retellai-core-workflow-a

Retell AI Core Workflow A

Overview

Primary money-path workflow for Retell AI. This is the most common use case. Retell AI is a platform for building conversational voice agents powered by large language models. It handles the telephony integration, real-time speech-to-text, LLM orchestration, and text-to-speech pipeline so that you can focus on defining the agent's conversation logic. It is commonly used for automated customer service calls, appointment booking, outbound sales dialing, and interactive voice response systems.

Prerequisites

• Completed retellai-install-auth setup
• Understanding of Retell AI core concepts
• Valid API credentials configured

Instructions

Step 1: Initialize

Authenticate with the Retell AI API and verify that your agent is configured with the correct LLM model, voice profile, and conversation script. Confirm that your phone number is registered and associated with the agent. Review the agent's interrupt sensitivity and response latency settings to ensure they produce a natural conversation pace for your target use case.

// Step 1 implementation

Step 2: Execute

Initiate a call using the Retell AI API by providing the target phone number and any dynamic variables that should be injected into the conversation script for this specific call (e.g., the customer's name or appointment time). Monitor the call status and transcription stream in real time. Review the call recording and transcript after the call completes to assess conversation quality and identify script improvements.

// Step 2 implementation

Step 3: Finalize

Extract the call outcome and any data collected during the conversation from the Retell AI call record. Update your CRM or scheduling system with the result. For high-volume outbound campaigns, aggregate call outcomes across the batch to measure connection rate, completion rate, and goal achievement rate.

// Step 3 implementation

Output

• Completed Core Workflow A execution
• Voice call completed with full transcript and recording available
• Call outcome and collected data exported for downstream use
• Success confirmation or error details if the call could not be connected

Error Handling

Error	Cause	Solution
Error 1	Cause	Solution
Error 2	Cause	Solution

Examples

Complete Workflow

// Complete workflow example

Common Variations

• Variation 1: Description
• Variation 2: Description

Resources

• Retell AI Documentation
• Retell AI API Reference

Next Steps

For secondary workflow, see retellai-core-workflow-b.