A curated collection of production-ready AI governance and operations playbooks for managing reliability, safety, data quality, monitoring, and prompt changes.
A public repository containing practical, production-oriented playbooks for operating and governing AI systems under the AUMI (Human-Centered AI Responsibility Framework).
These playbooks focus on reliability, safety, data integrity, monitoring, and prompt governance in real-world AI deployments.
This repository provides a focused collection of AI operations and governance playbooks.
It is designed to help teams move from high-level Responsible AI principles to concrete, executable processes.
The content here reflects hands-on experience with AI system design, evaluation, monitoring, and incident management.
This repository contains five core governance playbooks:
AUMI-Playbooks/
│
├── playbook-01-model-performance-degradation.md
├── playbook-02-data-quality-incident.md
├── playbook-03-hallucination-safety-incident.md
├── playbook-04-monitoring-alerts-response.md
├── playbook-05-prompt-failure-regression.md
│
└── README.md
Each file is a standalone, reusable operational guide.
| ID | Playbook | Focus Area |
|---|---|---|
| P1 | Model Performance Degradation | Model quality and reliability |
| P2 | Data Quality Incident | Data integrity and pipelines |
| P3 | Hallucination & Safety Incident | Safety, ethics, and compliance |
| P4 | Monitoring Alerts Response | System observability |
| P5 | Prompt Failure & Regression | Prompt change management |
This repository is useful for:
- AI / MLOps engineers
- AI product managers
- Governance and risk teams
- Compliance professionals
- Researchers and students
- Public sector and enterprise teams
Anyone working with production AI systems can adapt these playbooks.
You can use these playbooks to:
- Build internal AI incident response processes
- Standardise quality and safety controls
- Train AI operations teams
- Support audits and reviews
- Improve system reliability
Organisations are encouraged to adapt the content to their regulatory and operational context.
This is a curated governance reference.
Contributions are welcome if they:
- Improve clarity and usability
- Strengthen governance practices
- Align with AUMI principles
Please see CONTRIBUTING.md before submitting changes.
This repository is provided for educational and reference purposes only.
It does not constitute legal, regulatory, or professional advice.
Users remain responsible for compliance in their jurisdictions.
For questions, suggestions, or collaboration:
Open an issue or submit a pull request.