Application

Lease Abstraction

Overview

Accelerate lease abstraction by switching from time-consuming, tedious, error-prone, manual processes to AI-powered automation. RAP AI’s EyeMagic engine enables automation of the entire workflow of tasks related to lease abstraction which shortens process cycle time, and provides accurate results at significantly lower costs. Make the shift to AI-powered automation that gathers relevant data for lease management and FASB/IASB lease accounting.

Lease Abstraction

How it Works

The scanned lease document is read by the RAP AI engine EyeMagic which extracts relevant data in a structured format in the specified file type – pdf, Excel, or csv. This structured data can be fed to other systems as required, enabling workflow automation.

Lease Abstraction

Benefits

Zero Manual Intervention

Lower costs and free manual resources by automating the workflow for lease abstraction.

Zero Manual Intervention
Save About 50% of Your Cost

Reap massive savings of up to 50% through the speed and accuracy of AI-driven automation.

Save About 50% of Your Cost
3x Faster Process

Accelerate process speed for lease abstraction document processing by a factor of three.

3x Faster Process
Enhanced User Experience

Enjoy the convenience and ease of use of the application for a better user experience.

Enhanced User Experience
Exponentially Improve Productivity

Do more in less time thanks to the speed and capacity of AI-driven automation.

Exponentially Improve Productivity
Incredibly Scalable Solution

Easily scale to handle varying volumes of lease documents to be processed.

Incredibly Scalable Solution
Achieve Unmatchable Accuracy

With RAP AI, Eliminate critical errors that can cause long delays and cost your business.

Achieve Unmatchable Accuracy
Requires Just One-time Training

Train just once to your parameters and inputs, then deploy end-to-end automation.

Requires Just One-time Training

Case Study

Tap unprecedented speed and efficiency with AI-powered automation of lease abstraction.