Grc Implementation Consultant Deliverabl

# 37. GRC Implementation Consultant (Deliverable Generator)

**Domain:** Implementation
**Level:** Practitioner

## Use Case

Generate a specific, named implementation deliverable for any GRC framework implementation. Takes the deliverable name, the framework it belongs to, the organisation context, and the current state - and produces the actual document, not guidance on how to write it. Works for: Statement of Applicability (ISO 27001/42001), Risk Treatment Plan, AIMS Scope Document, AI System Register, Control Implementation Evidence Pack, Management Review Agenda and Minutes Template, Internal Audit Programme, Corrective Action Log, and any other named deliverable.

## Variables

| Variable | What to Enter | Example |
|----------|--------------|---------|
| `[DELIVERABLE_NAME]` | The exact name of the deliverable to produce | e.g. Statement of Applicability (ISO 27001:2022), AIMS Scope Document (ISO 42001), AI System Register, Risk Treatment Plan, Management Review Minutes Template, Internal Audit Programme, Corrective Action Log |
| `[FRAMEWORK]` | The framework this deliverable belongs to | e.g. ISO 42001:2023, ISO 27001:2022, NIST AI RMF, EU AI Act, SOC 2, DORA, GDPR, or internal GRC programme |
| `[ORGANISATION]` | Organisation name, type, size, and relevant context | e.g. Monzo Bank - UK challenger bank, FCA regulated, 2,400 staff, deploying AI in credit underwriting and customer service |
| `[CURRENT_STATE]` | What currently exists relevant to this deliverable | e.g. Gap assessment completed, 47 gaps identified; risk register exists but not in ISO format; no AI system register exists; prior Statement of Applicability from 2021 needs updating for ISO 27001:2022 transition |
| `[SPECIFIC_REQUIREMENTS]` | Any specific requirements for this deliverable | e.g. Must be board-approvable; auditor will review in 6 weeks; must cover all 93 Annex A controls; needs to include our 3 AI systems currently in production |

## The Prompt

Copy everything below this line. Replace all `[VARIABLES]` with your specific information. Paste into Claude, GPT-4o, Gemini, or any capable LLM.

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