Building a Productized AI Chatbot for Credit Card Business

Author(s): Shenggang Li

Originally published on Towards AI.

Streamlined Integration of Mixed Tech in AI Chatbot
Photo by Chris Appano on Unsplash

Imagine you’re a customer with an urgent question about your credit card. You call customer support, but the wait time is long, and the process is frustrating. This is where our AI chatbot comes in, transforming how customer support is handled in the credit card business.

When building a smarter, faster, and more secure customer support system, I realized the need for a chatbot that isn’t just a novelty but a practical, production-ready tool. This chatbot uses AI technologies to ensure it’s efficient, secure, and easy to deploy.

I used Azure OpenAI to create the chatbot because it’s the best tool for understanding and responding to customer questions. However, keeping customer information safe is also important. To do this, I added Amazon Comprehend Moderation to protect personal data.

To make the chatbot more practical, I added a PostgreSQL database for specific data queries in the credit card business.

Deploying this chatbot is straightforward thanks to Docker containers, making it easy to scale and manage. Using tools like ChainLit and ConversationBufferWindowMemory, the chatbot can maintain a conversational history. This provides an excellent and personalized customer experience.

In this post, I want to show how these technologies combine to create a powerful… Read the full blog for free on Medium.

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Published via Towards AI