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AI-Powered Credit Recovery Voice Agent (Automated Collections System)
Developed an AI-driven voice automation system to streamline and scale credit recovery operations through intelligent, human-like calling agents.
Problem: Manual debt collection processes were time-consuming, inconsistent, and difficult to scale. Agents had to make repetitive calls, track responses manually, and follow up inefficiently leading to low recovery rates and high operational costs.
Solution: Built an AI-powered voice agent that automates outbound and inbound collection calls, interacts naturally with customers, and handles follow-ups—while logging all interactions in real time.
Key Features:
AI voice agent for automated outbound collection calls
Human-like conversations with dynamic responses
Smart payment reminders and follow-up scheduling
Intent detection (promise to pay, dispute, no response, etc.)
Real-time call transcription and logging
Integration with CRM / database for tracking recovery status
Automated escalation for high-priority cases
Tech Stack: Voice AI APIs (VAPI), OpenAI, n8N ,Google Sheets.
Results:
Increased call coverage without hiring additional agents
Reduced manual calling workload by 70–80%
Improved recovery rates through consistent follow-ups
Real-time visibility into collection performance
Scalable system handling thousands of calls daily
Impact: Transformed traditional debt collection into a scalable, AI-powered voice system reducing operational costs while improving recovery efficiency and customer engagement.

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