Project Overview
We developed an intelligent chatbot with advanced NLP capabilities for a financial services company, automating 70% of routine customer inquiries while maintaining compliance with financial industry regulations.
The client's customer service team handled over 5,000 inquiries daily, with 70% being repetitive questions about account balances, transaction history, loan status, and card services. Wait times averaged 15 minutes, leading to customer dissatisfaction. Our team built a multi-layered AI solution: a custom NLU (Natural Language Understanding) model trained on the client's historical support data, integrated with their core banking system via secure APIs for real-time account lookups. The chatbot supports Bahasa Indonesia and English, handles complex multi-turn conversations, and seamlessly escalates to human agents with full context transfer when confidence is low. We implemented strict guardrails to prevent the bot from making financial commitments or exposing sensitive data.
Challenges
Building NLU models that accurately understand financial terminology, colloquial Bahasa Indonesia, and context-dependent queries.
Ensuring compliance with OJK regulations on customer data handling and automated financial advice.
Maintaining seamless handoff to human agents with full conversation context when the bot cannot resolve an issue.
Solutions
Developed a custom NLU pipeline with transfer learning, trained on 100K+ historical conversations with intent classification and entity extraction for financial domains.
Implemented PII detection and masking, audit logging for every conversation, and configurable guardrails preventing financial commitments.
Built a smart escalation system that transfers full conversation history, detected intent, and customer profile to human agents via the existing CRM.
Transformed Customer Experience
Average response time dropped from 15 minutes to under 10 seconds. Customer satisfaction scores improved by 25%. The support team was redeployed to handle complex cases, improving first-call resolution for high-value issues by 40%.
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