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
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

“Microsoft AI tools have transformed how we handle complex document data, enabling faster and more accurate decisions.”

Details

Industry
Professional Services & Consulting
Departments
Data & Analytics
Use Cases
Document Management
Tags
Cost Reduction
AI Tools Used
No items found.
Sources
https://iti.ca/en/blog/artificial-intelligence/case-studies-getting-ready-for-artificial-intelligence/

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