AI Based Automation Of CRE Loan Underwriting Process

About the Client

The client is a US based international boutique consulting firm focused on providing advisory and consulting services to the commercial real estate

Business Requirements

  • Automate the manually intensive process of loan underwriting.
  • Monitor mailbox to manually identify incoming documents related to real estate financial statements.
  • Categorize them into Income and Expense statements and assign the appropriate property type.
  • Categorize line items of every document into predefined classes.
  • Extract data from the appropriate documents, aggregate across months and years and provide reconciliation numbers.

Our Solution

  • Automated document monitoring using highly configurable Python Engine.
  • Engine scans all given websites, provides notification of the regulations which have undergone a change and downloads them.
  • Report on what has been changed is generated.
  • Technologies used: Python, Machine Learning, OCR.

Process Image


Business Outcomes

  • 80% Timely and accurate data.
  • Manual errors reduced by 90%.
  • Due to automation 10 members SME team was reduced to 2 people caused 80% effort Reduction.
  • 90% Cost Reduction.