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About Us
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Vee Technologies’ extraordinary expertise leads to remarkable results.

We share insights, analysis and research – tailored to your unique interests – and make case studies and whitepapers to help you deepen your knowledge and impact.

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Engineering

Vee Technologies’ Approach to Returnable Packaging

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Building Effective Teams & Resource Scaling in Engineering: Vertical vs Horizontal

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How to Safely Conduct Business in a Post-Covid World

Business Continuity and the Art of Managing Disruption

The Need for Speed: Successful Change Management Requires an Experienced, Innovative Team – Even if They’re Not Currently Your Team

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Long-term Automation Strategy: Using APIs To Solve What RPA Cannot

Why Insights Matter: Unlocking Your Potential

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Thriving Automation

Improve Efficiency and Competitiveness - Discovering Under - Utilized Workflow Analysis Tactics

Bridging the Digital Health Literacy Gap

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A Leading Mineral Extraction Device Manufacturer Automates End-to-End Invoice Processing using Vee Technologies’ Hybrid Bots

Purchase Order Management Automation for a Leading Manufacturing Company with Vee Technologies’ Hybrid Bots

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Case Study - Law Firm (Australia)

Case Study - Consultant Company (UK)

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Creating IT Solutions That Enhance Business Functionality

VEE Auto Indexing Tool

Auto Indexing Tool - Case Studies

Auto-Indexing-Tool

Background:

Healthcare charts run into to several hundred pages; healthcare coders scrutinize them manually for critical information such as patient name, date of service, provider name, etc. In order to reduce turnaround time and bring down costs, the client wanted critical information to be pre-processed before the charts are handed over to the coder.

Key Features:

Workflow solution
Optical Character Recognition (OCR) Technology
Open Natural Language Processing (Open NLP)
Creation of cover sheet with critical data
Status dashboard

Result

Our technological solution for an efficient workflow process resulted in close to 90% automation of the manual indexing process. Coders saved coding time in the range of 20% through a cover sheet that was index data enabled.