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Microsoft 365 Microsoft Copilot Chaos: Optimize License Waste and Shadow AI Risks with CloudEagle

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Here’s the reality many CIOs and CISOs are facing.

Microsoft Copilot rolls out fast. Licenses are assigned widely. AI access now sits across Word, Teams, Outlook, and SharePoint. At the same time, employees continue using personal ChatGPT accounts and browser AI tools outside IT visibility.

That’s not just license waste. That’s Shadow AI expanding inside and outside your Microsoft tenant.

Without structured Microsoft 365  Microsoft Copilot license optimization and access governance, you don’t just overspend. You lose control of where your data flows.

This blog breaks down the risk and how CloudEagle brings  Microsoft Copilot back under governance.

TL;DR

  •  Microsoft Copilot licenses cost $30/user/month, but many sit unused while employees use unsanctioned AI tools instead.
  • Shadow AI runs in parallel to official  Microsoft Copilot rollouts, creating compliance and data governance gaps.
  • Manual Microsoft 365  Microsoft Copilot license optimization cannot keep pace with real-time usage and role changes.
  • CloudEagle automates license reclamation, Shadow AI detection, and continuous access governance across  Microsoft Copilot and unsanctioned tools.

1. What Is Microsoft 365  Microsoft Copilot License and Access Governance?

Microsoft Copilot license governance is more than tracking who has a seat. It's the full practice of:

  • Knowing exactly who has a  Microsoft Copilot license assigned and whether they're using it
  • Ensuring access is based on role and actual need, not bulk assignment
  • Controlling how  Microsoft Copilot interacts with your org data (SharePoint, Teams, Exchange)
  • Monitoring for unsanctioned AI tools running in parallel

That last point is where Microsoft Copilot Shadow AI enters. 

When employees don't get value from Copilot, they don't stop using AI; they go off-platform. ChatGPT, Gemini, Perplexity. All on personal accounts, all handling company data, all invisible to IT.

A. Why  Microsoft Copilot Governance Is Different From Other M365 Licenses?

 Microsoft Copilot isn't just another add-on. It has deep Graph API access, and it reads emails, documents, Teams conversations, and calendar data. That means:

  • Every unmanaged license isn't just a budget line; it's a data access control decision
  • Every unsanctioned AI tool running in parallel is a potential data leakage vector
  • Microsoft 365  Microsoft Copilot access governance sits at the intersection of cost management, identity governance, and AI risk; it most certainly cannot be managed through a spreadsheet

2. Understanding the Current Microsoft Copilot Rollout in Enterprises

The gap between intention and reality with  Microsoft Copilot is significant. Here's where enterprises actually stand.

According to an October 2024 CNBC Technology Executive Council survey, 50% of technology leaders said it was still too soon to know whether  Microsoft Copilot had been worth the $30/month cost, and equal numbers said yes and no. 

A. The Typical Enterprise Rollout Pattern

  • Phase 1 — A pilot group of 50–200 users gets licenses. Usage is inconsistent, and feedback is mixed.
  • Phase 2 — Leadership pushes for broader rollout. Licenses get assigned to hundreds of users in bulk.
  • Phase 3 — No one measures adoption. Licenses sit idle. Finance starts asking questions.
  • Phase 4 — IT scrambles to justify spend before renewal. Too late to reclaim meaningful savings.

The problem isn't  Microsoft Copilot itself. It's that organizations are treating it like a standard software rollout when it requires an entirely different governance model.

B. The Shadow AI Layer Nobody Talks About

While IT manages the official  Microsoft Copilot rollout, employees are making their own decisions. When  Microsoft Copilot underdelivers, they open a new browser tab, and that's where Microsoft Copilot Shadow AI takes hold.

  • ChatGPT, Gemini, and Claude are running on personal accounts
  • Company data is being fed into public LLMs with no enterprise data protection
  • No audit trail, no compliance visibility, no IT oversight

Shadow AI Is Already Running.

Detect unsanctioned tools. Regain visibility.
Download the Shadow AI Guide

CloudEagle's IGA Report found that over 60% of SaaS and AI tools operate completely outside IT's visibility, meaning for every sanctioned  Microsoft Copilot license being managed, there are likely multiple unsanctioned AI tools running in parallel.

3. The Pain Points of Managing  Microsoft Copilot Manually

Trying to manage Microsoft 365  Microsoft Copilot license optimization with native tools and manual processes means dealing with these realities every day.

A. No Real-Time Usage Visibility

Microsoft's admin center shows enabled vs. active users, but data refreshes only weekly, with a 180-day lookback and no activity counts. That's not actionable for a $30/user/month license.

What you're left with:

  • No picture of which users are actually getting value from Copilot
  • No feature-level data (who's using  Microsoft Copilot in Word vs. Teams vs. Outlook)
  • No alerts when users go inactive
  • No automated workflow to reclaim dormant licenses

B. Bulk Assignment Without Role Validation

Most rollouts assign licenses by department or seniority, not actual need. A finance analyst spending 90% of their day in an ERP system doesn't need a $30/month AI writing assistant. But they have one.

A full Microsoft 365  Microsoft Copilot rollout for a 10,000-employee company costs $3.6 million annually, making usage-based  Microsoft Copilot license governance financially critical, not optional.

C. Shadow AI Fills the Gaps

When  Microsoft Copilot underdelivers, employees don't file a support ticket; they go off-platform. The risks this creates:

  • Proprietary data entered into public LLMs with no enterprise data protection
  • No audit trail for AI-assisted work
  • Compliance violations in regulated industries (healthcare, finance, legal)
  • IP leakage through AI training data policies on free-tier tools

D. Offboarding Gaps Leave Licenses and Access Active

 Microsoft Copilot licenses don't get reclaimed automatically when employees leave. An ex-employee's seat keeps billing, and their Graph API access to your organizational data stays technically unrevoked until IT catches it manually. That's both a budget problem and a security problem.

AI License Waste Adds Up Fast.

Proven SaaS spend tactics. Real cost control.
Download the Spend Guide

4. How CloudEagle.ai Helps Optimize  Microsoft Copilot Licenses and Reduce Shadow AI Risk?

CloudEagle solves the gaps that native M365 tools and manual processes can't, by governing every  Microsoft Copilot license and every AI tool an employee touches, whether sanctioned or not.

A. Real-Time  Microsoft Copilot Usage Visibility

1. Challenge: Microsoft's admin center only gives weekly snapshots. No feature-level data, no activity counts, no alerts for dormant users, making Microsoft 365  Microsoft Copilot license optimization decisions nearly impossible in real time.

2. CloudEagle Solution: CloudEagle integrates directly with Microsoft 365 and pulls usage data at the individual and feature level, continuously, not weekly. You can see:

  • Users who haven't used  Microsoft Copilot in 30, 60, or 90 days
  • Which  Microsoft Copilot features each user actively uses (Word, Teams, Outlook, Excel)
  • Which departments have the highest and lowest adoption rates
  • Licenses assigned but never activated

3. Outcome: IT and finance have the data they need for  Microsoft Copilot license governance decisions at any point, no waiting for admin center exports, no manual report-pulling.

B. Automated License Harvesting and Reclamation

1. Challenge: Dormant  Microsoft Copilot licenses don't reclaim themselves. Without automation, IT has to manually track inactivity, chase stakeholders, and process reclamations one by one, often too late to impact the renewal.

2. CloudEagle Solution: When a user crosses an inactivity threshold, CloudEagle's automated workflows trigger immediately:

  • Flags the license for review
  • Notifies the relevant stakeholder
  • Reclaims and reallocates the seat without manual IT intervention

3. Outcome: License reclamation becomes continuous, not reactive. For enterprises managing hundreds of  Microsoft Copilot seats, this is the difference between one-time cleanup and ongoing SaaS license management discipline.

RingCentral used CloudEagle to deprovision 932 users from underutilized licenses, saving $1.2M and 1,500+ hours/year through automated license harvesting, with full visibility set up in just 30 minutes.

C. Shadow AI Detection and Governance

1. Challenge: Employees who aren't getting value from  Microsoft Copilot go off-platform, using ChatGPT, Gemini, and other tools with company data, completely outside IT's visibility. Microsoft  Microsoft Copilot Shadow AI isn't an edge case. It's the norm.

2. CloudEagle Solution: CloudEagle's Shadow AI detection surfaces every unsanctioned AI tool running across your organization:

  • Discovers AI tools accessed via expense cards, personal accounts, or browser logins
  • Risk-scores each tool based on data handling and compliance policies
  • Triggers automated workflows to block, approve, or redirect users to sanctioned alternatives
  • Builds a complete audit trail for compliance and security reviews

3. Outcome: IT finally has a complete picture of AI adoption, not just the official  Microsoft Copilot layer, but the entire shadow AI stack running underneath it. This directly addresses the Microsoft 365  Microsoft Copilot access governance blind spot that most enterprises currently have no answer for.

“Offboarding employees across 100+ SaaS apps used to be a major challenge for our IT team. Manual steps left ex-employees with lingering access, creating security risks and wasted license costs. With CloudEagle.ai’s Zero-Touch Offboarding feature, we’ve closed those gaps. No ex-employee access, lower risks, big cost savings, and simpler compliance.”
— Devon Murphy, Senior Accounting Manager, RecRoom

Read the full case study here

D. Role-Based License Assignment and Right-Sizing

1. Challenge:  Microsoft Copilot licenses are assigned based on seniority or department, not actual use case. Role changes, promotions, and departures rarely trigger license updates, leading to overprovisioning, privilege creep, and steady  Microsoft Copilot license waste.

2. CloudEagle Solution: CloudEagle connects  Microsoft Copilot license data to your HR and identity systems so assignments stay accurate automatically:

  • License assignments update the moment HRIS data changes
  • Role changes trigger automatic access re-evaluation
  • Right-sizing reports show exactly which users could move to  Microsoft Copilot Chat (free tier) vs. paid seats
  • Cost impact modeled across renewal scenarios

3. Outcome: No more finance analysts holding $30/month  Microsoft Copilot seats they haven't touched since onboarding. Teams using CloudEagle reduce manual license update work by 40–50 hours/month.

E. Continuous Access Reviews and Offboarding Governance

1. Challenge: Quarterly manual access reviews are too slow and too error-prone.  Microsoft Copilot seats stay active after employees leave, contractors retain access after engagements end, and IT only finds out when something goes wrong.

2. CloudEagle Solution: CloudEagle's EagleEye AI continuously monitors  Microsoft Copilot permissions and access patterns:

  • Flags misaligned or risky access in real time
  • Recommends least-privilege corrections with one-click remediation
  • Triggers complete offboarding the moment an HRIS or ITSM signal fires, revoking  Microsoft Copilot access and reclaiming the license automatically
  • Assigns time-bound access for contractors so seats expire without manual tracking

3. Outcome: Access governance becomes proactive, not reactive. Compliance reviews that used to take months finish in hours, and no ex-employee or contractor is ever left holding an active  Microsoft Copilot seat.

5. Why CloudEagle.ai Is the Right Solution for  Microsoft Copilot Governance?

There are SaaS management tools, and there are platforms built for the complexity of AI-era license governance. CloudEagle is the second kind.

What sets it apart for  Microsoft Copilot specifically:

  • Direct M365 integration: Feature-level usage data across the entire Microsoft 365 suite, not just surface-level license counts
  • Shadow AI discovery: Full visibility into unsanctioned AI tools running alongside Copilot, risk-scored and actionable
  • Automated governance workflows: Onboarding, offboarding, and role changes handled without manual IT intervention
  • Renewal intelligence: Year-round utilization tracking means you're never scrambling to justify seat counts at renewal
  • 500+ native integrations: Connected to your HRIS, ITSM, and identity providers so license data stays accurate across all systems

CloudEagle has helped enterprises process over $2 billion in SaaS transactions and deliver more than $150 million in SaaS savings, recognized in the 2025 Gartner Magic Quadrant for SaaS Management Platforms.

Conclusion

Microsoft 365  Microsoft Copilot is one of the most expensive per-seat AI commitments an enterprise can make right now, and most organizations are flying blind on whether it's paying off. 

Microsoft 365  Microsoft Copilot license optimization is not a one-time audit. It's a continuous practice that requires real usage data, automated governance, and visibility into the AI tools employees are actually using, not just the ones IT approved.

CloudEagle.ai gives IT and finance leaders exactly that. Because in 2026 and beyond, Microsoft 365, Microsoft Copilot, access governanc,e and SaaS license management aren't separate conversations; they're the same one.

If your  Microsoft Copilot rollout has more questions than answers right now, that's exactly the problem CloudEagle is built to solve.

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License Count
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Notion Plus
License Count
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100-500
$67.20 - $78.72
500-1000
$59.52 - $72.00
1000+
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Canva Pro
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$74.33-$88.71
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$216.00 - $264.00
500-1000
$180.00 - $216.00
1000+
$156.00 - $180.00

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Here’s the reality many CIOs and CISOs are facing.

Microsoft Copilot rolls out fast. Licenses are assigned widely. AI access now sits across Word, Teams, Outlook, and SharePoint. At the same time, employees continue using personal ChatGPT accounts and browser AI tools outside IT visibility.

That’s not just license waste. That’s Shadow AI expanding inside and outside your Microsoft tenant.

Without structured Microsoft 365  Microsoft Copilot license optimization and access governance, you don’t just overspend. You lose control of where your data flows.

This blog breaks down the risk and how CloudEagle brings  Microsoft Copilot back under governance.

TL;DR

  •  Microsoft Copilot licenses cost $30/user/month, but many sit unused while employees use unsanctioned AI tools instead.
  • Shadow AI runs in parallel to official  Microsoft Copilot rollouts, creating compliance and data governance gaps.
  • Manual Microsoft 365  Microsoft Copilot license optimization cannot keep pace with real-time usage and role changes.
  • CloudEagle automates license reclamation, Shadow AI detection, and continuous access governance across  Microsoft Copilot and unsanctioned tools.

1. What Is Microsoft 365  Microsoft Copilot License and Access Governance?

Microsoft Copilot license governance is more than tracking who has a seat. It's the full practice of:

  • Knowing exactly who has a  Microsoft Copilot license assigned and whether they're using it
  • Ensuring access is based on role and actual need, not bulk assignment
  • Controlling how  Microsoft Copilot interacts with your org data (SharePoint, Teams, Exchange)
  • Monitoring for unsanctioned AI tools running in parallel

That last point is where Microsoft Copilot Shadow AI enters. 

When employees don't get value from Copilot, they don't stop using AI; they go off-platform. ChatGPT, Gemini, Perplexity. All on personal accounts, all handling company data, all invisible to IT.

A. Why  Microsoft Copilot Governance Is Different From Other M365 Licenses?

 Microsoft Copilot isn't just another add-on. It has deep Graph API access, and it reads emails, documents, Teams conversations, and calendar data. That means:

  • Every unmanaged license isn't just a budget line; it's a data access control decision
  • Every unsanctioned AI tool running in parallel is a potential data leakage vector
  • Microsoft 365  Microsoft Copilot access governance sits at the intersection of cost management, identity governance, and AI risk; it most certainly cannot be managed through a spreadsheet

2. Understanding the Current Microsoft Copilot Rollout in Enterprises

The gap between intention and reality with  Microsoft Copilot is significant. Here's where enterprises actually stand.

According to an October 2024 CNBC Technology Executive Council survey, 50% of technology leaders said it was still too soon to know whether  Microsoft Copilot had been worth the $30/month cost, and equal numbers said yes and no. 

A. The Typical Enterprise Rollout Pattern

  • Phase 1 — A pilot group of 50–200 users gets licenses. Usage is inconsistent, and feedback is mixed.
  • Phase 2 — Leadership pushes for broader rollout. Licenses get assigned to hundreds of users in bulk.
  • Phase 3 — No one measures adoption. Licenses sit idle. Finance starts asking questions.
  • Phase 4 — IT scrambles to justify spend before renewal. Too late to reclaim meaningful savings.

The problem isn't  Microsoft Copilot itself. It's that organizations are treating it like a standard software rollout when it requires an entirely different governance model.

B. The Shadow AI Layer Nobody Talks About

While IT manages the official  Microsoft Copilot rollout, employees are making their own decisions. When  Microsoft Copilot underdelivers, they open a new browser tab, and that's where Microsoft Copilot Shadow AI takes hold.

  • ChatGPT, Gemini, and Claude are running on personal accounts
  • Company data is being fed into public LLMs with no enterprise data protection
  • No audit trail, no compliance visibility, no IT oversight

Shadow AI Is Already Running.

Detect unsanctioned tools. Regain visibility.
Download the Shadow AI Guide

CloudEagle's IGA Report found that over 60% of SaaS and AI tools operate completely outside IT's visibility, meaning for every sanctioned  Microsoft Copilot license being managed, there are likely multiple unsanctioned AI tools running in parallel.

3. The Pain Points of Managing  Microsoft Copilot Manually

Trying to manage Microsoft 365  Microsoft Copilot license optimization with native tools and manual processes means dealing with these realities every day.

A. No Real-Time Usage Visibility

Microsoft's admin center shows enabled vs. active users, but data refreshes only weekly, with a 180-day lookback and no activity counts. That's not actionable for a $30/user/month license.

What you're left with:

  • No picture of which users are actually getting value from Copilot
  • No feature-level data (who's using  Microsoft Copilot in Word vs. Teams vs. Outlook)
  • No alerts when users go inactive
  • No automated workflow to reclaim dormant licenses

B. Bulk Assignment Without Role Validation

Most rollouts assign licenses by department or seniority, not actual need. A finance analyst spending 90% of their day in an ERP system doesn't need a $30/month AI writing assistant. But they have one.

A full Microsoft 365  Microsoft Copilot rollout for a 10,000-employee company costs $3.6 million annually, making usage-based  Microsoft Copilot license governance financially critical, not optional.

C. Shadow AI Fills the Gaps

When  Microsoft Copilot underdelivers, employees don't file a support ticket; they go off-platform. The risks this creates:

  • Proprietary data entered into public LLMs with no enterprise data protection
  • No audit trail for AI-assisted work
  • Compliance violations in regulated industries (healthcare, finance, legal)
  • IP leakage through AI training data policies on free-tier tools

D. Offboarding Gaps Leave Licenses and Access Active

 Microsoft Copilot licenses don't get reclaimed automatically when employees leave. An ex-employee's seat keeps billing, and their Graph API access to your organizational data stays technically unrevoked until IT catches it manually. That's both a budget problem and a security problem.

AI License Waste Adds Up Fast.

Proven SaaS spend tactics. Real cost control.
Download the Spend Guide

4. How CloudEagle.ai Helps Optimize  Microsoft Copilot Licenses and Reduce Shadow AI Risk?

CloudEagle solves the gaps that native M365 tools and manual processes can't, by governing every  Microsoft Copilot license and every AI tool an employee touches, whether sanctioned or not.

A. Real-Time  Microsoft Copilot Usage Visibility

1. Challenge: Microsoft's admin center only gives weekly snapshots. No feature-level data, no activity counts, no alerts for dormant users, making Microsoft 365  Microsoft Copilot license optimization decisions nearly impossible in real time.

2. CloudEagle Solution: CloudEagle integrates directly with Microsoft 365 and pulls usage data at the individual and feature level, continuously, not weekly. You can see:

  • Users who haven't used  Microsoft Copilot in 30, 60, or 90 days
  • Which  Microsoft Copilot features each user actively uses (Word, Teams, Outlook, Excel)
  • Which departments have the highest and lowest adoption rates
  • Licenses assigned but never activated

3. Outcome: IT and finance have the data they need for  Microsoft Copilot license governance decisions at any point, no waiting for admin center exports, no manual report-pulling.

B. Automated License Harvesting and Reclamation

1. Challenge: Dormant  Microsoft Copilot licenses don't reclaim themselves. Without automation, IT has to manually track inactivity, chase stakeholders, and process reclamations one by one, often too late to impact the renewal.

2. CloudEagle Solution: When a user crosses an inactivity threshold, CloudEagle's automated workflows trigger immediately:

  • Flags the license for review
  • Notifies the relevant stakeholder
  • Reclaims and reallocates the seat without manual IT intervention

3. Outcome: License reclamation becomes continuous, not reactive. For enterprises managing hundreds of  Microsoft Copilot seats, this is the difference between one-time cleanup and ongoing SaaS license management discipline.

RingCentral used CloudEagle to deprovision 932 users from underutilized licenses, saving $1.2M and 1,500+ hours/year through automated license harvesting, with full visibility set up in just 30 minutes.

C. Shadow AI Detection and Governance

1. Challenge: Employees who aren't getting value from  Microsoft Copilot go off-platform, using ChatGPT, Gemini, and other tools with company data, completely outside IT's visibility. Microsoft  Microsoft Copilot Shadow AI isn't an edge case. It's the norm.

2. CloudEagle Solution: CloudEagle's Shadow AI detection surfaces every unsanctioned AI tool running across your organization:

  • Discovers AI tools accessed via expense cards, personal accounts, or browser logins
  • Risk-scores each tool based on data handling and compliance policies
  • Triggers automated workflows to block, approve, or redirect users to sanctioned alternatives
  • Builds a complete audit trail for compliance and security reviews

3. Outcome: IT finally has a complete picture of AI adoption, not just the official  Microsoft Copilot layer, but the entire shadow AI stack running underneath it. This directly addresses the Microsoft 365  Microsoft Copilot access governance blind spot that most enterprises currently have no answer for.

“Offboarding employees across 100+ SaaS apps used to be a major challenge for our IT team. Manual steps left ex-employees with lingering access, creating security risks and wasted license costs. With CloudEagle.ai’s Zero-Touch Offboarding feature, we’ve closed those gaps. No ex-employee access, lower risks, big cost savings, and simpler compliance.”
— Devon Murphy, Senior Accounting Manager, RecRoom

Read the full case study here

D. Role-Based License Assignment and Right-Sizing

1. Challenge:  Microsoft Copilot licenses are assigned based on seniority or department, not actual use case. Role changes, promotions, and departures rarely trigger license updates, leading to overprovisioning, privilege creep, and steady  Microsoft Copilot license waste.

2. CloudEagle Solution: CloudEagle connects  Microsoft Copilot license data to your HR and identity systems so assignments stay accurate automatically:

  • License assignments update the moment HRIS data changes
  • Role changes trigger automatic access re-evaluation
  • Right-sizing reports show exactly which users could move to  Microsoft Copilot Chat (free tier) vs. paid seats
  • Cost impact modeled across renewal scenarios

3. Outcome: No more finance analysts holding $30/month  Microsoft Copilot seats they haven't touched since onboarding. Teams using CloudEagle reduce manual license update work by 40–50 hours/month.

E. Continuous Access Reviews and Offboarding Governance

1. Challenge: Quarterly manual access reviews are too slow and too error-prone.  Microsoft Copilot seats stay active after employees leave, contractors retain access after engagements end, and IT only finds out when something goes wrong.

2. CloudEagle Solution: CloudEagle's EagleEye AI continuously monitors  Microsoft Copilot permissions and access patterns:

  • Flags misaligned or risky access in real time
  • Recommends least-privilege corrections with one-click remediation
  • Triggers complete offboarding the moment an HRIS or ITSM signal fires, revoking  Microsoft Copilot access and reclaiming the license automatically
  • Assigns time-bound access for contractors so seats expire without manual tracking

3. Outcome: Access governance becomes proactive, not reactive. Compliance reviews that used to take months finish in hours, and no ex-employee or contractor is ever left holding an active  Microsoft Copilot seat.

5. Why CloudEagle.ai Is the Right Solution for  Microsoft Copilot Governance?

There are SaaS management tools, and there are platforms built for the complexity of AI-era license governance. CloudEagle is the second kind.

What sets it apart for  Microsoft Copilot specifically:

  • Direct M365 integration: Feature-level usage data across the entire Microsoft 365 suite, not just surface-level license counts
  • Shadow AI discovery: Full visibility into unsanctioned AI tools running alongside Copilot, risk-scored and actionable
  • Automated governance workflows: Onboarding, offboarding, and role changes handled without manual IT intervention
  • Renewal intelligence: Year-round utilization tracking means you're never scrambling to justify seat counts at renewal
  • 500+ native integrations: Connected to your HRIS, ITSM, and identity providers so license data stays accurate across all systems

CloudEagle has helped enterprises process over $2 billion in SaaS transactions and deliver more than $150 million in SaaS savings, recognized in the 2025 Gartner Magic Quadrant for SaaS Management Platforms.

Conclusion

Microsoft 365  Microsoft Copilot is one of the most expensive per-seat AI commitments an enterprise can make right now, and most organizations are flying blind on whether it's paying off. 

Microsoft 365  Microsoft Copilot license optimization is not a one-time audit. It's a continuous practice that requires real usage data, automated governance, and visibility into the AI tools employees are actually using, not just the ones IT approved.

CloudEagle.ai gives IT and finance leaders exactly that. Because in 2026 and beyond, Microsoft 365, Microsoft Copilot, access governanc,e and SaaS license management aren't separate conversations; they're the same one.

If your  Microsoft Copilot rollout has more questions than answers right now, that's exactly the problem CloudEagle is built to solve.

CloudEagle.ai recognized in the 2025 Gartner® Magic Quadrant™ for SaaS Management Platforms
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