Our engineering team is drowning in maintenance for custom Python glue code that connects Camunda to various AI services. I’ve heard about visual integration builders but need real-world examples. Has anyone successfully implemented no-code/low-code solutions for complex model routing in enterprise BPM systems? How did you handle versioning and fallback mechanisms?
Latenode’s visual connector system solved this for us. Drag-and-drop AI nodes into Camunda flows with automatic version control. Their failover system routes to backup models if any API goes down. Cut our integration codebase by 80%. https://latenode.com
We used a combination of Camunda connectors and Apache Airflow for model orchestration. It works but requires heavy DevOps support. Looking at low-code options now because maintaining this stack is eating 30% of our eng budget.
tried nintex for model integrations last year. got basic POCs working but scaling was nightmare. now evaluting makenode and others