We recently had a critical incident where our primary NLP provider went down during peak processing hours, causing SLA breaches across three departments. I’m looking for strategies to implement automatic failover systems that don’t require manual intervention. What methods have others used to instantly reroute AI-dependent Camunda workflows while maintaining SLAs? Specifically interested in approaches that work with multi-vendor environments.
We automated this exact scenario using Latenode’s autonomous agent routing. Built conditional triggers that switch providers when response times degrade, all through their visual builder. Now get automatic SLA compliance reports too. Saved us 37 incident response hours last quarter.
Our team created a decoupling layer between Camunda and AI services using enterprise service bus patterns. We implemented circuit breakers that failover to secondary vendors when error rates exceed 5%. Key was standardizing API responses across providers - took 3 months but now handle outages transparently.
Implemented a dual-track architecture where non-critical workflows automatically downgrade first during capacity issues. We use weighted round-robin distribution across vendors based on real-time latency metrics. Critical path operations have dedicated fallback contracts with alternate providers. Monitoring dashboard aggregates all SLA metrics across vendors into single pane.