Case study
Bank Service Financial Document Chatbot
Bank Service Financial Document Chatbot is an AI-powered RAG (Retrieval-Augmented Generation) assistant designed to provide instant, accurate banking support in Bengali and English…
Introduction
Bank Service Financial Document Chatbot is an AI-powered RAG (Retrieval-Augmented Generation) assistant designed to provide instant, accurate banking support in Bengali and English via voice and text. It improves customer experience, reduces operational costs, and transforms customer service from a cost center to a competitive advantage.
The problem
- Long customer wait times (15–20 minutes) - High rate of in-person requirements (67% of queries require branch visits) - Limited service availability (9 AM – 5 PM only) - Language accessibility issues (Bengali-preferred customers receive English-only support) - Complex and lengthy banking documentation
- High per-call support costs (150–300 BDT) - Agent overload from repetitive queries (80%) - Inconsistent information provided by different agents - Scattered document accessibility across multiple PDFs - Inability to scale during peak call volumes
- Low Customer Satisfaction (CSAT score: 62%) - High operational costs (15–20% of revenue) - Lost business opportunities due to poor customer experience
What we deployed
- 24/7 automated support, never missing a customer query - Bilingual support: Bengali and English - Voice & text interaction with natural conversation - Instant, accurate answers retrieved from official bank documents - Multi-bank support (Al-Arafah, City Bank, Eastern Bank, NCC Bank, etc.) - Easy integration with web, mobile, WhatsApp, SMS, IVR, and core banking systems
What changed
- 70% reduction in call center volume - 150–300 BDT saved per automated query - Annual savings: 50 lakh – 2 crore BDT for mid-size banks - 3x increase in agent productivity - Instant response with 0 wait time - 24/7 availability - 92% first-contact resolution - CSAT improvement: 62% → 89% - NPS increase: +28 points - Handle 10,000+ queries/day with 95% accuracy - 40% reduction in branch visits - Average 3-second response time - ROI of 50% within the first year
Commercial model
- Starter Package: ৳3,50,000/year (up to 50,000 queries, bilingual support, web widget + mobile SDK) - Professional Package: ৳10,00,000/year (up to 200,000 queries, all channels, core banking integration, priority support) - Enterprise Package: Custom pricing (unlimited queries, multi-branch deployment, advanced analytics, SLA 99.9%, dedicated account manager, 24/7 support) - Additional profit avenues: custom development, implementation fees, white-label licensing, partnership/revenue sharing with fintech and IT providers
Market differentiation
- RAG-powered intelligence providing accurate document-based responses - Bilingual Bengali + English support for local users - Voice and text interaction with code-switching for Banglish queries - Multi-bank knowledge base, easily expandable - Seamless integration with core banking systems and third-party platforms - Localized for Bangladesh with in-country support
Where it is used today
- Retail banking customer service - Islamic banking queries (Shariah compliance) - Credit card support - Loan inquiries and EMI calculations - Account opening guidance - Remittance and transaction support
What comes next
- Expand to more Bangladeshi banks by uploading additional documents - Enhance AI with continuous learning from customer interactions - Add advanced analytics & insights dashboards - Extend voice AI capabilities and multi-channel integration - Implement specialized modules for microfinance and non-bank financial institutions
Market strategy
- Scale to additional banks across Bangladesh - Expand SaaS model with subscription packages - Partner with fintech companies, banking software providers, and IT integrators - White-label and reseller opportunities - Introduce specialized modules (financial guidance, microfinance, automated KYC)
Conclusion
- Transforms traditional customer service into proactive, AI-driven support - Reduces operational costs, improves efficiency, and enhances customer satisfaction - Provides measurable ROI while enabling banks to scale service without additional manpower
About Bank Service Financial Document Chatbot
Yes, works with CBS, CRM, IVR, web, mobile, WhatsApp, SMS channels
Yes, fully bilingual with Bengali as first-class language
Yes, supports voice recognition and text-to-speech
Not applicable for this chatbot; focus is on document and query handling
Balance inquiries, transaction history, loan info, product details, process guidance, document requests
Yes, setup can be completed in 4–10 weeks with optional testing and phased launch
contact@nxtvis.com
More work
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