Built and deployed production AI Chat, Call, and SMS Agents across four US-market platforms for lead qualification, inventory collection, customer information management, booking workflows, and human-agent handoff.
The platforms needed scalable AI-driven customer interactions across chat, voice, and SMS without relying entirely on manual agents. The system needed to qualify leads, collect and update moving inventory, capture customer information, support booking workflows, and transfer conversations to human agents when required.
Designed and deployed production AI agents across four US-market platforms. The chat agent uses LangGraph-based orchestration, RAG, OpenAI/Gemini models, tool calling, and structured workflows. Built inbound and outbound voice agents using Plivo for lead qualification, inventory collection, and human transfer. Implemented SMS agents with LLM-based intent detection, slot filling, and dynamic responses. Integrated the agents with backend services and production workflows.
Deployed AI Chat, Call, and SMS agents across four production platforms, enabling automated lead qualification, inventory collection, customer information management, booking workflows, and human-agent handoff. The deployment expanded AI coverage across multiple customer interaction channels while integrating directly with existing production workflows.
Production AI agents were deployed across four US-market platforms, covering three customer interaction channels: chat, voice, and SMS. The system automated lead qualification, inventory collection, customer information workflows, booking-related workflows, and human-agent handoff.