- Lapzo lacked a centralized view of app usage, licenses, and vendor spend across its SaaS stack.
- Manual app-by-app tracking made spend attribution slow and license waste difficult to identify.
- Without reliable usage data, license right-sizing and renewal decisions were reactive instead of strategic.
Lapzo Tracked App Usage, Licenses, and Spend Data Effortlessly Using CloudEagle.ai

"We needed clear visibility into which apps were being used, what each license actually cost, and where SaaS spend was being wasted. CloudEagle gave us that view in one place, helping us right-size licenses, reduce unnecessary spend, and save significant time on SaaS management."
~ Pedro Sors, Chief Operating Officer
70%
1,630 hrs/yr
1-click
- CloudEagle.ai centralized app usage, vendor spend, and license data into one live dashboard.
- Direct integrations with SSO, finance, and HRIS systems brought real-time usage and spend visibility.
- License Management surfaced underutilized licenses and enabled smarter right-sizing and renewal decisions.
- Lapzo gained full SaaS visibility without logging into individual applications for usage insights.
- License management automation saved 1,630 hours annually and reduced unnecessary SaaS spend.
- App management time dropped by 70%, freeing the IT team for higher-value initiatives.
Challenge
Lapzo’s lean IT team managed a growing SaaS stack without one clear view of app usage, licenses, or vendor spend. Teams logged into each application separately to pull usage data, making spend attribution slow and license waste difficult to identify.
Without reliable data, renewal and right-sizing decisions became reactive instead of strategic. Manual tracking also consumed valuable time each week and made it harder to control unnecessary SaaS spend.
As SaaS usage expanded and AI tools grew across teams, Lapzo needed one system to manage visibility, optimization, and cost control from a single place.
- CloudEagle.ai created a dashboard for app usage, vendor spend, and license data across the SaaS stack.
- Direct integrations with SSO, finance, and HRIS systems brought real-time usage and spend signals into the platform.
- License Management tied purchased licenses to actual usage and surfaced underutilized licenses for reclaim.
- Spend Intelligence delivered vendor-by-vendor spend visibility for faster optimization and renewal planning.
- Application Rationalization identified overlapping tools and helped consolidate unnecessary SaaS spend.
Lapzo evaluated several solutions and chose CloudEagle.ai for these reasons:
- Deep integrations connected SSO, finance, and HRIS systems without manual tracking or custom development.
- Usage insights went beyond login data to support accurate right-sizing based on real adoption.
- Spend Intelligence used benchmarking and live vendor data for stronger optimization decisions.
- License harvesting and downgrade workflows turned visibility into direct cost-saving actions.
- The same governance model extends to AI tools and usage visibility as Lapzo scales AI adoption
Centralized SaaS Visibility
- Lapzo gained full visibility into the SaaS stack from one dashboard, eliminating the need to visit each application individually for usage insights.
- App management time dropped by 70% as manual log-in-and-export work disappeared.
- The IT team accessed real-time app usage and spend insights as a baseline operating mode rather than a periodic exercise.
Smarter Spend Optimization
- CloudEagle.ai gave full visibility across apps, licenses, and vendor spend from one place.
- Vendor spend attribution became a one-click view instead of spreadsheet stitching and manual tracking.
- Renewal decisions shifted from assumptions to confident, data-backed right-sizing decisions.
Efficient License Management
- License Management tracked actual usage against purchased licenses, exposing underutilized licenses for reclaim or downgrade.
- Right-sizing decisions became data-backed instead of guesswork, leading to leaner renewal contracts.
- Automation saved 1,630 hours per year of manual license reconciliation and freed IT for higher-impact work.

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