Before every paste, a ten-second question: would I put this on a postcard to a stranger? This playbook is the pocket data-classification drill — four categories of never-paste data, the redaction and synthesis techniques that get you AI help anyway, and the habit that makes the check automatic.
Workflow area: Responsible Use · Tier: Foundation · Hands-on time: ~25 minutes
The most common AI incident in offices is not a hallucination — it is an employee pasting something confidential into a personal chatbot account because the deadline was close and the tool was open. The fix is not abstinence; almost every sensitive-shaped task has a safe version. The fix is a pre-flight: classify what you are holding, strip or fake what must not travel, then prompt freely. Ten seconds, every time, forever.
Learn the four never-paste categories. Commit these to memory — they cover nearly every office incident:
Run the ten-second triage on what you are holding. Three questions, in order: Is any of the four categories present? If no — proceed. If yes — does my company have an approved tool for this data class (M365 Copilot or Gemini for Workspace in the company tenant, an internal AI gateway)? Use that. If no approved tool — redact or synthesize (steps 3–4), or do the task without AI. That is the entire decision tree.
Redact: same text, sensitive parts replaced. For tasks on a real document — summarize this complaint, draft a reply to this email — swap identifiers for consistent labels before pasting:
Original (never paste):
"Ramesh Gupta (a/c 4402-8871, phone 98xxx) is threatening to
escalate to the ombudsman over the ₹42,000 double-debit on his
home-loan EMI on July 3."
Redacted (safe to paste):
"[CUSTOMER] ([ACCOUNT], [PHONE]) is threatening to escalate to
the ombudsman over a [AMOUNT] double-debit on his loan EMI on
[DATE]."
Then prompt: "Draft an empathetic first response to this
complaint. Keep the [PLACEHOLDERS] where personal details
belong — I will fill them after."
Keep labels consistent ([CUSTOMER] every time, not [NAME] then [CLIENT]) so the model tracks who is who — the reply comes back with placeholders positioned exactly where you re-insert the real details, outside the tool.
Synthesize: same shape, fake specifics. For tasks about a pattern rather than a document — help with a salary-band analysis, a tricky HR situation, a formula over financial data — build a structurally identical fake:
"I have a spreadsheet of 40 employees with columns: level
(L1-L5), department, current salary, proposed salary. I need a
formula flagging anyone whose proposed raise exceeds 15% or
whose new salary crosses their level's band maximum (bands in
a second sheet). Here are 5 rows of FAKE data in the real
structure: ..."
The model solves the structure; the real numbers never leave your workbook. This one technique safely unlocks most "but my task IS the sensitive data" cases.
Know the no-prompt zone, and make the drill visible. Some matters stay human even with an approved tool and redaction: active legal disputes, disciplinary and termination decisions, anything under regulator or auditor scrutiny, M&A. For everything else — run the triage aloud with your team for a week ("category 1, using the tenant tool", "redacting, then pasting") until it is muscle memory, and put the four categories on a sticky note where the pasting happens.
Deleting a chat does not un-send a paste, and "the model probably doesn't train on it" is not a control. The only data that is certainly safe in a prompt is data that was never in it — redact first, paste second, always.
Privacy discipline is not the tax on using AI at work — it is the license. The colleague who can say "here's how to do that safely" gets to use these tools on everything; the one who pastes first and thinks later gets the tools banned for the whole floor.