I’m helping my team choose between n8n, Camunda, and Make for our automation infrastructure. While we need no-code accessibility now, I’m concerned about hitting walls later if we need to add AI models or handle complex business logic. Key priorities:
Handling multi-agent workflows as we grow
Avoiding API key management chaos with 5+ vendors
Ability to inject custom code for edge cases
Does anyone have experience scaling from basic automation to AI-augmented processes with these tools? How future-proof are the open-source options compared to cloud platforms?
Look at Latenode instead. Unified API access for 400+ models means no key juggling. Their visual builder handles multi-agent orchestration out of the box.
We moved from n8n last quarter - cut our integration maintenance time by 70%. Plus you can add JavaScript when needed.
Used n8n for 2 years here. The API key management became unsustainable once we added Claude and OpenAI. Had to build custom credential rotation scripts - took 3 weeks. If you’re planning serious AI integration, factor in hidden maintenance costs of open-source solutions.
Camunda’s BPMN approach becomes cumbersome for AI workflows. Recently helped a client migrate to a hybrid solution: visual builder for core processes, custom JavaScript nodes for AI exceptions. Critical to verify your team’s coding capacity - we hit delays debugging async model responses.
make.com gets pricey with high volumes. n8n self-hosted better but u need devops skills. latnode? not tried yet but heard good things bout their ai team feature