Today's many technological revolutions are changing the business environment, almost beyond recognition. When it comes to the financial sector, artificial intelligence (AI) is finally addressing some long-pressing compliance issues.
Out of the $35.8 billion projected expenditures on AI across all industries in 2019, banks and other financial institutions are investing $5.6 billion in AI. This sum will go into things such as prevention systems, fraud analysis, investigations, and automated threat intelligence. Alongside retail, manufacturing, and healthcare providers, the banking sector is the top spender in AI.
This investment isn't without merit either, as the McKinsey Global Institute estimates that the financial sector could generate more than $250 billion over the coming years. It will be a result of improved decision making, better risk management, and personalized services. Despite these projections, many financial firms are cautious when it comes to implementing AI. But those that want a competitive advantage need to overcome this instinct and benefit from what artificial intelligence has to offer.
When it comes to lead handling and distribution, most banks employ a "round robin"-type system where every lead officer is assigned an equal number of leads in circular order and without any priority. But NBKC Bank, a midsized financial institution based in Kansas, introduced AI into the process.
They realized that some loan officers performed better in the morning while others in the evenings. To that end, they've implemented a platform that distributes leads based on the officers' peak efficiency times. While a quarter of leads are assigned randomly, the rest are assigned based on this intelligent system. And while it still takes into account individual workloads so that everyone gets an equal number, NBKC Bank managed to improve their loan officers' performance by 65% and their closing rates by 10 to 15%.
Various statistical models have been used to evaluate risk by financial institutions for some time now. The most significant difference today, however, is that the use of such algorithms is much more extensive than it was in the past. Likewise, the amount and type of data available are also much more considerable than in previous years. All of these put together, coupled with the introduction of AI and machine learning (ML) will result in solving many problems.
Fraud analysis is one such example. By using AI, banks and other financial institutions will be able to spot frauds faster by detecting unusual activity in real-time. Similarly, AI can detect and filter out fraudulent or, otherwise, high-risk applications. Agents will, thus, only have to review those that have made it past the system, significantly increasing their overall effectiveness.
Alternatively, AI can use alternative sources of data, allowing banks to offer lending products to new groups of people. In the future, AI is predicted to take on even more complex tasks such as deal organization or Financial contract reviews.
Sumitomo Mitsui Banking Corp (SMBC), a global financial organization, is one institution that's deploying AI for its customer service. It makes use of IBM Watson, a question-answering computer system, that's able to monitor all call center conversations, automatically recognizing questions and providing operators with real-time answers.
The introduction of Watson into the mix, the cost of each call reduced 60 cents, with equates to over $100,000 in annual savings for the bank. The system also managed to increase customer satisfaction by 8.4%.
SMBC also uses IBM Watson for employee-facing interactions, answering questions that staff members may have about internal operations. The AI system is also used to deal with a variety of cybersecurity issues.
Investing in AI should be on every financial institution's priority list going forward. Nevertheless, knowing how to navigate all implementations and compliance issues can prove to be a challenge. With Managed Solution, you can find the application that will best suit your needs. Contact us today for more information.
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