How to Count Applications Correctly

Many organizations underestimate the number of applications they use. To produce an accurate Technology Physical diagnostic, please include all systems used to operate the business, not just the most visible tools.

When in doubt, include the system.

Count Separate Modules as Separate Applications

Some platforms provide multiple products within the same ecosystem. If different teams use different modules, list them separately.

This helps identify functional overlap and consolidation opportunities.

Include Department-Level Tools

Many organizations forget to include tools used by individual departments.

Each department may independently adopt software, which increases technology sprawl.

Include Automation and Integration Tools

Systems used to connect applications are often overlooked but are critical to understanding technology complexity.

These systems significantly increase the Integration Surface Index (ISI).

Include AI Tools

Artificial intelligence tools used by employees should be included even if they are informal or experimental.

AI adoption often introduces shadow technology usage.

Include Infrastructure and Platform Software

Core infrastructure platforms should also be included.

Infrastructure systems influence architecture complexity even if they are not directly used by business users.

New Column: Software Category

To better distinguish different types of systems, the inventory template may include a Software Category column.

This column identifies the role of the system within the overall technology environment.

Business Application

Software used directly by employees to perform business tasks.

These systems usually support sales, marketing, operations, finance, or HR workflows.

Infrastructure Software

Software that supports the technical foundation of the organization’s systems.

Examples:

• Cloud platforms - AWS, Azure

• Identity management - Okta

• Data warehouses - Snowflake

• Monitoring tools - Datadog

These systems are typically managed by IT or engineering teams.

Operations Software (Machinery or Industrial Systems)

Software that controls or monitors physical equipment, manufacturing systems, or industrial operations.

Examples:

• Manufacturing execution systems (MES) - Siemens Opcenter

• Industrial automation systems - Rockwell Automation

• Machine monitoring software - SCADA systems

These systems are common in industries such as:

• manufacturing

• logistics

• energy

• utilities

• industrial services

They often integrate with enterprise systems such as ERP (Enterprise Resource Planning) or analytics platforms.

Why This Distinction Matters

Separating these categories helps the diagnostic determine:

• where business process complexity originates

• where technology architecture complexity exists

• where operational technology environments interact with IT systems

This distinction improves the accuracy of the Frictionless Portfolio Index (FPI) and related diagnostic metrics.

Summary

When completing the inventory:

Include:

• business applications

• infrastructure platforms

• automation tools

• AI tools

• operations or industrial software (if applicable)

A complete inventory allows the Technology Physical diagnostic to identify:

• redundant applications

• integration complexity

• consolidation opportunities

• potential cost savings