AI Phone Agent Workflow with Call Analysis and Automation

This workflow demonstrates the creation of an AI-powered phone agent that handles call transcription, analysis, and integration with multiple services for enhanced customer support and operational efficiency. It is designed to process incoming call data, extract key information, and respond via Telegram or schedule events in Google Calendar. Key nodes include filtering call events, analyzing call transcripts with OpenAI models, retrieving and storing data in a vector database (Qdrant), and managing Webhooks for real-time interactions. Practical use cases include automating appointment bookings, generating concise call summaries, and retrieving company data using RAG (Retrieval-Augmented Generation) systems. This setup is ideal for businesses aiming to automate customer interactions, streamline scheduling, and leverage AI to provide quick, accurate responses in a support or sales environment.