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I will develop an outbound ai voice agent for debt collection and payments
Swift S
About this gig
Debt collection is a high-friction, labor-intensive process where consistency is key. I build autonomous outbound AI voice agents specifically for the financial services industry to automate recovery workflows. These agents conduct natural, interactive conversations that present repayment choices and handle common objections at scale.
Using near zero latency voice technology (Vapi/Retell), I implement systems that detect verbal "promises to pay" and instantly log the outcomes into your CRM (HubSpot, Salesforce, or Zoho) via API. The AI behaves like a professional collector it can analyze pitch and tone to respond with empathy, or route complex refusals to a human team member through automated escalation triggers.
Key features include automated dialers with dynamic scripting, webhook integration for payment confirmations, and a centralized dashboard for real time recovery analytics. By digitizing the collection lifecycle, you eliminate the "paperwork bottleneck" of manual logging and ensure 100% lead coverage.
I deliver a production ready, audit compliant asset that increases your recovery rates while significantly reducing administrative overhead.
Get to know Swift S
Swift S
AI Systems Engineer and Full Stack Architect
- FromBrazil
- Member sinceOct 2024
- Avg. response time6 hours
Languages
English, German, Spanish, French
Scale your enterprise with intelligent, data driven architecture. I specialize in the development of custom AI solutions, utilizing Python, TensorFlow, and PyTorch to build high accuracy machine learning models and NLP applications. By pairing these with scalable Laravel or Django frameworks, I ensure that your AI infrastructure is both powerful and production ready. I focus on creating robust systems that streamline operations and provide a distinct technical advantage through engineering excellence.
My Portfolio
FAQ
How does the agent detect and record a "promise to pay"?
The system uses conversation intelligence (Claude/GPT-4o) to identify specific verbal commitments regarding payment amounts and dates. These details are extracted as structured data and instantly synced to your CRM, allowing you to track follow ups and recovery rates without manual data entry.
Is the AI tone appropriate for sensitive financial conversations?
Yes. As supported by the "Polite Debt Collection" research, the agent uses emotional intelligence (EQ) to analyze the caller's pitch and frustration. It can automatically soften its voice or apologize for delays, ensuring the interaction remains professional and compliant with your brand standards.
What happens if the customer requires a human agent during the call?
I implement "warm transfer" logic and escalation triggers. If the AI confidence level drops or a specific objection is raised that requires a human touch, the agent can automatically route the call to your team while providing a live transcript so the collector has full context.
