Microsoft 365 Copilot has become the tech buzzword of 2025, driving enthusiasm across sectors eager to tap into the transformative power of generative AI. Businesses see its potential for boosting productivity, collaboration, and automation. Yet, as organisations rush to deploy Copilot, early experiences are proving more challenging than anticipated.

According to recent Gartner insights, the initial excitement around Copilot is high, but the reality on the ground reveals significant gaps. Many organisations are diving in without sufficient maturity, comprehensive planning, or clear strategies for tracking return on investment (ROI). Gartner’s research highlights that while around 80% of companies are piloting or planning pilots, only 16% have successfully transitioned Copilot into full-scale production environments.

Organisations need to move beyond hype towards a grounded approach - one that ensures readiness, practical adoption strategies, and measurable outcomes.

The hype compared to the reality: Five key challenges slowing copilot adoption

Excitement around Copilot’s potential is understandable but turning that excitement into tangible value demands careful groundwork.

Gartner’s recent insights highlight common barriers organisations face when attempting to transition Copilot from pilot programs to full-scale adoption. Here are the five main challenges that are slowing Copilot’s rollout and limiting its potential:

1. Data Chaos and Security Concerns

Copilot is only as smart as the content it can access. Many organisations, however, struggle with outdated, fragmented, or unsecured data scattered across platforms like SharePoint, OneDrive, and Teams. Gartner notes that only 27% of businesses have mature data management practices, making sensitive data exposure a real and significant concern.

2. Lack of Governance and Access Control

Without clear role-based governance, Copilot may unintentionally surface confidential or inappropriate content to the wrong people. Proper access controls ensure Copilot provides relevant, contextually appropriate information, significantly reducing the risk of unintended exposure and compliance breaches.

3. Licensing Confusion and ROI Pressure

Copilot’s enterprise licensing model can lead to unexpected costs and complexity. Gartner reports that Copilot licensing can add about 83% to existing Microsoft licensing expenses, intensifying the pressure to demonstrate clear ROI. Many organisations lack a well-defined roadmap to achieve measurable returns, making it harder to justify investment.

4. Limited Staff Enablement

Contrary to common assumptions, Copilot is not plug-and-play. Employees require targeted training, real-world examples, and continuous support to effectively leverage its capabilities. Gartner’s research found that without structured enablement, Copilot adoption rates plummet by as much as 60%.

5. Shadow AI and Fragmented Adoption

If Copilot implementation isn’t managed effectively, teams often resort to their own AI tools. This shadow AI usage leads to fragmented adoption, inconsistent standards, and significantly elevated security risks. Gartner highlights that nearly half of businesses face significant delays due to concerns over unmanaged AI and fragmented tool adoption.

Proactively addressing these challenges is essential. Without careful planning, Copilot risks becoming another underutilised technology investment. So, what does effective planning look like in practice?

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What a Successful Copilot Adoption Strategy Looks Like

Rolling out Microsoft 365 Copilot effectively requires clear steps and structured groundwork. Here's how you can ensure your organisation is ready for Copilot from day one:

1. Data readiness

  • Review your Microsoft 365 environment thoroughly to identify outdated, duplicate, or non-compliant data.
  • Clean up permissions and consolidate data where possible to ensure Copilot can access the right information quickly and securely.
2. Governance in place
  • Clearly define who has access to sensitive data and the content Copilot can interact with.
  • Establish and communicate responsible AI use policies and implement strong audit controls to minimise security and compliance risks.
3. User enablement
  • Provide contextual, role-specific training based on real-life scenarios relevant to different teams.
  • Create prompt libraries for common use-cases and assign "Copilot champions" to support ongoing user engagement and success.
4. Use case roadmap
  • Identify and clearly define value-generating use cases for core departments such as sales, HR, and operations.
  • Use these targeted scenarios to build organisational confidence and clearly demonstrate measurable results.
5. Phased Rollout
  • Begin with a pilot group of users who can provide feedback and insights on usability, value, and any unforeseen issues.
  • Refine your approach based on feedback to ensure a smooth organisation-wide rollout, avoiding the pitfalls of a premature large-scale deployment.

Following this structured approach positions your organisation to maximise Copilot’s potential, turning hype into tangible, strategic benefits.

Copilot success starts with preparation

Microsoft 365 Copilot can dramatically boost your productivity, but only if you have the right foundations in place. Without robust data management, clear governance, and proper user enablement, Copilot may amplify existing issues rather than solving them.

At The Missing Link, we partner with you to build tailored adoption plans that align with your unique AI strategy. Our specialists develop comprehensive governance frameworks, guide your data readiness, and deliver targeted training that enables your teams to use AI tools like Copilot responsibly, securely, and effectively.

To understand exactly what’s needed for a successful rollout, download our e-book. It offers practical, actionable steps to prepare your organisation and fully unlock Copilot’s potential.

Ready to get started? Contact our team today for a personalised assessment of your AI readiness and governance strategy.

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Author

Matt Dunn

AI is changing the way businesses operate, and as Head of AI & Automation at The Missing Link, I help organisations harness its full potential. With a background in commercial consulting and intelligent automation, I’ve guided companies in streamlining operations, reducing inefficiencies, and embracing AI-driven innovation. Before joining The Missing Link, I led an automation start-up to profitability and have since trained over 2,000 professionals in generative AI, including Microsoft Copilot and ChatGPT. I’ve also authored books on prompt engineering. When I’m not exploring AI’s capabilities, you’ll find me enjoying yoga, golf, or making my daughters laugh.