Artificial intelligence (AI) is quickly making its way into the workplace, and for many businesses in Vancouver, Microsoft 365 (M365) Copilot is one of the first AI tools being introduced. This is largely due to organizations already storing their data with M365, making Copilot a natural next step, especially for businesses where cybersecurity is a top priority.  

However, as AI adoption ramps up, many BC businesses are finding that AI licensing costs can grow faster than expected. Not because the tool isn’t valuable, but because it’s being rolled out without clear visibility into who actually needs it, how it’s being used, and where it’s delivering real impact.

Most businesses don’t notice this issue immediately. Licenses get assigned broadly, adoption varies across teams, and costs continue quietly in the background. That’s where the hidden cost begins.  

Before expanding access, it’s worth stepping back. An AI assessment helps businesses understand where Copilot will actually create value, where it may not be necessary, and whether the organization is truly ready from a data, security, and usage perspective.  

The Hidden Cost of Microsoft 365 Copilot Licenses

At a high level, expanding access to Microsoft Copilot makes sense. It removes friction and allows teams to explore how AI can support their work. However, once companies started rolling out AI, we have noticed usage varies more than most expect.

Some employees rely on it daily. Others use it occasionally. And some never use it at all or aren’t sure where
to start.  

This is where costs start to increase.

Because licensing doesn’t adjust based on usage, once it’s assigned, it continues to be billed, whether it’s delivering value or not. In many cases, businesses also begin layering additional AI tools such as Claude or ChatGPT, on top of Copilot, which can further increase costs without clear oversight or governance.  

For example:

• Copilot is approximately $40 per user, per month  
• For a 50-person team, that’s $24,000 per year  
• If even 30% of users aren’t actively using it, that’s over $7,000 annually spent with no return  

It’s not something most businesses notice day-to-day, but over time, it adds up quickly.

In most cases, it isn’t technology that’s the issue, but instead it’s how the licenses are rolled out broadly, and no one goes back to ask: “Is this actually being used?”

The Hidden Costs Most Businesses Miss

Unused licenses are only part of the picture. What we’re seeing across Vancouver businesses is a broader pattern, where costs stack in ways that aren’t immediately visible. Some of the missed costs are:  

1. Licenses assigned to the wrong roles

Copilot is often rolled out across the entire organization, even though its value is usually concentrated in specific roles. Not every position benefits equally, but licensing is often treated that way.

2. Inactive or overlooked accounts still being billed

Licenses assigned during rollout often remain active long after roles change or employees leave. Without regular review, these costs continue quietly in the background.

3. Low-value usage that doesn’t justify the cost

Some users technically “use” Copilot, but only for small tasks that don’t meaningfully improve productivity. The tool is active, but the return isn’t there.

4. Overexposed data through Microsoft 365 and SharePoint

Copilot surfaces information based on existing permissions. If your SharePoint or Microsoft 365 environment isn’t structured properly, it can unintentionally expose sensitive data to the wrong people.

IT companies like Red Rhino can help audit permissions, provide reporting on potential data exposure risks, and implement sensitivity labels to better protect sensitive information from being surfaced through AI tools.  

5. No clear ownership of adoption or ROI

After rollout, there’s often no one responsible for evaluating whether Copilot is being used effectively, or at all. Without accountability, costs continue without optimization.

Individually, these are easy to miss, but together, they create a system where businesses continue investing in AI, without a clear understanding of what they’re actually getting in return.

How to Identify AI Licensing Waste in Microsoft 365

Most organizations don’t set out to overspend on AI. It happens gradually through small gaps in visibility that are easy to overlook when everyone is focused on day-to-day operations.

Here are some of the most common indicators:

• Licenses assigned during initial rollout that haven’t been revisited in months  

• Employees with access to Copilot who rarely or never use it  

• Users with access who aren’t in roles that benefit from AI tools  

• “Active” users who aren’t generating meaningful productivity gains  

• No regular review of licensing, usage, or adoption  

• Limited visibility into how Copilot is actually being used across teams  

Individually, these may not seem like major issues, but together, they point to a larger problem: Licensing decisions are being made once, and rarely revisited.

Reducing M365 Copilot Costs Without Sacrificing Value

Once you have visibility into how Copilot is being used, the next steps become straightforward. Reducing cost doesn’t mean limiting access, it just means aligning licensing with real usage and real value.

Reallocate based on usage

Shift licenses from inactive users to employees who rely on Copilot in their day-to-day work. In some cases, businesses may also find that certain employees don’t require the full M365 Copilot license. For example, if someone primarily uses AI-generated meeting notes and recap features within Teams, a lower-cost Team Premium license may be a more appropriate fit.  

Introduce intent before access

Before assigning a license, ask: “What will this be used for?”
This creates clarity without slowing teams down.

Establish a review rhythm

AI usage evolves over time. A quarterly review is often enough to ensure licensing stays aligned with business needs.

Focus on where value exists

Not every role needs Copilot. Identifying where it consistently drives productivity leads to better long-term decisions.

In some cases, organizations may also benefit from alternative AI approaches rather than assigning a full Copilot license to every employee. For example, IT teams like Red Rhino can build custom Copilot chatbots for specific departments or entire organizations using token-based pricing instead of per-user licensing. This allows businesses to pay based on actual AI consumption rather than fixed monthly licenses for every employee.  

The goal isn’t to reduce access, but to ensure that what you’re paying for is actually delivering value.

Why an AI Assessment Matters Before You Invest in Copilot

An AI assessment is how Vancouver businesses avoid overpaying for tools like Microsoft 365 Copilot before costs start to build. It provides a clear view of your Microsoft 365 environment, so decisions are based on real data, not assumptions.

It’s also important to evaluate data exposure, permissions, and overall risk before enabling AI tools, since Copilot can surface information across your M365 environment.  

It helps you understand:

• Who should have access to Copilot, and who shouldn’t  

• Which users are active across Microsoft 365 and SharePoint  

• Whether inactive accounts are still being licensed  

• Where permissions may expose sensitive data  

• How to align licensing with actual business use  

Without this level of visibility, it becomes easy to:

• Over-assign licenses  

• Pay for inactive or low-value users  

• Introduce unnecessary risk through poor data access  

An AI assessment brings that clarity upfront, so you can move forward with confidence and avoid unnecessary costs from the start.

Next Step: Get Clear Before Costs Continue to Build

Most businesses already have the data they need, they just haven’t looked at it closely.

And while the financial impact isn’t always obvious day-to-day, these costs tend to build quietly over time. A practical next step isn’t to make immediate changes, but to get clear on what’s actually happening in your environment.

Start with:

• Reviewing who currently has Microsoft Copilot licenses  

• Looking at how those licenses are being used  

• Identifying where cost and value don’t align  

From there, the path becomes straightforward:

• Reallocate licenses where they’ll have the most impact  

• Remove what isn’t being used  

• Consider shared or pooled AI tools for teams with lighter usage needs

• Keep what’s working