Project Overview
The AI Caller Agent is an intelligent, automated calling system that engages customers through natural voice conversations. By pulling customer phone numbers directly from the database, the agent initiates calls, delivers a welcome prompt, and responds dynamically to customer questions related to marketing services.
Built with Twilio, ElevenLabs, and OpenAI, the system not only converses with users in real time but also captures and stores feedback directly into the database, keeping customer records up-to-date and actionable.
Key Features
- Automated Outbound Calls – Fetches customer numbers from the database and initiates calls automatically.
- Welcome Prompt – Greets customers with a personalized introduction before the conversation begins.
- Conversational AI – Handles real-time questions related to marketing services using OpenAI prompts.
- Voice Interaction – Powered by ElevenLabs for natural, human-like speech synthesis.
- Feedback Recording – Captures and updates customer feedback directly into the database.
- Scalable & Configurable – Can be extended to multiple industries beyond marketing services
Tech Stack
- Backend: PHP / Laravel (for DB integration & call orchestration)
- AI Engine: OpenAI (conversation prompts & dynamic response generation)
- Voice AI: ElevenLabs (realistic voice synthesis)
- Telephony: Twilio (call handling, SIP/VoIP integration)
- Database: MySQL (storing customer data & call feedback)
Challenges & Solutions
1. Real-Time Conversational Flow
- Challenge: Ensuring the AI agent could handle customer questions naturally without long pauses.
- Solution: Optimized OpenAI prompts and response handling pipelines, enabling near real-time back-and-forth conversation.
2. Voice Naturalness & Engagement
- Challenge: Making the agent sound less robotic and more human-like to improve customer trust.
- Solution: Integrated ElevenLabs’ conversational AI voice technology for high-quality speech synthesis.
3. Capturing & Updating Customer Feedback
- Challenge: Feedback gathered in calls needed to be structured and linked to the right customer in the database.
- Solution: Built a structured data pipeline where call transcripts and feedback were parsed, categorized, and automatically updated in the CRM database.
4. Reliable Call Delivery at Scale
- Challenge: Handling multiple simultaneous outbound calls without system delays or failures.
- Solution: Used Twilio’s programmable voice API with proper queuing and retry logic to ensure reliable outbound calling.
Outcome
The AI Caller Agent streamlined customer outreach by replacing manual phone calls with an automated, intelligent voice system. It enabled businesses to:
- Save time by automating outbound calls.
- Gather structured customer feedback directly into their database.
- Improve customer interaction with natural, human-like AI voices.
- Scale outreach campaigns without increasing manpower.
This solution showcased how AI-powered voice agents can transform traditional telemarketing and customer engagement into a smarter, more efficient, and scalable process.
