Shadow IT is a familiar idea: employees using apps IT has not approved. Shadow AI is the same thing with higher stakes, because the most valuable data is what goes into AI tools.
What it looks like
A salesperson pastes a whole client proposal to get a better email. A lawyer uploads a contract to get a summary. A developer sends part of the codebase. Each has good intentions and each uses a personal account.
The risks
- Data: confidential information ends up in tools with no business agreement.
- Costs: dozens of individual subscriptions nobody tracks.
- Quality: everyone uses a different tool and approach, so results are inconsistent.
- Knowledge: good prompts and solutions stay in personal accounts and leave with the employee.
The fix: a controlled AI workspace
Instead of a ban, the company gives employees one tool that is better than what they use privately, with control:
- access to all leading models in one place,
- budgets and limits per user and team,
- shared company and project context,
- usage and cost tracking,
- rules on which models and connectors are allowed.
That is exactly why our team built Intrascope.
First steps
- An anonymous survey: who uses which tools and for what.
- A short AI policy: what is and is not allowed.
- An approved tool for everyone.
- A one-hour training session for the team.
Also read data security and AI. For introducing AI into your company, send an inquiry.
Frequently asked questions
How do I know if we have Shadow AI?
The fastest way is an anonymous employee survey. In most companies more than half of employees use some AI tool, often without management knowing.
Should we ban ChatGPT at work?
A ban usually just hides the problem. It is better to provide an approved tool with control and clear usage rules.
Tell us what slows you down
We reply within one business day. The first call and the estimate are free.
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