List what company data I must not enter into an AI tool
A clear red, amber, and green guide to which of your work data can go into a specific AI tool, and on what conditions.
The prompt
Help me work out which company data I can and cannot put into a specific AI tool.
The AI tool and version: [e.g. "free consumer chatbot", "enterprise Copilot licensed by my company", "a browser plugin"]
What I know about how it handles data: [PASTE the relevant terms, admin settings, or IT guidance - training on inputs, retention, where data is stored - or say "unknown"]
My company's AI or data policy: [PASTE key rules or data classification levels, or "none I know of"]
My role and the data I typically handle: [e.g. "HR business partner - employee records, salary data, investigation notes"]
What I want to use the tool for: [TASKS]
Return:
1. A table: Data type | Example from my work | Red (never enter) / Amber (only if redacted or approved) / Green (fine) | Reason.
Cover at least: personal data about employees or customers, special-category data (health, ethnicity, etc.), financials not yet public, client or partner confidential information, contracts and legal advice, credentials and keys, source code, M&A or strategy plans, security details.
2. For each Amber item: the condition that makes it acceptable (redaction, an approved tool, a manager or legal sign-off).
3. Safe ways to still get help: placeholders, synthetic examples, summaries instead of raw data.
4. Questions I should ask IT, security, or legal where the tool's data handling is unclear.
Where you do not know how the tool handles data, say so and treat it as the stricter case. This is general guidance - my company's policy and its IT, security, and legal teams have the final word.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Working with AI prompts
What to fill in
- TASKS
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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