Agent Studio Education
Part 13: Moveworks Decision Policies Explained: Adaptive Automation Processes
Moveworks Decision Policies create adaptive automation processes for plugins to evaluate conditions and make context-aware decisions to enhance the user experience with tailored responses for different scenarios.
Watch these Agent Studio Academy tutorial videos to learn more
- Part 1: Agent Studio Overview - Easily Build AI Agents To Drive Transformation
- Part 2: Intro to Plugins & How They Automate Business Tasks With AI Agents
- Part 3: Understanding Task Automation With Conversation Processes
- Part 4: Moveworks AI Agent Marketplace Overview And Agent Installation Guide
- Part 5: Creating Resuable HTTP Connectors For Multiple HTTP Actions
- Part 6: How To Use Built-In Actions And Their Common Use Cases
- Part 7: Customizing Agent Studio With Scripts & Compound Actions
- Part 8: Understanding The Purpose Of Slots As Data Placeholders
- Part 9: Differentiating Between Static And Dynamic Resolvers
- Part 10: Supported Data Types In Agent Studio
- Part 11: Processes Personalization With User Attributes And Platform Data
- Part 12: Understanding Action And Content Activities
- Part 13: Moveworks Decision Policies Explained: Adaptive Automation Processes
- Part 14: Natural Language (NLU) Triggers: User Intent Recognization
- Part 15: Improve Plugin Security And Compliance With Moveworks Launch Rules
- Part 16: Moveworks DSL & Data Mappers: Plugin Rules & Data Organization
- Part 17: Troubleshoot Agent Studio Plugins With The Logs App
- Part 18: Building AI Agents for Automated Procurement Purchase Requests