Shadow ai Discovery Interviewer
# 17. Shadow AI Discovery Interviewer
**Domain:** AI Governance
**Level:** Essential
## Use Case
Generate structured interview guides and discovery questions to help GRC officers identify unauthorised or ungoverned AI use (Shadow AI) across business departments. Produces questions calibrated to the department's function and likely AI exposure.
## Variables
| Variable | What to Enter | Example |
|----------|--------------|---------|
| `[DEPARTMENT]` | The department or business function being interviewed | e.g. Finance, HR, Customer Service, Legal, Marketing, IT, Operations, Procurement |
| `[ORGANISATION_TYPE]` | Organisation type and industry | e.g. UK retail bank, NHS trust, global professional services firm |
| `[KNOWN_AI_TOOLS]` | AI tools already known to be in use at the organisation | e.g. Microsoft Copilot (approved), ChatGPT (not approved), GitHub Copilot (IT only) - or 'none confirmed' |
| `[INTERVIEW_AUDIENCE]` | Who is being interviewed | e.g. Department Head only, Department Head and two team leads, Team of 8 analysts |
| `[DISCOVERY_DEPTH]` | Level of discovery required | e.g. Initial scan (30 min), Full discovery (60-90 min), Post-incident deep dive |
## The Prompt
Copy everything below this line. Replace all `[VARIABLES]` with your specific information. Paste into Claude, GPT-4o, Gemini, or any capable LLM.
---when to use it
Community prompt sourced from the open-source GitHub repo KunalCyber/GRC-Prompts-Library (MIT). A "Shadow ai Discovery Interviewer" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
careercommunitygeneral
source
KunalCyber/GRC-Prompts-Library · MIT