Real Estate

Fazwaz, AI Voice Calling

FazWaz, a top brokerage and property management company in Thailand, needed a faster way to verify property availability with thousands of landlords. Thaiger AI implemented an AI-powered voice calling system, automating the process and reducing manual workload while ensuring near-complete response coverage.

The leading real estate marketplace in Thailand

Challange

FazWaz relied on a small rental support team to call landlords manually, leading to slow response times, high labor costs, and inconsistent data updates. Managing thousands of properties manually was inefficient and unscalable.

Solution

Thaiger AI built a fully automated AI voice call system that contacted landlords, recorded responses, and fed structured data into FazWaz’s database. If a call was unanswered, the system automatically redialed until a response was received.

Result

The solution achieved a 97% landlord response rate, drastically reducing manual work. FazWaz saved 55,000-65,000 THB per month in staffing costs while ensuring real-time property availability updates with minimal human intervention.

Background

FazWaz operates as a leading real estate brokerage and property management company in Thailand. With thousands of rental listings, keeping up-to-date availability data is critical for both landlords and tenants. However, their manual landlord survey process was inefficient, requiring a small team to call landlords and gather information.

The Challenge: High Volume, Low Efficiency

FazWaz’s rental support team faced three key challenges:

Scalability Issues: Manually calling thousands of landlords was unsustainable.
Low Efficiency: Agents spent hours daily making calls and chasing unanswered numbers.
High Costs: Maintaining a full-time call team increased overheads.

To scale its rental operations without increasing staff, FazWaz needed a fully automated process.

AI Solution: Smart Voice Calling & Automated Data Processing

Thaiger AI implemented an intelligent AI-powered calling system, integrating Make, Vapi, and Airtable to streamline the entire landlord survey workflow. Key features included:

✅ Automated Call Scheduling: AI voice calls were triggered at optimal times based on landlord availability.
✅ Real Human-Like Interaction: Calls used a pre-recorded voice of the team lead, creating a natural experience.
✅ Real-Time Data Capture: Landlord responses were automatically logged and summarised into FazWaz’s database.
✅ AI-Powered Call Summarisation: ChatGPT analyzed responses and formatted them into structured reports.
✅ Persistent Follow-Ups: If a call was unanswered, the system would automatically redial until a response was received.

Implementation Process

Database Structuring: All landlords were organised in Airtable with contact details and call logs.
AI Voice Call Activation: Vapi AI triggered calls, using a team lead’s recorded voice for authenticity.
Real-Time Data Collection: AI captured and summarised responses into structured property updates.
Automated Follow-Ups: Calls were re-attempted for any unanswered responses.

Results & ROI

📈 97% success rate, meaning almost all landlords were successfully surveyed.
💰 Cost savings of 55,000-65,000 THB/month, reducing the need for 2 full-time rental support agents.
🤖 Near-zero manual intervention, with the team lead only required for a few hours per month.
🚀 Seamless database integration, ensuring real-time updates on property availability.

Future Impact & Scalability

With this AI-driven process in place, FazWaz is now looking to:

Expand AI calling to other departments, such as buyer/seller inquiries.
Integrate WhatsApp for landlords who prefer text-based updates.
Automate rental price trend analysis using AI insights from survey responses.