How Artificial Intelligence Helps In The Finance Industry?


Since the dawn of time, automation has been at the forefront of efficiency methods. With aging legacy technology and prejudice-prone human workforces, the banking sector has a reputation for lengthy vital operations. When automated processes are based on trustworthy data and industry knowledge, they may minimize administrative risks and shorten the time it takes to address an issue.

The financial services industry has reaped the benefits of automation in spades. To provide the finest services, the financial industry must keep up with the rapid rate of change in the economy. From insurance companies to huge banks, automation has found a place as a breakthrough technology.

How Workflow Automation Helps Financial Institutions?

New Investors are being ushered into the market thanks to intelligent automation. Intelligence automation is predicted to increase the financial services industry’s revenue by $512 billion. Robotic process automation was already saving companies between 10% and 25%. However, the shift from RPA to intelligent automation is also bringing in new revenue sources.

Workflow automation is upsetting fintech and igniting progress in the investment sector — and not just on Wall Street. The use of artificial intelligence to speed up market analysis has been around for a long time. Automated investment and Robo-advice services are now available to the average Joe.

1. Time Saving And Less Mistakes

By automating time-consuming and error-prone manual operations, workflow automation is revolutionizing the banking industry. Trade across borders has always been a logistical nightmare that leaves a trail of paperwork in its wake.

Manual processing and updating of these documents result in considerable inefficiencies. Human stock inspections are prone to mistakes in the banking industry due to the high standards of regulatory compliance.

2. The Underwriting Process Is Being Automated by Machine Learning

Even though the majority of loan underwriting has been automated in recent years, there is still a large amount of manual work involved. For example, traditionally, underwriting mortgage loans has been the responsibility of individuals.

Problems arise when humans are subject to bias and lack comprehensive knowledge. Customer information like their FICO score and debt-to-income ratio is still used by organizations that use automated underwriting. These criteria aren’t good indicators of a borrower’s ability to pay back a loan.

3. 24/7 Live Support 

During the pandemic that struck in 2019, bank drive-thrus were often clogged with long lines. Branch offices scrambled to meet customer demands even as they complied with corporate rules restricting the number of tellers and closing lobbies. A surprising amount of dependency on digital services, such as virtual assistants, was created by customers who had never used mobile banking before.

Chatbots and virtual assistants are evolving along with developments in natural language processing. Many ordinary banking tasks may be handled by these assistants outside of typical office hours. Providing round-the-clock customer support has been demonstrated to be a secure, low-cost technique.

Improved Organization and Integration in the Cloud is Now Possible Thanks to IPaaS Technologies

Fintech is typically depicted as being at the forefront of technological advancement. Despite this, many established businesses have lagged behind their counterparts in the cloud migration race. Concerns about data security and regulations are to blame for this trend. It is illegal to outsource data protection to a third-party service provider in several countries.

It is not that the majority of banks are not using the cloud; rather, they lack the most efficient cloud strategy. It’s hard to imagine anyone being able to resist the allure of lower cloud storage rates in the future. AI-based fraud detection systems will need an increase in cloud utilization as more institutions deploy these technologies.


Almost every business will be impacted by process automation, but finance will be the most profoundly affected. A growing number of startups and small, nimble businesses are pressuring banking institutions to try out automation.

Business organizations can decrease expenses, improve security and give their customers the low-cost, individualized services they desire because of automation. All transactions have been impacted by automation, which has now become a necessary tool in the financial industry.

Bobby Clark