AI at work: Why your business needs proper governance
Let me ask you a slightly uncomfortable question:
Do you really know which AI tools your team is using at work — and what information they’re feeding into them?
Most business owners and managers say yes. But when we look closer, the picture often changes.
Generative AI tools like ChatGPT and Gemini have become part of everyday work at speed. They help people work smarter — drafting emails, summarising documents, brainstorming ideas and solving problems more quickly.
The issue isn’t the technology.
It’s how fast it’s been adopted, without the right controls catching up.
AI use has surged — and it’s not slowing down
Recent research into how organisations use generative AI highlights just how quickly things have changed:
- AI usage inside businesses has tripled in a single year
- Staff aren’t just experimenting — they’re depending on AI daily
- Prompt volumes have skyrocketed, with some businesses sending tens of thousands of prompts every month
- At the highest end, usage reaches millions of prompts
On the surface, that looks like productivity gains.
Under the surface, it’s a growing governance problem.
The rise of “shadow AI”
Nearly half of employees using AI at work are doing so through:
- Personal AI accounts
- Unapproved or unsanctioned tools
This is known as shadow AI.
It means staff are uploading text, documents and data into systems the business:
- Doesn’t control
- Can’t monitor
- Can’t audit
That’s where the risk starts to creep in.
What data is really being shared?
When someone pastes information into an AI tool, they’re doing more than asking a question — they’re sharing data.
That data may include:
- Customer details
- Internal or confidential documents
- Pricing and financial information
- Intellectual property
- Usernames, passwords or other credentials
In many cases, this happens without anyone realising the exposure.
According to recent findings, incidents involving sensitive data being shared with AI tools have doubled year‑on‑year. The average business now experiences hundreds of these incidents every month.
A growing insider risk — without bad intent
Because personal AI tools sit outside company security controls, they’ve become a serious insider risk.
Not malicious insiders — but well‑meaning employees simply trying to work faster or do a better job.
This is where many organisations are caught off guard. AI risk doesn’t always look like an external cyberattack.
Sometimes, it’s a harmless‑looking copy and paste into the wrong field, at the wrong time.
Compliance risks you might not see coming
There’s also a clear compliance concern.
If your business:
- Handles customer or personal data
- Operates in a regulated environment
- Has internal information security policies
Uncontrolled AI use can quietly put you in breach — without anyone noticing until it becomes a real problem.
As sensitive information flows into unapproved AI platforms, data governance becomes harder to enforce. At the same time, attackers are increasingly using AI to analyse leaked data and launch more targeted, convincing attacks.
So what should businesses do?
The answer isn’t banning AI — that’s no longer realistic.
And it’s not pretending the risk doesn’t exist.
The answer is AI governance.
That means:
- Clearly defining which AI tools are approved for work use
- Setting rules around what information can and cannot be shared
- Putting visibility and controls in place to prevent silent data leakage
- Educating staff on AI risks in a practical, balanced way
AI is already part of how work gets done. Ignoring it won’t make it safer.
Governing it will.
If you’d like help putting the right AI policies in place or training your team on safe, responsible AI use, contact GZD — we’re here to help you protect your business while still getting the benefits of AI.
