Help Needed: Steps to Create a Banking Bot with Azure

Banking Bot
• Industry: FSI (Financial Services & Insurance)
• Problem Statement: Banks need to provide efficient and personalized customer support
while reducing the workload on human agents.
• Solution Overview: An AI-powered chatbot that handles a wide range of customer banking
inquiries, including account information, investment advice, transaction assistance, and
24/7 customer support.
• Technical Details:
o Azure OpenAI Service: Utilize GPT-4 to understand customer queries, provide
personalized responses, and engage in natural-sounding conversations.
O Azure Bot Service: Develop and deploy the chatbot on various channels (e.g.,
Website, mobile app, social media).
O Azure Cognitive Services (Language Understanding): Train a language model to
understand customer intents and extract key information from their requests.
O Banking System APIs: Integrate with banking systems to access customer data,
transaction history, and account information.
• Potential Benefits:
o Improved Customer Satisfaction: Provide customers with instant and personalized
support, 24/7.
O Reduced Support Costs: Automate responses to common inquiries, freeing up
human agents to handle more complex issues.
O Increased Efficiency: Streamline customer service operations and reduce wait
times for customers.
O Enhanced Customer Engagement: Provide a more engaging and interactive
customer service experience.
• Challenges and Considerations:
o Data Security: Protect sensitive customer data and ensure compliance with data
privacy regulations.
O Ensuring Accurate Financial Advice: Provide accurate and compliant financial
advice based on customer profiles and risk tolerance.
O Handling Complex Customer Requests: Develop the chatbot to handle a wide range
of customer requests, including those that require human intervention.
• Success Metrics:
o Customer Satisfaction with the Chatbot: Measure customer satisfaction with the
chatbot's performance and helpfulness.
O Number of Successful Transactions Handled by the Chatbot: Track the number of
transactions (e.g., Balance inquiries, transfers) completed through the chatbot.
O Reduction in Customer Support Call Volume: Monitor the reduction in customer
support calls handled by human agents.
• Example Scenario: A customer uses the chatbot to inquire about their account balance,
transfer funds between accounts, and receive personalized investment advice based on
their risk tolerance and financial goals. explain in 3 lines