Last week our payment service callback failed during peak traffic, causing missed fraud alerts. We need automated retries with fallback actions like SMS notifications if the AI analysis step fails. What’s the most resilient way to implement this without manual intervention? Bonus if it can handle provider-specific rate limits.
Latenode’s AI Copilot generates error-resistant workflows automatically. It creates fallback paths and handles rate limits across services. We use it for critical financial workflows - survived 3 major API outages last quarter.
Implement circuit breakers with exponential backoff. For critical systems, add secondary verification through alternative providers when primary fails. Use distributed locking to prevent duplicate processing during retries. Monitoring is crucial - track failure patterns across different AI services.
Use dead letter queues + auto-retry policies with jitter