Businesses in all industries are constantly looking to reduce operating costs. One way to do this is through a type of business process automation known as intelligent automation. What intelligent automation does is take repetitive, routine tasks that humans would typically do and apply machine learning technology to the process automation. This allows the intelligent automation solution to learn how to do these tasks even better.
Automation results in less error and in workers having more time to focus on projects and tasks that help grow the business. In the lending industry, intelligent automation shows a great deal of promise of removing constraints, lowering operating costs, and refocusing employees on less repetitive tasks.
The Benefits of Intelligent Automation in the Lending Industry
A study from the McKinsey Institute found that companies experimenting with intelligent automation often found that they were able to not only automate up to 70 percent of the repetitive tasks their employees were handling but also able to see run rate cost efficiencies of 20-35 percent.
Benefits specific to the lending industry are also well documented. In a case study from Decisions, a large banking institution saw a reduced risk when it came to highly regulated processes. Less risk and less error are major milestones when it comes to auditing. Additionally, the bank was able to lower development costs by 50 percent and reassign six people to new projects aimed at growth rather than having them focus on basic, routine tasks.
