From its humble start in the 1950s to the extensive uses now frequently seen across all industries, Artificial Intelligence (AI) has very clearly grown into one of the most innovative and game-changing technologies. It’s becoming increasingly evident that the role of AI, especially within financial services and the digital realm of remittances, has become crucial for providing improved services. Even over the last decade, AI has continued to evolve, reducing and even eliminating manual processes for the financial services sectors.

Machine Learning and Security

Enabled by predictive power, pattern recognition and enhanced communication functionality, AI is proving it has the potential to boost financial services and transform the way these services are delivered to customers. AI could empower Fintech firms to have more informed and bespoke products and services, internal process efficiencies, enhanced cyber-security and reduced risk.

For example, in the payments industry, AI is currently being used for sanctions screening and fraud prevention – a process underpinning money transfer organisations. Until recently, many organisations screened for sanctions by checking data stored in mass databases. Although this technique is routinely used by most financial services firms, in recent years we’ve seen that AI can be applied to this activity as well as other fraud prevention processes. Learning through experience, the AI technology can begin to better understand the backend data in order to search more quickly and efficiently, ultimately resulting in fewer false positive results. 

The Future of AI: Improved End-User Experience

In the next few years, we predict that the financial services industry will certainly begin to see an increased use of AI surrounding security and compliance, as well as other backend processes. However, it is also becoming more evident that money transfer operators (MTOs) could soon be incorporating AI on their frontend applications (mobile apps and online portals) to enhance customer experience.  

For example, we’ve already begun to see instances of machine-learning powered ‘chatbots’ offering 24/7 support and guidance to MTO customers. Using natural language processing, these chatbots – amongst other AI-driven voice-based services – will be able to understand queries and provide solutions, enhancing the overall end-user experience. 

In addition to this, a less obvious area for AI use we could be seeing in the near future is for managing the rates and fees charged to remittance customers or end-users. By applying machine learning, MTOs could begin to make predictions based on a variety of factors (including existing data, patterns and even seasonal changes) in order to help customers set their rates and charges more effectively. 

Where Will AI Go Now?

It’s clear to see that AI and machine learning are beginning to drive a wide range of processes, both within the digital remittance realm and beyond. The outcome of this increase in automation is the opportunity for many companies to work more precisely and efficiently than ever before.  

As a result, we can confidently predict that the financial services industry will be seeing a lot more of AI driven technologies. But what would you like to see from the remittance industry going forward?  

If you’d like more information about the power of AI within Fintech or would like to engage in a discussion about the future of machine learning, please get in touch at marketing@remitone.com