An AI agent that recovers payments through intelligent, polite, and compliant conversations—while protecting customer relationships.
👉 Real goal:
- Maximize recovery rate
- Minimize harassment risk
- Reduce human calling cost
- Maintain brand reputation
⚙️ END-TO-END FLOW
1) 📥 Data Intake (From lender/CRM)
- Customer name, phone
- Outstanding amount
- Due date / DPD (days past due)
- Product (loan, credit card, BNPL)
- Previous interactions (notes, promises, disputes)
👉 System creates a case profile per customer
2) 📞 Smart Calling Strategy (Not random dialing)
- Call windows (respect local laws & time)
- Frequency control (avoid spam/harassment)
- Priority by risk score (who to call first)
👉 Example:
- 1–7 days overdue → gentle reminder
- 8–30 days → structured negotiation
- 30+ days → escalation workflow
3) 🗣️ AI Conversation (Core Engine)
Opening (polite + compliant)
- “Hello, am I speaking with Raj? This is regarding your pending payment. Is this a good time?”
Adaptive paths:
- Willing to pay → offer options
- Financial difficulty → negotiate plan
- Angry → de-escalate
- Dispute → log and route
👉 Tone is respectful, non-threatening, compliant
4) 🧠 Intelligence Layer
🔥 1. Recovery Probability Score
- likelihood of payment (0–100)
🔥 2. Intent Detection
- Ready to pay
- Needs time
- Cannot pay
- Dispute
- Avoiding
🔥 3. Emotion Detection
- calm / stressed / angry / frustrated
🔥 4. Promise-to-Pay (PTP) Tracking
- date committed
- amount committed
- confidence level
5) 💳 Action Engine
Based on call outcome:
- Send payment link (UPI, Razorpay, etc.)
- Schedule callback
- Assign to human agent
- Escalate case
- Send WhatsApp reminder
6) 📊 Dashboard
Show:
- total recoveries (₹)
- recovery rate %
- PTP success rate
- agent performance (AI vs human)
- bucket-wise performance (0–30, 30–60, etc.)
👉 This is what decision-makers care about
🧩 CORE MODULES
1. 📞 Telephony Layer
- Exotel / Twilio (India compliance friendly)
- Call recording + masking
2. 🗣️ Voice AI Stack
- STT (speech → text)
- LLM (conversation brain)
- TTS (natural voice)
👉 Must sound:
- calm
- respectful
- not robotic
3. 🧠 Conversation Brain (Critical)
Prompt design includes:
- compliance rules (no threats, no abuse)
- negotiation strategy
- empathy-first tone
4. 📊 Intelligence Engine
- scoring models
- sentiment analysis
- PTP extraction
5. 🔗 Integration Layer
- Loan management system (LMS)
- CRM
- Payment gateways (UPI, Razorpay, Paytm)
6. 📈 Analytics + Dashboard
- recovery trends
- customer segmentation
- AI vs human comparison
🔥 DIFFERENTIATION
🔥 1. “Polite Recovery AI” (Huge Gap)
Most agents are aggressive → bad UX
👉 You build:
- empathy-driven AI
- relationship-first approach
🔥 2. Multilingual India Engine 🇮🇳
- English + Hindi + Hinglish
- later regional languages
🔥 3. Dynamic Negotiation Engine
AI can:
- offer partial payment
- split payment plans
- suggest due dates
🔥 4. Legal Compliance Layer
- call time restrictions
- no harassment
- audit logs
- script control
👉 This is a must for enterprise sales
🔥 5. PTP Intelligence System
Track:
- who promises vs who pays
→ build predictive model
🔥 6. Smart Retry Logic
- best time to call each user
- avoid repeated failures
🎯 TARGET CUSTOMERS
Start with:
- NBFCs
- fintech apps (loan apps)
- credit card companies
- BNPL platforms
- utility companies (electricity, telecom)
💰 BUSINESS MODEL
- Per call/minute
- % of recovery (premium)
- SaaS (monthly + usage)
👉 Enterprise deals = BIG money
⚠️ CRITICAL RISKS
Don’t ignore this:
- Legal compliance (RBI, privacy)
- Harassment complaints
- Data security
👉 If done wrong → product fails
👉 If done right → huge moat
🧪 MVP
Must have:
- calling + basic conversation
- payment link sending
- simple dashboard
- PTP tracking
Don’t overbuild compliance engine initially—add gradually
🧠 ADVANCED FEATURES
- voice emotion detection
- predictive recovery model
- AI negotiation strategies
- WhatsApp bot integration
- multilingual expansion