One tool for test automation for every service, application, and platform. aiTest Launching Soon - Secure Your FREE Spot (Limited to the First 100 Signups)! | Join us on Tuesday, 25th August 2023, for an insightful webinar on 'Enhance the efficiency of Cloud monitoring using LogicMonitor' and optimize your cloud operations like never before!

Automating Financial Data Extraction: Transforming Reporting with AI

Streamlining Financial Processes for Enhanced Accuracy and Efficiency

Reduction in Processing Time: What once took weeks now takes just minutes
0 %
less than 1% decrease in error rate: Automation significantly improved accuracy, reducing the need for manual corrections.
0 %
reduction in operational costs: Automation cut manual labor, enabling resource reallocation and savings
0 %

Company Overview

A property management company managing multiple strip malls and investment properties was burdened with a slow, manual financial reporting process. The company needed a solution to streamline their handling of hundreds of tenant payments, vendor expenses, and financial documents, which resulted in delayed financial decision-making and increased operational costs. Applied AI Consulting was engaged to automate the extraction, categorization, and reconciliation of data from a variety of documents, drastically reducing manual effort and increasing reporting accuracy.

Issue

Diverse Document Formats

The client managed multiple financial documents like PDFs, check registers, and tenant reports, all with varying formats, making consistent data extraction a challenge.

Time-Consuming Manual Process

Manually processing hundreds of documents for report generation took weeks, delaying financial decision-making and slowing down operations.

High Risk of Human Error

The manual effort involved in reconciling data across numerous documents led to frequent human errors, compromising the accuracy of financial reports.

Lack of Real-Time Reporting

Due to the slow, manual process, the client was unable to generate timely financial reports, impacting their ability to make swift, data-driven business decisions

Let’s discuss your use cases

Similar Use Cases

Actions Taken

Automated Data Extraction

Used AWS Textract and custom regex to extract financial data from various documents efficiently.

Data Traceability & Security

Integrated DynamoDB for report tracking and S3 for secure document storage, ensuring data integrity.

Optimized Workflow

Deployed ECS containers to enhance the speed and efficiency of financial report generation.

Solution

Automated Data Extraction

Applied AI Consulting implemented AWS Textract for extracting data from financial documents, using custom regex for identifying key details.

Data Processing and Traceability

The system utilized DynamoDB to track report statuses, ensuring complete data traceability throughout the process.

Secure Storage and Processing

Input documents and final reports were securely stored in S3, while ECS containers managed the processing pipeline for seamless automation.

Automating Financial Data Extraction
Automated Financial Report Generation Workflow Using AWS Services

Impact

Faster Financial Reporting

Cut financial report generation time by 95%, allowing property managers to make quicker, data-driven decisions.

Improved Data Accuracy

Reduced manual errors by over 90%, ensuring more accurate financial reports and reconciliation.

Resource Optimization

Freed up 50% of the team’s time, enabling employees to focus on strategic tasks rather than repetitive document processing.

Customer Testimonials

Applied AI Consulting’s automation reduced our reporting time from weeks to minutes while delivering unparalleled accuracy. The ability to extract data from our complex documents allowed us to make better business decisions faster.

Principal Executive, Property Management Client

See more similar case studies

Sorry, we couldn't find any posts. Please try a different search.