Mortgage Bank

RPA Opportunity in Mortgage Banking

Just the smallest mistake like not having a date on a pre-printed application sheet can make the whole thing slower and more complicated, stressing both buyers and sellers. RPA (Robotic Processing Automation) solutions that perform routinely, rule-based jobs without the need for humans can greatly increase the mortgage lending expertise. Whilst banking has made significant advances in the automation of fundamental mortgage-related businesses, workflow and functionality, RPA can increase efficiencies by complementing them.

In addition, an important chance for RPA is to identify and correct failures and exemptions that today demand a high degree of manual intrusion. Procedural exemptions for uses such as health care claiming usually pose complicated policy and cover policy issues that demand people to think, judge, and be knowledgeable. But a high percent of construction financing mistakes and procedural exemptions are commonplace and can be solved by using clearly definable, rule-based algorithm.

RPA is ideal for automation of the correction of these bugs and exclusions and for eliminating the bottle-necks that often hamper mortgage lending. In addition to enhancing the operating efficiencies of credit processing, banking and other finance organizations have the ability to use intelligent enterprise value enhancement capabilities.

Look at the mortgage customer: he or she is a top contender for a host of extra benefits that the bank can provide - insurances, austerity programmes, pension schemes and the like. As a bank, the challenges lie in linking the points between a particular client - and what is known about that client - and the bank's other offers that might be of interest.

Currently, this is a very human-intensive operation and sluggish in many settings. For example, a clever piece of John and Mary's mortgage papers might show that they have two school-aged kids and mark them as potential students for the bank's collegiate saving scheme. The RPA utilities could help ease the way John and Mary get into the market funnels of their respective products.

To this end, the intelligent tool would supplement a wider customer-focused approach that focuses on analysis of information, societal communications and other technology, using RPA's basic skills. In addition, the tool can significantly improve the way customers collect and analyze information to provide this crucial information. They can also expand into other banking services, such as client self-service, by tracking ATM interaction with referrals for enhanced assurance of a client's life and asset investments.

Today, client bonding is an important requirement for today's banking industry. Contrary to previous generation, the MD will change bank at the push of a button, so every chance to create a good client moment must be used. Intelligent analytics that increase operating efficiencies and provide visibility into client preference can be a crucial factor in a successful competitor strategy to increase client engagement and improve results.

His most recent position was Senior Director and Head of the Corbus Logistics Division's Competence Center for Order-to-Cash and Robotics in Industrial Manufacturing. Mr. Davison also established his own consultancy, Mark Davison & Associates, which specializes in improving businesses processes, ERP program/project managements, opportunity managements, acquisitions conversion/integration and outsourced work.