SlideShare a Scribd company logo
HOW WILL
Artificial
Intelligence
AFFECT THE LOAN
MANAGEMENT PROCESS
www.tyronesystems.com
As loan management is one of the key divisions of banking and finance
companies, AI adoption has grown to do all redundant and mundane tasks,
but previously it was not the case.
Before providing a loan, banks and financial instructions review lenders
profile, his/her income, expenses and liabilities, etc. On the basis of that
analysis, a certain amount, interest rate and tenure can be decided.
Earlier, this process was manual; thus, you can imagine how much time-
consuming it was.Thanks to the recent technological developments, no
need to visit a bank and provide documents, etc. for the approval of your
loan.
Improving the
Customer
Experience
Costs for origination and servicing are
at an all-time high. AI technologies
can help reduce loan defects, which
impact the loan quality that increase
lender costs. AI, specifically machine
learning (ML), can also speed up
ingestion of loan applications along
with data extraction to significantly
enhance customer experience.
www.tyronesystems.com
Detect fraud or
reduce
defaults
Incidents of fraud in mortgage
applications are on the rise. Due to
the high volume of applications, this
part of the process is most efficient
when humans work in collaboration
with AI technology to detect fraud.
This is another area where the
combination of RPA with AI can have a
direct impact on reducing the number
of fraudulent claims.
www.tyronesystems.com
A Positive
Impact on the
Jobs
Usually, when the topic of AI and
machine learning comes up at the
workplace, employees inevitably start
worrying about their job’s security and
whether or not technology can replace
them. But in this case, better
technologies only mean that those
redundant tasks will be eliminated
from employees’ job description,
being able to effectively and
successfully handle only those higher-
value tasks.
www.tyronesystems.com
Our Social
Pages
FACEBOOK
www.facebook.com/tyronesystems
TWITTER
www.twitter.com/tyronesystems
BLOG
www.blog.tyronesystems.com
Thank You!

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How will Artificial Intelligence Affect the Loan Management Process

  • 2. www.tyronesystems.com As loan management is one of the key divisions of banking and finance companies, AI adoption has grown to do all redundant and mundane tasks, but previously it was not the case. Before providing a loan, banks and financial instructions review lenders profile, his/her income, expenses and liabilities, etc. On the basis of that analysis, a certain amount, interest rate and tenure can be decided. Earlier, this process was manual; thus, you can imagine how much time- consuming it was.Thanks to the recent technological developments, no need to visit a bank and provide documents, etc. for the approval of your loan.
  • 3. Improving the Customer Experience Costs for origination and servicing are at an all-time high. AI technologies can help reduce loan defects, which impact the loan quality that increase lender costs. AI, specifically machine learning (ML), can also speed up ingestion of loan applications along with data extraction to significantly enhance customer experience. www.tyronesystems.com
  • 4. Detect fraud or reduce defaults Incidents of fraud in mortgage applications are on the rise. Due to the high volume of applications, this part of the process is most efficient when humans work in collaboration with AI technology to detect fraud. This is another area where the combination of RPA with AI can have a direct impact on reducing the number of fraudulent claims. www.tyronesystems.com
  • 5. A Positive Impact on the Jobs Usually, when the topic of AI and machine learning comes up at the workplace, employees inevitably start worrying about their job’s security and whether or not technology can replace them. But in this case, better technologies only mean that those redundant tasks will be eliminated from employees’ job description, being able to effectively and successfully handle only those higher- value tasks. www.tyronesystems.com