AI-Powered Software Rationalization

Rationalizing 10,000+ Applications With AI

$5M+
Annualized Savings

An enterprise application estate had grown to more than 10,000 applications, creating significant challenges around software overlap, cost, audit exposure, and cybersecurity risk.

Situation

Applications had developed across different business units without consistent categorization.

This made it difficult to:

  • Identify duplicate applications
  • Detect functional overlap
  • Establish rationalization priorities
  • Reduce unnecessary software
  • Manage audit exposure
  • Control the growing application attack surface

Action

ProTeam applied AI-driven categorization across the complete application inventory.

Applications were classified into functional categories including:

  • Productivity
  • Collaboration
  • Design
  • Analytics
  • Security
  • Other enterprise functions

The analysis identified overlapping application clusters and generated prioritized rationalization recommendations.

Result

The AI-driven analysis identified approximately 1,000 redundant applications within the 10,000+ application estate.

The resulting rationalization strategy generated $5M+ in annualized savings while also reducing audit exposure and cybersecurity risk.

Get Complimentary Consultation

Case Studies

Related Case Studies