Start the Conversation with Sentrix
Submit your email and a member of our team will be in touch with you.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Most employees are using some form of generative AI within their daily workflows. For businesses using Microsoft 365, Copilot takes this use of generative AI to the next level. Copilot for Microsoft 365 introduces AI directly into the apps your teams rely on most, delivering suggestions, summaries and automation capabilities designed to help people work more efficiently.
From drafting emails and PowerPoint slides to surfacing relevant files across SharePoint and summarising Teams meeting transcripts, Copilot is being positioned as a transformative upgrade to how employees work within the Microsoft 365 ecosystem. But despite the hype and promise, the reality is that not every user will experience immediate benefit, and not every team will be ready at the same time.
Like most enterprise-grade innovations, successful adoption requires more than just enabling a feature. It demands strategic deployment, practical alignment with employee needs and clarity over where real value is likely to emerge. That is why businesses considering Copilot must approach licensing decisions carefully. Fully scaled rollouts can be expensive, and without proper user targeting, much of the investment can go unused or underappreciated.
This is where precision matters. Selecting the right employees to receive Copilot licences at the outset can significantly increase uptake, reveal strong use cases and create a clear path to broader adoption across the business. At the same time, gathering data around existing usage and engagement with Microsoft 365 helps you make more informed, confident decisions.
Let us explore what that process could look like and how the right analytics tools can support a smoother, more cost-efficient path to Copilot deployment.
Microsoft 365 Copilot is designed to assist users in completing tasks faster, reducing manual workload and boosting creativity. It achieves this by working across applications like Word, Outlook, Excel and Teams to understand context, prompt action and even generate starting points for content creation.
While these features can be extremely helpful, their relevance depends heavily on the type of work a user performs. Knowledge workers involved in drafting documents, leading meetings or analysing data are likely to see the benefits early. Others in operational, customer-facing or administrative roles may find fewer use cases that align naturally with their responsibilities.
Providing Copilot licences to everyone without understanding this context introduces financial risk. Microsoft Copilot carries an additional per-user cost, meaning businesses that deploy it indiscriminately may create significant licensing expenses without immediately receiving value in return. Unused licences or underused features become a drain, and excitement about Copilot’s potential can quickly turn into questions about its return on investment.
That is not to say these roles will never benefit from AI. Many will. However, allowing early adoption to be guided by insight rather than assumption ensures your business learns quickly what the real-world impact looks like. From there, rollout can be focused on where the AI assistant truly amplifies productivity and where further planning or training is required.
A measured approach to Copilot adoption starts with identifying which users are most likely to engage with and benefit from its capabilities. This means looking not just at seniority or department, but at how individuals interact with Microsoft 365 tools.
For example, the ideal early Copilot candidate:
· Regularly builds or edits Word documents and PowerPoint presentations
· Uses Excel to review or manipulate data
· Participates in frequent meetings and takes notes in Teams
· Manages high volumes of emails or customer communications
· Frequently searches across connected data sources or shared content libraries
These behaviours indicate an existing workflow that could be enhanced by Copilot’s functions. Employees performing these actions consistently are far more likely to gain immediate value, accelerate their own workflows and share feedback that helps shape company-wide usage models.
Critically, these insights may not always align with assumptions. It is easy to believe certain departments are more AI-ready simply because of their focus, but the actual patterns often show otherwise. Usage data brings objectivity and clarity to these decisions at a time when every licence counts.
Rather than relying on manual reviews or best guesses, we help businesses use SCOUT for Microsoft 365 to build a picture of who their Copilot champions are likely to be. SCOUT provides fine-grained, read-only insight into how users are engaging with Microsoft 365 today, which services are used most frequently, and where existing licence assignments may not reflect actual behaviour.
This includes visibility across:
· Application usage by user and department
· Frequency of interactions with Word, Outlook, Excel and Teams
· Meeting volumes and Teams collaboration activity
· Patterns of data access and file creation
· Licence tiers and what each user is entitled to versus their usage
With this context, we are able to identify your strongest early adopters and recommend which users will likely get the most value from Copilot licences. At the same time, if any users already have access to Copilot, SCOUT can help confirm whether those licences are being used in ways that justify their cost or if there are patterns indicating underutilisation.
This insight allows you to correct course early, reassign licences where necessary and measure what success looks like in the first phase of implementation.
Identifying the right users is only one part of a successful Copilot journey. To maximise return on investment, early adopters should also become internal champions. Encouraging them to document their experiences, share time-saving techniques or even host informal sessions with colleagues can help spread awareness and expand use cases throughout the organisation.
By observing early usage trends and outcomes, you can gather tangible examples of value. This might be an employee who streamlines weekly report creation, a manager who summarises project notes more effectively, or a marketer who drafts campaign materials in half the usual time. These insights build confidence in the platform and give others a clear picture of how to integrate AI into their roles.
With the visibility that SCOUT provides, these successes can be tracked, benchmarked and compared over time. Whether you are looking at Copilot adoption per department or overall engagement across your active users, having ongoing visibility creates a constructive feedback loop that keeps your rollout grounded in reality rather than expectation.
Rolling out Copilot for Microsoft 365 is a significant step in future-proofing how your teams work. But the value will not appear automatically. It depends on whether the right people have access, whether their needs align with AI capabilities and whether your business is prepared to support adoption with guidance, measurement and iteration.
By combining user-level data from SCOUT with a managed deployment strategy, we help identify where to focus first and how to expand effectively. We bring clarity at the licensing level, context around usage trends and support for adjusting your approach as the platform becomes integrated into daily tasks.
If you are preparing to introduce Copilot or want greater clarity on how it is being used today, the combination of real usage insights and targeted implementation support can make all the difference. By starting with the right employees and tracking outcomes from the beginning, you will be better positioned to scale Copilot with confidence and control. If you would like to explore what that could look like for your business, contact us to find out more.