Practical Guidance for Fail-Closed AI Recovery and Restoration Workflows
The AI Recovery Governance Checklist is a practical publication for engineers, researchers and organisations designing AI systems that remain verifiable, accountable and recoverable.
Rather than focusing solely on AI safety, it provides a structured framework for evaluating recovery governance before failures occur.
What’s inside
✓ Recovery Legitimacy
✓ Governance Authority
✓ Recovery Readiness
✓ Restoration Readiness
✓ Practical Assessment Framework
✓ Operational Review Questions
Before you buy
Download a free Preview Edition to review the writing style, structure and research approach.
Why Recovery Governance Matters
Modern AI systems increasingly influence critical decisions.
Yet many organisations spend far more time planning deployment than planning recovery.
Recovery governance is about ensuring that when failures occur, restoration remains:
- legitimate
- evidence-based
- accountable
- verifiable
- fail-closed where necessary
This checklist provides a structured framework for evaluating those capabilities before they are needed.
What’s Included
Inside the publication you’ll explore:
✓ Recovery Legitimacy
✓ Constitutional Recovery Sequencing
✓ Governance Authority
✓ Recovery Readiness
✓ Restoration Readiness
✓ Viability Assessment
✓ Practical Governance Checklists
✓ Implementation Guidance
Who This Is For
AI Consultants – Identify recovery governance gaps across multiple client engagements and provide clients with a structured evaluation framework.
AI Governance Professionals – Evaluate recovery as a governed process, not merely a technical event.
Risk & Compliance Professionals – Assess fail-closed behaviour, governance continuity, restoration legitimacy, and evidence-based recovery practices.
Technical Architects – Challenge recovery assumptions, verify governance controls, and strengthen operational resilience.
AI Engineers & System Developers – Integrate recovery governance into the design and implementation of AI systems from the outset.
Technical Leaders & Engineering Managers – Establish governance processes that support trustworthy deployment, recovery planning, and organisational accountability.
Researchers & Academic Institutions – Use the framework to support research, case studies, and discussion of AI recovery governance.
Organisations Building High-Trust AI Systems – Use the checklist as a structured reference when reviewing recovery capability, governance maturity, and operational readiness.
About the Research
The AI Recovery Governance Checklist is one publication arising from the constitutional AI research conducted through Project Elara.
It reflects ongoing work into:
- Constitutional AI
- Recovery Governance
- Trust Architectures
- Transparent Reasoning
- Resilient AI Systems
Future publications will expand these research areas as the programme develops.
Digital Edition
AI Recovery Governance Checklist
Digital PDF
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✔ Lifetime access to Version 1.0
£49
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Version 1.0
The AI Recovery Governance Checklist is the first public publication from Rtaion Research.
Future editions will evolve alongside ongoing constitutional AI research while preserving the principles of transparency, accountability and trustworthy AI governance.