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Human in The Loop Hitl Workflow Architec

GPTClaudeDeepSeek··334 copies·updated 2026-07-14
human-in-the-loop-hitl-workflow-architec.prompt
# 19. Human-in-the-Loop (HITL) Workflow Architect

**Domain:** AI Governance
**Level:** Practitioner

## Use Case

Design the workflow for how a human operator reviews, validates, and where necessary overrides an AI system decision. Directly implements ISO 42001 Annex A.9.2 (human oversight of AI systems) and EU AI Act Article 14. Produces a workflow specification ready for IT implementation and process documentation.

## Variables

| Variable | What to Enter | Example |
|----------|--------------|---------|
| `[AI_SYSTEM]` | The AI system requiring human oversight | e.g. Credit limit recommendation engine, AI-assisted claims triage, Automated HR screening tool, AI diagnostic support system |
| `[DECISION_TYPE]` | What decisions the AI system makes or influences | e.g. Recommends credit limit changes (financial impact up to GBP 10,000), classifies insurance claims by complexity and fraud risk, ranks job applicants for shortlisting |
| `[RISK_CLASSIFICATION]` | The risk level of this AI system | e.g. High-risk under EU AI Act Annex III, Limited risk, Internal use only / not customer-facing |
| `[HUMAN_OPERATORS]` | Who the human reviewers are | e.g. Credit underwriters (team of 12, 8-hour shifts), Claims handlers (distributed team, 24/7), HR business partners (8 people, office hours only) |
| `[VOLUME_AND_SLA]` | Processing volumes and time constraints | e.g. 400 AI recommendations per day, 2-hour SLA for customer notification; 150 claims per day, 24-hour triage SLA |

## 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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when to use it

Community prompt sourced from the open-source GitHub repo KunalCyber/GRC-Prompts-Library (MIT). A "Human in The Loop Hitl Workflow Architec" 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

productivitycommunitydeveloper

source

KunalCyber/GRC-Prompts-Library · MIT