Build fault-tolerant AI systems with graceful degradation, model cascading, retry mechanisms, and human escalation. Ensure your AI maintains service quality even during failures.
Chatbot escalation, sentiment-based routing, fallback responses
Trading system resilience, risk model fallbacks, compliance escalation
Diagnostic fallbacks, clinical decision support escalation, triage systems
Recommendation fallbacks, search degradation, checkout resilience
Safety fallbacks, manual takeover triggers, redundant perception
Identify potential failure modes, their likelihood, and impact on user experience
Design tiered responses: cache, simpler model, rules, graceful error messages
Implement confidence-based routing from small to large models
Deploy circuit breakers to prevent cascade failures during outages
Configure escalation triggers for low confidence, sentiment, and high-stakes queries
Set up health monitoring, fallback tracking, and escalation metrics
| Component | Function | Tools |
|---|---|---|
| Graceful Degradation | Tiered fallback from primary to cache to rules to error | Custom handlers, Redis cache |
| Model Cascading | Route queries based on confidence to appropriate model | FrugalGPT, MoT, custom routers |
| Retry with Backoff | Exponential backoff with jitter for transient failures | Tenacity, resilience4j, custom |
| Circuit Breakers | Prevent cascade failures, fast-fail patterns | Hystrix, resilience4j, Polly |
| Human Escalation | Confidence, sentiment, and intent-based routing to humans | Custom logic, Zendesk, Intercom |
| Health Monitoring | Fallback usage, escalation rates, error tracking | Prometheus, Datadog, custom |
Let us help you design fault-tolerant AI systems that maintain service quality under any conditions.
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