By Kelvin Mkwawa, Seasoned Banker. |
Additionally, I shared that with money laundering continuing to be a persistent problem for banks, AI can assist banks to combat this threat through advanced data analytics systems to save the banks from being fined more frequently due to inadequacies in their anti-money laundering infrastructures. This week is a continuation of last week’s article. In this article,I will share a few more examples of how AI can impact the banking industry.
- Enhances Customer Service Experience – Customer experience is one of the areas that can be enhanced through AI as quick support can be easily provided to the customer along with tailored banking products according to his/her needs. Based on past dealings and data (detailed customer’s demographics and records of online and offline transactions), AI can develop a better understanding of customers and their behaviour. This enables banks to customize financial products and services by adding personalized features and intuitive interactions to deliver meaningful customer engagement and build strong relationships with their customers. One form of AI that helps banks tremendously is Chatbots. Chatbots are automated service assistants that provide customers with the convenience of resolving their queries via an online messaging system instead of having to visit a branch. Chatbots offer efficient, systematic and accurate conversations which lead to a great customer service experience. In addition, as technology evolves, AI has been able to offer voice bots as well to solve customer’s issues without human intervention.
- Enhances Mobile Banking Apps – To meet today’s customer expectations, most of the banks are shifting more into offering digital services and products which have resulted into millions and millions of transactions being done online irrespective of time and place worldwide. AI can be integrated into the bank’s mobile apps to improve customer service. How? After gathering the customer’s data from the mobile device, the AI system incorporated in mobile apps processes the data to understand the customer’s behaviour to provide the relevant information – services and offers in line with the customer’s needs. Also, the mobile app with AI will assist the customers when it comes to personalized planning. For example, if a customer wants to buy a new house, the mobile app can guide the customer with budget and other related details to help the customer achieve that goal.
Written by Kelvin Mkwawa, MBA
Seasoned Banker
Email address: Kelvin.e.mkwawa@gmail.com
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