Jun 25, 2024

AI Banking: A New Perspective to Legacy Systems

32% Banks used AI in 2020 and this number has now increased to 57% in 2023, all thanks to practical importance of these LLM based Conversational AI

AI and Banks, Financial Institutions, Bank, Money, AI, Erica
TL;DR Summary
Why is AI important in the banking sector? The shift from traditional in-person banking to online and mobile platforms has increased customer demand for instant, personalized service.
AI Virtual Assistants in Focus: Banks are investing in AI-driven virtual assistants to create hyper-personalised, real-time solutions that improve customer experiences.
What is the top challenge of using AI in banking? Inefficiencies like higher Average Handling Time (AHT), lack of real-time data, and limited personalization hinder existing customer service strategies.
Limits of Traditional Automation: Automated systems need more nuanced queries, making them less effective for high-value customers with complex needs.
What are the benefits of AI chatbots in Banking? AI virtual assistants enhance efficiency, reduce operational costs, and empower CSRs by handling repetitive tasks and offering personalized interactions
Future Outlook of AI-enabled Virtual Assistants: AI will transform the role of CSRs into more strategic, relationship-focused positions while continuing to elevate the customer experience in banking.
Why is AI important in the banking sector?The shift from traditional in-person banking to online and mobile platforms has increased customer demand for instant, personalized service.
AI Virtual Assistants in Focus:Banks are investing in AI-driven virtual assistants to create hyper-personalised, real-time solutions that improve customer experiences.
What is the top challenge of using AI in banking?Inefficiencies like higher Average Handling Time (AHT), lack of real-time data, and limited personalization hinder existing customer service strategies.
Limits of Traditional Automation:Automated systems need more nuanced queries, making them less effective for high-value customers with complex needs.
What are the benefits of AI chatbots in Banking?AI virtual assistants enhance efficiency, reduce operational costs, and empower CSRs by handling repetitive tasks and offering personalized interactions.
Future Outlook of AI-enabled Virtual Assistants:AI will transform the role of CSRs into more strategic, relationship-focused positions while continuing to elevate the customer experience in banking.
TL;DR

In this digital age, the banking sector is undergoing a significant transformation and one of the key drivers of this change is the adoption of artificial intelligence (AI), particularly Language Learning Models (LLMs), in the form of chatbots. These AI-powered chatbots are revolutionizing the way banks interact with their customers, providing a more efficient, personalized, and user-friendly service.

What are LLM-based AI Chatbots?

LLM AI-based chatbots are advanced conversational agents that use machine learning and natural language processing to understand and respond to human language. They can handle complex conversations, understand context, and provide accurate responses, making them ideal for customer service applications in the banking sector.

LLM-Based Chatbots vs Traditional Chatbots

Chatbots are already a common feature in many banks, providing 24/7 customer service, answering queries, and even performing transactions. They offer numerous benefits, including reduced operational costs, increased customer satisfaction, and improved efficiency. Now the important question is do LLM base chatbots really have a difference? Let's find out

Traditional chatbots typically rely on pre-programmed responses and lack the ability to understand context, which can lead to inaccurate responses and a poor user experience. On the other hand, LLM-based chatbots use machine learning and natural language processing to understand and respond to human language. For example, a traditional chatbot only answers correctly if the customer says “What’s my account balance” and that's a major problem being solved by LLM-based chatbots. Unlike them, they understand human language instead of just phrases. So when a customer says “Tell my balance” or “Please tell my balance”, all of the queries work and give the same answer.

The Impact of Chatbots in Banking: By the Numbers

Here are some statistics that highlight the impact of AI chatbots in banking:

  1. Increased Lead Generation: Banks have reported six times more leads collected using chatbots compared to traditional lead generation.
  2. Cost Savings: By 2023, banks are expected to save $7.3 billion in operational costs due to the use of chatbots.
  3. Improved Loan Accessibility: Artificial intelligence expands loan accessibility, approving 27% more loan applicants and yielding 16% lower interest rates.
  4. Rapid Adoption: In 2021, The Fintech Times reported that the percentage of midsize banks and credit unions using chatbots tripled in a single year, leaping from only 4% to 13%.
  5. Customer Satisfaction: HDFC’s Electronic Virtual Assistant (EVA) has responded to more than 5 million inquiries with at least 85% accuracy.

These figures demonstrate the significant benefits that AI chatbots bring to the banking sector, including cost savings, increased efficiency, and improved customer service. As AI technology continues to evolve, we can expect these benefits to grow even further.


Case Studies: LLM based Conversational Agents in Action

Several banks have successfully implemented chatbots and are reaping the benefits. For example:

  • Bank of America’s chatbot, Erica, has over 10 million users and has handled more than 100 million client requests. Erica helps customers with tasks like checking balances, scheduling payments, and providing credit report updates.
  • Wells Fargo’s chatbot, which is integrated with Facebook Messenger, allows customers to check their balance, request their transaction history, and locate ATMs. The chatbot uses AI to understand natural language, making it easy for customers to interact with it.

The Future Outlook

The future of LLM AI chatbots in banking looks promising, with continuous advancements in AI technologies. As these chatbots become more sophisticated, they will likely take on more complex roles in banking, further enhancing operational efficiency, customer service, and risk management.

Conclusion

LLM AI-based chatbots are transforming the banking industry by enhancing customer service, reducing operational costs, personalizing services, and improving risk management. While challenges exist, the potential benefits make these chatbots an invaluable asset in the banking sector's ongoing digital transformation.

At Fluid AI, we stand at the forefront of this AI revolution, helping organizations kickstart their AI journey giving utmost importance to security. If you’re seeking a solution for your organization, look no further. We’re committed to making your organization future-ready, just like we’ve done for many others.

Take the first step towards this exciting journey by booking a free demo call with us today. Let’s explore the possibilities together and unlock the full potential of AI for your organization. Remember, the future belongs to those who prepare for it today.

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