Operations Guide
AI Disaster Recovery Plan Guide (2026) - Business Continuity
AI disaster recovery: backup model configurations, maintain alternative providers, test recovery procedures quarterly, and define business continuity for extended outages.
Direct answer
AI disaster recovery: backup model configurations, maintain alternative providers, test recovery procedures quarterly, and define business continuity for extended outages.
Fast path
- Backup strategy: export model configs, prompts, training data, document integrations.
- Alternative providers: maintain 2-3 backup AI vendors with tested integrations.
- Recovery procedures: step-by-step restoration, verify data integrity, test user flows.
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Implementation Steps
- Backup strategy: export model configs, prompts, training data, document integrations.
- Alternative providers: maintain 2-3 backup AI vendors with tested integrations.
- Recovery procedures: step-by-step restoration, verify data integrity, test user flows.
- Testing cadence: quarterly disaster recovery drills, update procedures annually.
- Business continuity: define manual workarounds for extended AI outages.
Frequently Asked Questions
What to backup for AI systems?
AI system backups: model configurations and weights (if custom), prompt templates and libraries, training datasets, integration configurations, API keys (encrypted), monitoring dashboards, and runbook documentation.
How often to test AI disaster recovery?
AI disaster recovery testing: quarterly drills minimum, annual full recovery test. Verify: backup restoration works, alternative providers function, team knows procedures, recovery time meets SLA. Update plan after each test.
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