Many business leaders believe their organisation hasn’t started using AI yet. However, a few conversations often reveal a different reality.
One employee is using ChatGPT to help draft emails. Another is summarising meeting notes with an AI tool. Someone else has found a browser extension that speeds up content creation. Before long, it becomes clear that AI is already part of the business, even if it hasn’t been formally adopted.
That shouldn’t come as a surprise. When people discover a tool that helps them work more efficiently, they’re naturally going to explore it. If it saves time and makes day-to-day tasks easier, it quickly becomes part of their routine.
The challenge isn’t usually the technology itself. The challenge is that nobody has stopped to define the boundaries.
Consider a simple scenario. A team member receives a lengthy customer email and pastes it into a public AI tool to help draft a response. The reply arrives in seconds and saves valuable time. The next day they do the same thing. A week later they’re uploading a proposal to generate a summary. A month later, a colleague is using a different AI platform to analyse data from a spreadsheet.
At no point does anyone feel they’re taking a risk. They’re simply trying to work more efficiently and make better use of the tools available to them.
The problem is that customer information, financial data, internal documents and business plans can gradually find their way into systems that haven’t been reviewed, approved or governed by the business. Not because people have bad intentions, but because they’re focused on being productive.
AI is also spreading through organisations in a way that’s very different from most business technology.
A new CRM platform typically goes through a formal purchasing and approval process. An accounting package is usually researched, discussed and signed off before anyone uses it. AI tools are different. They can be discovered during a lunch break, trialled within minutes and adopted immediately if they prove useful.
By the time leadership teams start discussing an AI policy, employees may already have their preferred tools and established ways of working.
That can lead to difficult conversations. If someone genuinely believes a tool is helping them do their job more effectively, they may struggle to understand why they’re suddenly being asked to stop using it. From their perspective, they’re solving a problem, not creating one.
That’s why the conversation about AI shouldn’t begin with restrictions. It should begin with awareness.
Businesses that take the time to understand which AI tools are already being used are in a much stronger position to guide adoption effectively. Open discussions about where information is being shared, which tools are approved, and what data should never leave secure systems allow organisations to balance innovation with good governance.
The goal isn’t to stop people benefiting from AI. It’s to make sure those benefits are realised safely and responsibly.
For organisations that have never asked employees which AI tools they’re using, the answers may be surprising. More importantly, those answers can provide the perfect starting point for building a practical and effective AI strategy.