enabling resilient & stable automations across environments. How it handles dynamic interfaces, reduces maintenance effort, improves reliability through a live demo. We also cover Business Rules & how separating decision logic from workflows helps scale automation, ensure compliance & simplify updates.
Introduction to the virtual series
What today's session will cover
Screenplay as UiPath’s AI-based UI automation
How it intelligently understands UI structure using AI
How it improves reliability compared to traditional selectors
AI-driven UI interpretation
Working with fuzzy, dynamic, or unstable selectors
Handling UI changes without breaking the automation
Real-world examples of AI improving selector accuracy
When Screenplay is more powerful than classic selector-based automation
Scenarios involving complex UIs, legacy systems, or frequent UI changes
More resilient automations
Reduced maintenance and break-fix effort
Faster development using AI-generated interactions
High stability across environments and resolutions
Requirements to enable Screenplay
Assistant/Cloud setup
Best practices before using it in production
Understanding how Screenplay consumption works
Creating an automation with Screenplay
Showing AI-based selector insights
Comparison of classic vs. Screenplay execution
Quick troubleshooting & best practices
Definition and purpose in automation
How rules are different from workflow logic
Where rules fit in real-world processes
Scalability, maintainability, and versioning benefits
Integrating business rules into workflows
Making your automation easy to update
Ensuring compliance & consistency through central rules
Recap of key learnings
What’s coming in the next session
Questions from participants