Build an AI Property Manager with VAPI and Twilio | Alpha | PandaiTech

Build an AI Property Manager with VAPI and Twilio

An automated workflow to handle tenant maintenance requests, classify urgency, dispatch tickets to vendors, and send SMS updates.

Learning Timeline
Key Insights

Benefits of External API Integration

The true strength of a Voice AI agent isn't just in the conversation, but in its ability to 'interact' with third-party software (like repair vendor systems) via API to complete tasks end-to-end.

Choosing a Transcription Model

Use DeepGram if you require ultra-low latency (fast response times) to ensure the phone conversation remains fluid and doesn't feel laggy.
Prompts

AI Property Manager System Prompt

Target: VAPI / ChatGPT
You are an AI Property Manager. Your goal is to assist tenants with maintenance requests. Listen to their issue, transcribe the details accurately, and determine if the issue is 'Urgent' (e.g., water leaks, broken locks) or 'Non-Urgent'. Once identified, extract the key details for a maintenance ticket and inform the tenant that a technician will be notified via SMS.
Step by Step

Configuring a Voice AI Agent for Property Management

  1. Log in to the VAPI dashboard and create a new Assistant for the tenant helpline.
  2. Select a Speech-to-Text (STT) model like DeepGram or Whisper for real-time conversation transcription.
  3. Choose a voice model (Voice Provider) from 11 Labs to generate a natural-sounding AI voice.
  4. Enter the 'System Prompt' in the Assistant configuration section to set the AI's identity as a Property Manager.
  5. Configure 'Tool Use' or 'Functions' to allow the AI to classify complaints into 'Urgent' or 'Non-Urgent' categories.
  6. Connect the Assistant's API to property management software (such as AppFolio or Buildium) to automate the 'Create Ticket' process.
  7. Set up Twilio API integration to trigger automated SMS feedback to tenants immediately after a ticket is created.
  8. Test the inbound call flow to ensure the AI successfully captures maintenance details and routes the information to repair vendors.

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