How ITI Foundation Automated Document Processing with Microsoft AI to Improve Decision-Making

By: GoBeyond Team

July 3, 2025

3 min read

AI case study for ITI Foundation – automated document processing with Microsoft AI

Quick Overview

ITI Foundation leveraged Microsoft’s Document Intelligence API to extract and structure data from large volumes of unstructured, non-standardized documents, creating a fully automated pipeline that enhanced data accessibility and analytics efficiency.

ITI Foundation

Company Size

~200 employees (estimated)

Revenue Range

Not publicly disclosed

Primary Challenge

Handling large volumes of unstructured and non-standardized documents across divisions causing inefficiencies

Key Metrics

\- Automated data extraction and classification\- Improved data accessibility and consistency\- Enhanced decision-making speed and accuracy

The Problem

Manual processing of diverse PDF documents was time-consuming and error-prone, limiting timely access to critical data.

The Solution

Implemented Microsoft Document Intelligence API to automate extraction, classification, and structuring of data from PDFs, enabling a streamlined data pipeline.

Results

\- Significant reduction in manual document processing time\- Improved data quality and accessibility\- Faster, more informed decision-making across divisions