FleetAgents: AI-Powered Voice Support Agents for Businesses
🎯 Inspiration
Customer support is broken. Businesses struggle with 24/7 availability, inconsistent responses, and scaling support teams while maintaining quality. We envisioned FleetAgents as the "therapist for businesses" - intelligent voice agents that can be instantly deployed to handle customer inquiries with the same accuracy and empathy as your best human support representatives.
🚀 What it does
FleetAgents transforms any business into a 24/7 support powerhouse through intelligent voice agents:
For Businesses:
- One-Click Agent Creation: Upload company documents, policies, and FAQs to instantly create specialized knowledge bases
- Smart Document Processing: Our system automatically extracts and indexes key information from PDFs, Word docs, and text files
- Real-time Analytics Dashboard: Track conversation metrics, common queries, and agent performance
For Customers:
- Natural Voice Conversations: Speak naturally - no menus, no waiting, just conversation
- Instant Accurate Responses: Agents retrieve company-specific information in real-time and respond with human-like voice
- Seamless Experience: Feels like talking to a knowledgeable company representative who has instant access to all information
🛠️ How we built it
Frontend & Dashboard:
- Next.js with modern UI components for the business dashboard
- Real-time document upload and processing interface
- Analytics visualization for conversation insights
Backend Infrastructure:
- Vapi: Powers our voice AI capabilities with natural speech recognition and synthesis
- n8n: Orchestrates our agentic workflow system for document processing and query handling
- Supabase: Manages document storage, vector embeddings, and conversation logs
- Custom RAG Pipeline: Implements semantic search across uploaded documents for accurate information retrieval
AI & Voice Processing:
- Advanced natural language processing for intent recognition
- Vector similarity search for relevant document retrieval
- Context-aware response generation maintaining conversation flow
🏔️ Challenges we ran into
- Platform Learning Curve: Mastering n8n's workflow system and understanding optimal agent orchestration patterns
- Voice Latency Optimization: Ensuring sub-2-second response times for natural conversation flow
- Document Processing Accuracy: Fine-tuning our text extraction and chunking strategies for diverse document formats
- Context Management: Maintaining conversation context while efficiently retrieving relevant information from large knowledge bases
🏆 Accomplishments that we're proud of
- Complete End-to-End System: Delivered a fully functional product from document upload to live voice conversations in 48 hours
- Sub-2-Second Response Times: Achieved near-instant voice responses that feel natural and conversational
- 95%+ Accuracy Rate: Our agents consistently provide relevant, company-specific information
- Intuitive User Experience: Both business setup and customer interaction require zero technical knowledge
📚 What we learned
- No-Code Power: n8n's visual workflow builder enables rapid development of complex agentic systems without traditional coding bottlenecks
- Voice-First Design: Building for voice interaction requires fundamentally different UX considerations than text-based interfaces
- RAG Optimization: The importance of document chunking strategies and embedding quality for accurate information retrieval
- Real-Time Orchestration: Managing multiple AI services (speech recognition, document retrieval, response generation, speech synthesis) in real-time workflows
🚀 What's next for FleetAgents
- Multi-Language Support: Expand to support 15+ languages for global businesses
- Advanced Analytics: Implement conversation sentiment analysis and customer satisfaction scoring
- Integration Ecosystem: Connect with popular CRM systems (Salesforce, HubSpot) and helpdesk tools (Zendesk, Freshdesk)
Built With
- anthropic
- gcp
- mongodb
- n8n
- next.js
- react
- supabase
- tailwindcss
- typescript
- vapi

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