Project Type
AI Chatbot
Client
MNC Bank
We built MNC Bank’s always-on support agent that:
✔️ Answers 95% of CC questions – Fees, rewards, policies
✔️ Books meetings instantly – No more back-and-forth
✔️ Never drops calls – Smooth transfers to humans
✔️ Works 24/7 – Even at 2AM for urgent queries
Bank faced customer headaches:
8-10min wait times for simple questions
1-in-5 calls missed after business hours
“Why was I charged this fee?” confusion
Agents stuck scheduling meetings instead of helping
Policy updates lagging behind website info
Bank faced customer headaches:
8-10min wait times for simple questions
1-in-5 calls missed after business hours
“Why was I charged this fee?” confusion
Agents stuck scheduling meetings instead of helping
Policy updates lagging behind website info
Stage | Action | Tech Used |
---|---|---|
1. Greet | Natural voice conversation | Retell AI |
2. Solve | Answer using latest policies | RAG + MNC Bank Data |
3. Escalate | Warm transfer if stuck | Twilio Bridge |
4. Schedule | Book follow-ups instantly | Google Calendar API |
Fed MNC Bank’s entire CC policy docs into RAG system
Trained Retell AI with common queries:
“What’s my cashback rate?”
“How to dispute a charge?”
Connected Twilio to bank’s existing phone system
[Call Start] → [Policy Check] → [Answer or Transfer] → [Calendar Invite if Needed] → [Call Summary Log]
Programmed graceful transfers:
🔹 “Let me connect you with Sarah, our fee expert!”
🔹 Shares call context with agent first
🔹 Sends SMS follow-up if call drops
Simulated 50+ tough scenarios:
Angry customer: “Why was I charged $200?!”
Complex query: “Explain APR vs. daily periodic rate”
Non-English accents
Achieved 95% accuracy benchmark
⏳ 10min calls → 3min resolutions
❌ 20% missed calls → 24/7 coverage
📅 7min scheduling → 10sec auto-booking
😤 Customer frustration → 4.9/5 satisfaction
Saved $58k/month in support costs
Agents handle 3x more complex cases
Became top-rated CC support in regional surveys
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