How Simplicity Turned App Usage Blind Spots Into License Savings

"For the first time, we could clearly see which applications were actually being used and which were just sitting on an invoice. CloudEagle.ai gave us feature-level visibility across every app, helping us identify unused licenses and turn license harvesting from a long, manual process into a quick, confident decision. "

~ Tianna B, Director, Business Operations, Simplicity Consulting

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1,350 hrs/yr

saved in SaaS management

Feature-level

usage visibility across every app

One-click

license harvesting workflows

1,350 hrs/yr

saved in SaaS management

Feature-level

usage visibility across every app

One-click

license harvesting workflows

Challenge

Simplicity had no single view of SaaS usage across departments, apps, or license utilization.
Shadow IT surfaced late, while unused and underutilized licenses quietly increased SaaS costs.
Without feature-level usage data, right-sizing and renewal decisions were based on assumptions.

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Solution

CloudEagle.ai centralized SaaS apps, licenses, and usage data into one live dashboard.
SaaS & AI Discovery surfaced shadow IT automatically and alerted IT when new apps appeared.
Feature-level telemetry and License Management enabled one-click harvesting of unused licenses.

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Result

Simplicity gained full visibility into SaaS usage across applications, departments, and features.
Shadow IT moved from quarterly discovery to real-time alerts with faster action on unsanctioned tools.
Unused licenses were identified and harvested, reducing waste and improving renewal decisions.

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Challenge

Simplicity used SaaS across every part of the business, but lacked one clear view of which applications were actively used and which were creating unnecessary cost.

New tools often appeared on invoices before IT knew they existed, while Finance saw spend without a usage context.

Unused and underutilized licenses quietly increased costs, and without feature-level usage data, renewal decisions were based on assumptions instead of evidence.

As AI tools like ChatGPT, Claude, Cursor, and Gemini spread across teams, the same visibility problem was starting to repeat with shadow AI.

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Solution

CloudEagle.ai created one dashboard for every SaaS app, license, and usage signal across the business.
SaaS & AI Discovery surfaced active applications across departments, including unsanctioned shadow IT and shadow AI.
Feature-level usage telemetry showed which features, roles, and seats were actually being used.
License Management & Harvesting tied license inventory to real usage and enabled one-click reclaim workflows.
Application Rationalization identified duplicate and overlapping tools for smarter consolidation decisions.

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Why CloudEagle.ai?

Simplicity evaluated several solutions and chose CloudEagle.ai for these reasons:

Feature-level and role-level usage visibility made right-sizing decisions based on real behavior, not logins alone.
Real-time inbox alerts turned shadow IT discovery into a continuous operational process.
Built-in harvesting workflows removed the need for manual spreadsheet follow-up during license cleanup.
Fast onboarding with SSO and finance integrations delivered immediate visibility without custom development.
The same governance model extends to AI tools and shadow AI discovery across the business.

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Impact

Full Visibility Into SaaS Apps and Usage

Simplicity gained a complete view of every active SaaS application across departments, with feature-level usage data tied to each one.
Spreadsheet-based tracking was replaced by a live dashboard that stayed current as the SaaS stack changed.
Centralized visibility saved 1,350 hours per year across IT and Finance, most of which used to go into maintaining and reconciling the spreadsheets.

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Shadow IT Surfaced Automatically

SaaS & AI Discovery flagged shadow IT apps as soon as they appeared in the stack, with inbox alerts to Chad rather than quarterly audit reports.
Unsanctioned tools that used to slip through until renewal are now caught in days, not quarters.
The same discovery model now extends to shadow AI, catching unsanctioned ChatGPT, Claude, Cursor, and Gemini subscriptions before they become hidden cost lines.

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Unused Licenses Harvested and Apps Right-Sized

License Management & Harvesting identified unused and underutilized licenses based on real feature-level usage, turning license reclaim into a one-click workflow.
One-click harvesting made license reclaim faster and more reliable across renewal cycles.
Right-sizing decisions moved from guesswork to confident, data-backed contract optimization.

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