AI Calling Agent
Overview
The Challenge
Customer support teams often face burnout and inefficiencies from handling repetitive Tier-1 inquiries. The client needed an intelligent, scalable voice agent that could engage in human-like phone conversations, resolve routine queries, and sync with backend systems in real time. We developed an AI-powered calling agent capable of handling inbound and outbound support calls autonomously. Using Whisper for voice-to-text and ElevenLabs for natural-sounding speech, the agent engages users with dynamic GPT-4 responses, remembers context, and performs real-time actions (like scheduling, ticket updates, or CRM syncs) via API integrations. The agent functions around the clock, delivering reliable, natural, and fast responses that cut down wait times and reduce the load on human teams.
Our Approach
How We Did It
Engineered
Set up real-time call flows, memory handling, and voice pipelines.
Integrated
Connected CRMs and APIs for booking, ticketing, and status updates.
Deployed
Launched a Dockerized FastAPI service with scalable ECS infrastructure.
Impact
The Results
The AI agent handled customer queries in under 90 seconds on average and operated 24/7 without downtime. It reduced support workload by over 60%, cut queue times, and offered a consistent, human-like experience to callers.
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