Artificial intelligence (AI) has a great deal of potential when it comes to not only enhancing operations and improving efficiency but also introducing brand-new services and methods for doing things.
One major area in which AI has already made a significant impact is in corporate finances and general financial services. By integrating AI-powered software and programmes, companies can enhance digital safety and security, personalise a lot of services and automate a great deal more, meaning that operations are more effective and efficient, and businesses are able to save money and time too.
Concerns Surrounding the Use of AI in Financial Services
Naturally, many people have some concerns about using AI with anything to do with finances – and for good reason. It’s always a good idea to be cautious and have a healthy amount of trepidation when it comes to anything to do with money.
Indeed, this is especially true in the context of AI in financial services because not only is it about dealing with money, but there’s already a fair amount of scepticism and concern over how AI works and whether it can be trusted. As with anything we don’t completely understand, it’s understandable that people working in the financial sector aren’t 100% ready to dive right into having AI take control.
These concerns are healthy and having worries about potential challenges of a new type of technology is not only natural but tends to contribute to the building of safe spaces. Having said that, the ways in which AI is benefiting financial services still seems to outweigh the potential negatives.
Ways In Which AI Is Enhancing Corporate Financial Services
From automating tedious, time-consuming tasks to creating entirely new services, here are some of the most significant ways in which AI is enhancing corporate financial services.
Enhanced Security
AI software has completely changed the game in terms of fraud detection by providing a method for analysing big data in real-time. While humans can analyse data manually, it’s incredibly time-consuming and dealing with large data sets can be next to impossible to process.
AI is able to identify unusual transaction patterns and even predict fraudulent activities, allowing financial institutions to stay one step ahead of fraudsters. This can help mitigate the threat of cyberattacks and protect sensitive financial data.
Personalised Banking
With AI tech, financial institutions can offer businesses personalised services that are based on customer behaviour, transaction histories and financial goals. It’s also becoming increasingly common for financial institutions to make use of chatbots to provide customers with real-time advice and insights.
Risk Management
One service that AI is particularly good at is providing risk assessment. It does so by analysing a wide range of data sources, from credit histories to market conditions. AI is able to predict things like market volatility, credit risks and a range of other financial threats in ways that humans simply can’t do in a timely manner, helping institutions manage risk way more effectively than ever before.
Algorithmic Trading
An increasing number of financial institutions are starting to use AI-driven trading algorithms to analyse market data, predict trends and ultimately, execute trades quickly and efficiently. These systems make it possible to process large volumes of data way more efficiently than humans have the ability to do, resulting in better decision-making.
Automated Customer Services
AI-powered chatbots are transforming customer service by automating routine inquiries and providing 24/7 assistance. These bots handle tasks like checking balances, processing payments, or answering account-related questions, freeing up human staff for more complex tasks.
Part of having AI contribute to customer services is using it to analyse customer data and behaviour in order to understand spending patterns, financial habits and customer preferences. This not only helps customer service reps (both bots and real humans) to provide targetted offers but also design better products and predict the future needs of customers.
Monitoring Regulatory Compliance
Regulatory compliance is not only important but it can also be difficult to keep up with, so having AI to take care of it for you can be a huge help.
This may come in the form of automating compliance checks, monitoring transactions for regulatory violations and analysing large volumes of data. Overall, this can reduce the complexity of monitoring compliance and also make it cheaper to keep in touch with evolving regulations.
Automated Loan Processing
Loan processing is complicated and tedious, but now, AI can help automate the process by automating underwriting and credit scoring. Traditional credit scoring systems normally rely heavily on historical data. However, AI models are able to analyse a broader range of variables including real-time financial behaviour and alternative data points.
Using Predictive Analytics for Market Trends
Predictive analytics has already been super beneficial in several different markets and industries, and now, it allows financial institutions to forecast market trends, identify potential opportunities for investment and make data-driven decisions.
In fact, AI models can predict stock price movements, changes in market sentiment and fluctuations in currency – all by analysing historical and real-time data.
