Genesys Cloud's AI Guides platform enables organizations to create fully agentic virtual agents through a no-code, natural language interface that combines conversational AI with Large Action Model (LAM) technology. LAM-powered agents reduce hallucination risks compared to traditional large language models while delivering action-oriented AI capable of reliably completing tasks and improving self-service metrics including containment and first contact resolution rates. The platform provides a graphical user interface through AI Studio for configuring agent capabilities, tools, knowledge bases, and guardrails, along with integrated tools for intent generation, utterance management, and performance monitoring through dedicated dashboards. Implementation requires connecting agentic virtual agents to Architect Virtual Agent flows and obtaining the Genesys Cloud AI Experience license, which operates on a token-based pricing model that charges per interaction session while offering no-cost agent creation. Key operational benefits include lower authoring effort covering expanded use cases, seamless human agent handoffs, safe and scalable enterprise deployment through Architect integration, and elimination of developer involvement through the no-code interface. The deployment process involves two primary steps: creating an agentic virtual agent through the AI Studio interface, then connecting the configured agent to an Architect Virtual Agent flow to enable operational deployment. This architecture enables organizations to deploy virtual agents at enterprise scale without requiring specialized development expertise, delivering more natural conversations and higher task completion rates compared to rigid bot flows. The platform features extensible integration via the Agent2Agent (A2A) Protocol for delegating specialized tasks and safe deployment combining agentic AI with structured logic in Architect. Consumption is tracked through Genesys Cloud AI Experience tokens charged per interaction session, with no tokens consumed during agent creation, enabling organizations to monitor and manage agentic virtual agent usage effectively.