AI Chatbot in Banking- Accelerating Customer Engagement

Today, banking customers don’t want to visit a branch and wait longer to talk to a customer representative over the phone. They want a digital experience, and that’s where chatbot in banking come into the picture.

The traditional method of banking customer interaction is time-consuming and frustrating. Chatbots, however, are programmed and trained with natural language processing and machine learning technologies, facilitating effortless communication between customers and banks.

According to a recent study by Forrester, 63% of customers express satisfaction with chatbot service, provided there is an option for human interaction. This blog will explore how AI chatbots are not merely a passing trend but essential for staying competitive in the modern banking landscape.

Existing gaps and shortcomings in Banking Customer Service

1. Non-availability of Customer Support
   Whenever a customer encounters difficulties with loan applications or wants to find a process to check sensitive information, the customer expects a swift resolution. However, the availability of customer support executives cannot be guaranteed 24/7. Delayed issue resolution diminishes the quality of service in customers’ eyes. According to a report, 90% of consumers worldwide consider service ticket resolution their most crucial customer service concern. AI chatbot in banking can offer instant customer support 24/7 and reduce the long hold time for customers.
2. Unstructured Data Management
   Banking and financial services deal with a large volume of data, ranging from loan applications to transactions and deposits. Banking data is unstructured and fragmented, so chatbots in banking can centralize the data and create a repository for faster query resolution.
3. Lack of Personalized Experience
   A recent report stated that 65% of customers had changed to a different brand due to poor customer experience. Limited access to data and no insights from previous customer interactions make the customized experience a far-fetched dream. Chatbots in banking can gain insight from customer interaction and offer relevant product recommendations automatically.
4. No Omnichannel Assistance
   With a growing number of millennials opting for digital banking services, traditional banking modes are less appealing. Customers prefer the convenience of resolving queries and getting service from their choice of platform and place. Chatbots in banking can offer omnichannel support and enable customers to engage with the bank effectively, leading to satisfaction and convenience.

What are Banking Chatbots?

Think of an AI chatbot in banking as your financial assistant fueled by AI technologies like natural language Processing and Machine Learning to understand the intent of customers’ queries and offer a relevant response in real time. If you want to know your account balance, check your credit score, and ask, this AI chatbot will resolve your queries quickly.

And it doesn’t stop here. These chatbots also offer financial advice by gaining data insights from customer interaction. One notable example of a banking chatbot is AutomationEdge’s Cognibot, an AI-driven chatbot that can be integrated into any banking digital platform, including its website and mobile banking app. This banking chatbot assists customers in providing account balances, transaction histories, card activation, checking credit scores, and getting information about products and services.

Chatbot Use Cases in Banking

Chatbots in banking can benefit customers and employees in multiple ways if they know how and where to utilize them. Here are some chatbot use cases in banking-

1. Automated Customer Support
   AI in banking enables customers to offer 24/7 assistance without manual intervention. These conversational chatbots use natural language processing technology to understand customer queries using specific keywords and provide instant responses accordingly. For example, Customers may want to inquire about their account balance or recent transactions. They can use the chatbot interface to retrieve the system’s data promptly and display the relevant information.

2. Lead Generation
   Chatbots in banking can accelerate lead generation for the banking industry. AI chatbots with natural language processing capabilities can analyze user interests and guide them toward relevant products and services by engaging in real-time conversations. These chatbots also capture lead information, contact details and preferences and seamlessly integrate the data into the banking CRM system. This ensures that leads generated through chatbot interactions are effectively tracked, nurtured, and followed up by the sales and marketing team.
3. Notification & Alert Generation
   Paying bills on time helps banking customers maintain a healthy credit score, manage expenses, and avoid lien marking on their accounts. However, some customers forget to transfer money on time, which causes trouble for both them and the banking service desk.
   Here, banking chatbots can send on-time reminders to help them remember to settle their financial obligations. This way, chatbots in banking enable customers to manage their finances better.
4. Account Management
   Account management is a critical aspect of the banking industry. It involves various tasks like fund transfers, bill payments, and account inquiries. An AI chatbot can facilitate seamless account management by enabling customers to initiate fund transfers, pay bills, and update their personal information without manual intervention.
5. Feedback & Surveys
   Who doesn’t want a pat on the back or constructive criticism? AI chatbots in banking can conduct surveys and gather customer feedback to assess their satisfaction levels, identify improvement areas and provide insights on product development. Suppose a customer has just completed a transaction, and the chatbot prompts customers to give feedback on their experience. This allows banks to check customer satisfaction scores and promptly address concerns.
6. Fraud Detection
   Customers are not the only ones who suffer from financial fraud. Banking institutions also bear the burden of fraud. A report stated that up to 5% of corporate revenue is lost yearly to financial fraud. Because of that, banking institutions must incorporate safety measures to keep track of fraud. One such measure is the banking chatbot.
   AI-driven chatbots with machine learning capabilities can analyze customer behavior and transaction patterns to detect and prevent real-time fraudulent activities. For instance, an AI chatbot can alert customers about unusual activity or request additional authentication for high-risk transactions to avoid financial losses.

Benefits of Chatbot in Banking

AI chatbots in banking can transform the customer experience more than just answering common FAQs. This chatbot in banking swiftly addresses customer inquiries, provides information on transactions and account balances, and guides users through various banking processes. There is a long list of perks and benefits, including:

1. Chatbot for 24/7 Support
   When it comes to financial services, questions and concerns can arise anytime. AI chatbots in banking don’t clock out at 5 p.m. These chatbots can work 24/7 and offer instant responses to customer queries. This constant availability increases customer satisfaction scores and boosts bank reputations and accessibility.

2. Personalized Customer Experience
   Through advanced algorithms and data analytics, chatbot in banking deliver personalized interactions tailored to each customer’s preferences, history, and behavior. By understanding individual needs and providing relevant recommendations, chatbots enhance the overall customer experience, fostering stronger relationships and loyalty.
3. Self-Service Assistance
   Before digital banking, most banking queries require a customer service agent. Customers had to waste time in a lengthy queue to speak to someone. AI chatbots in banking can provide self-service assistance without any manual overload. Using rule-based workflows, banking service desk agents can create self-service support for instant resolution for common FAQs, like checking account balances, troubleshooting issues, and information about products and services.
4. Reduce Costs
   When customers can use AI chatbots in banking to complete routine banking services, banks can drastically reduce customer support costs. Research has found that banking chatbots can save $7.3 billion in operational costs.

   By automating routine inquiries and tasks, chatbots free up human agents to focus on more complex issues and high-value interactions for better resource allocation and operational efficiency.

   For instance, AutomationEdge’s client HDFC Bank achieved a 60% reduction in operational costs using AI chatbots.
   

5. Increased Sales
   Chatbot in banking are crucial in accelerating sales revenue. As chatbots can analyze customer behavior and identify their preference, they offer an opportunity for cross-selling and upselling relevant products and services and increasing revenue generation.

How can AutomationEdge Chatbot Help?

AutomationEdge ‘s CogniBot is an AI-driven chatbot accessible in cloud and on-premise environments. It applies machine learning intelligence to interpret user intent from conversational text. With CogniBot, users can create dialogues effortlessly without writing a single line of code. Its advanced features include the ability to develop industry-specific skills with effective disambiguation. CogniBot supports various channels such as Web, Microsoft Teams, Slack, Facebook, Email, and more, making it versatile for different communication needs.

Conclusion

In digital banking, the future promises even greater convenience and personalization, with advancements such as biometric authentication, voice banking, and augmented reality interfaces on the horizon. AI chatbots are poised to become the cornerstone of this evolution, offering seamless customer support, predictive financial insights, and hyper-personalized banking experiences using large language learning models like Generative AI.