Businesses must be careful about what they share in an AI tool, even in a conversation that they thought is to be private. A setting failure can turn something meant for one person into something searchable by anyone, and once that happened, you can't fully undo it. The safer approach is treating sensitive client information, financial details, and proprietary business data as things that shouldn't go into an AI conversation in the first place. This is exactly the kind of question our AI governance guidance at Calus is built to help businesses with. How your team is using AI, what data is involved, and what policies you have in place to protect your business.

If you're building critical business processes on brand new AI capabilities, you're essentially beta testing with your livelihood. Sometimes it makes sense to wait six months and let other people discover the restrictions. Now, let's talk about the edge cases and nuances, because this isn't a simple "avoid powerful AI tools" situation. Some tools are much safer than others, and understanding why will help you make better choices. Tools that use AI for analysis and recommendations are generally safer than direct action. Claude analyzing your emails to suggest priorities is less likely to get banned than Claude actually sending emails on your behalf.