- The startup faced difficulty managing a large tech stack during acquisitions, with IT and Finance teams spending weeks to identify duplicates and optimize costs.
- Manual efforts delayed critical decisions and increased expense risks.
CloudEagle.ai Speeds Up M&A Diligence and Saved Thousands of Dollars in Duplicate Apps
20%
Reduction on SaaS spend
1830 hrs/yr
Saved in SaaS management
1180 hrs/yr
Saved in renewals
70%
Time reduction on app management
630 hrs/yr
Saved on reporting
30 mins
For CloudEagle onboarding
Challenge
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Solution
- CloudEagle.ai integrated with the startup’s systems using ready-made connectors, providing a single dashboard for all apps, spend, and usage data.
- This unified view enabled fast detection of duplicate apps and unused licenses.
Result
- The company shortened the diligence process from 6-12 weeks to just 3 days, saving time and money.
- CloudEagle.ai helped optimize expenses by detecting waste and improving cost efficiency.
Challenge
Managing software during acquisitions was slow and complicated. IT and finance teams had to manually track every app, license, and cost across different systems, often spending weeks reviewing spreadsheets, contracts, and usage data.
We needed a faster, simpler way to evaluate software assets and costs during mergers or acquisitions. A centralized system would make tracking easier, improve accuracy, and help teams make quicker, smarter decisions.
Solution
- Implemented scanners and connectors to build a unified dashboard for full SaaS visibility during acquisitions.
- Provided a complete view of applications and spending, simplifying cross‑company tech stack comparisons.
- Identified duplicate apps like Jira and Zendesk, plus redundant licenses for ex‑employees.
- Automated license and application optimization, cutting hundreds of hours of IT‑Finance back‑and‑forth.
Why CloudEagle.ai?
The company evaluated several solutions but chose CloudEagle.ai for three key reasons:
- Delivered a single dashboard covering all applications and spend across both acquired entities.
- Simplified technology stack and cost cross‑referencing, reducing manual work.
- Detected overlapping tools and unused licenses to optimize the software portfolio.
- Automated redundancy removal, saving significant time and enabling strategic focus.
Impact
“Savings started from day 1 as we had actionable insights from CloudEagle to optimize our SaaS spend.”
Faster Diligence Process
- CloudEagle.ai reduced the M&A diligence process from 6-12 weeks to just 3 days, saving significant time.
- The expedited process led to faster decision-making and quicker integration.
- This efficiency allowed teams to focus on other strategic priorities.
Duplicate and Overlapping Apps Detected
- CloudEagle.ai quickly identified duplicate and overlapping apps, including Jira, Github, Zendesk, Lusha, and Abacus.
- Redundant licenses were eliminated, saving thousands of dollars by reallocating resources.
- This optimization ensured that only necessary tools were retained.
Streamlined Collaboration and Time Saved
- CloudEagle.ai improved collaboration between IT and Finance teams from both companies, simplifying technology stack analysis.
- This streamlined workflow resulted in 630 hours of time saved annually.
- The solution facilitated efficient teamwork and improved decision-making across departments.
The Transformation
Before CloudEagle
M&A diligence took 6‑12 weeks with heavy manual analysis.
IT and Finance teams spent weeks identifying duplicates and redundant licenses.
No centralized visibility into combined tech stacks and spend.
Manual cross‑referencing caused delays and expense risks.
Collaboration between IT and Finance was slow and fragmented.
After CloudEagle
Reduced the diligence process to just 3 days.
Quickly detected duplicate apps and unused licenses via a unified dashboard.
Automated redundancy removal, saving thousands in unnecessary costs.
Automated redundancy removal, saving thousands in unnecessary costs.
Streamlined teamwork, saving 630 hours annually during acquisition processes.
