AI adoption is accelerating. But is your organization ready to manage the risk?
Your employees may already be using ChatGPT, Microsoft Copilot and other AI tools to write emails, summarize documents, analyze information, create presentations and improve productivity. With the rise of these technologies, AI governance has become an essential consideration for modern organizations.
That’s not necessarily a problem.
In fact, AI can be a powerful business tool.
The bigger question is:
Do you know what information your employees are putting into those tools?
AI Is Moving Into the Workplace
AI adoption among Canadian businesses continues to grow rapidly.
According to Statistics Canada, 19.2% of Canadian businesses reported using AI to produce goods or deliver services in 2026, up from 12.2% in 2025 and just 6.1% in 2024.
Employees are finding ways to use it because it can save time, improve productivity and make everyday work easier.
But there is a potential problem developing alongside that adoption.
Shadow AI
An employee needs to summarize a confidential document.
They copy and paste it into an AI tool.
A sales employee wants help responding to a customer.
They upload an email.
Someone needs to analyze a spreadsheet.
They submit it to an AI application.
The employee’s goal is productivity—not putting the company at risk.
But the organization may not know:
- What information employees enter into AI tools
- Which AI tools employees use
- Where AI providers process the information
- How AI providers store the information
- Who can access the information
- Whether AI providers use the information to train their models
- Whether IT or security teams have approved the tool
This is Shadow AI—AI being used within an organization without formal approval, visibility or governance.
AI Governance Doesn’t Mean Saying “No”
The answer isn’t to tell employees they cannot use AI.
Instead, organizations need to establish some basic guardrails.
Think of AI governance as answering five simple questions:
1. What AI tools are we using?
Start with visibility.
You may already have AI built into applications your organization uses every day.
Create an inventory of AI tools being used and identify which ones are approved.
2. What information can employees put into AI?
This may be the most important question.
Employees should clearly understand what information is appropriate for AI tools—and what should never be entered.
For example:
Think twice before entering:
- Confidential company information
- Customer information
- Employee information
- Financial information
- Contracts
- Passwords or credentials
- Sensitive operational information
3. Who approves new AI tools?
An employee may find a tool that solves a problem perfectly.
Before it becomes part of the business workflow, however, someone should evaluate:
- Security
- Privacy
- Data retention
- Access controls
- Vendor practices
- Where data is processed
4. Are we protecting access?
AI should be treated like any other business application.
Organizations should consider:
- Multi-factor authentication
- User permissions
- Identity management
- Logging and monitoring
- Data protection
- Endpoint security
AI governance shouldn’t exist separately from your cybersecurity strategy.
5. Have we trained our employees?
Employees need to understand why the rules exist.
A short AI awareness program can cover:
- What AI can and cannot do
- What information should never be entered
- Which tools are approved
- How to recognize sensitive information
- What to do if information is accidentally shared
- Who to contact when they want to use a new AI application
The Real Risk Isn’t AI
The risk is unmanaged technology.
Most organizations already have IT management processes for managing applications, users, data and cybersecurity.
AI should fit into those same processes.
The goal isn’t to slow innovation.
The goal is to give employees a safe way to innovate.
A Simple Place to Start
If your organization is already using AI, ask these three questions:
1. What AI tools are employees using today?
2. What company or customer information is going into those tools?
3. Do employees know what they are—and are not—allowed to enter?
AI adoption is happening quickly. The organizations that benefit most will be the ones that don’t simply adopt AI—but adopt it responsibly.
AI Governance: Innovation With Guardrails
You don’t have to stop AI. You need to manage it.
Next Dimension helps mid-sized organizations build, secure and manage their IT environments. If you’re not sure where your organization stands with AI governance, talk to your Next Dimension team about where to start.