How is AI Being Used in the African Fintech Industry?
Artificial Intelligence (AI) is being used all over the world across industries to improve business processes and innovate new products.
This is a follow up from our previous post on how Africa is developing into a virtual and cashless economy. This article will expand on how AI is being applied in the African Fintech industry in order to cut costs, grow customer loyalty and enhance cybersecurity.
There are a number of companies using AI all over the continent, but here is just a short summary that gives insight into the benefits of using this kind of technology in the financial services sector:
Some of the main applications of AI in the financial services sector are:
In a recent presentation by local AI expert Dr Jacques Ludick, one prominent use case of AI is in the local insurance sector. Churn is a massive problem, which essentially is when, customers sign up online to use a product but stop using it within 90 days.
With AI, businesses like these can avoid churn by being able to evaluate their customer data in a way that gives them insight into how to upsell and cross-sell products. They can also use it to predict if and when a customer is not going to make full use of the product.
Some other examples of using AI to cut costs include:
The concept of customer success can be applied in a variety of applications with AI, as it provides a way of using consumer behavioural data to inform automated engagement, for example with the use of chatbots.
With an automated virtual assistant/chatbot, customers can interact with a company at any time, and queries can be dealt with in a more constructive way, which includes alerting customers to deals that would be appropriate for them, and easily resolving standard issues like claim procedures.
Some local and African examples are:
Cybersecurity is a major threat to every business, but when it comes to your finances, security is absolutely critical, which is why AI is being used to more effectively manage threats by identifying and responding to these in a quicker and more efficient way.
Some specific applications of AI in the Fintech space include being able to secure customer identities, through facial recognition, and developing ways to better detect money laundering through pattern detection.
Some other examples include:
By just looking at the handful of examples above, it’s clear that the use of AI is growing, and it’s exciting to think of how many more similar applications are out there, working to improve financial services in the future.
While the thought of intelligence outside of the human brain might still be a scary concept to some, it’s important to keep talking about how incredible the scope for these kinds of applications is, and how they can be used to move past so many of the limitations we’ve had with accessing finance and processing data in the past.