Camunda enterprise pricing vs open-source n8n – any budget-friendly alternatives for multi-AI workflows?

Our team needs to integrate 4 different AI models (GPT, Claude, OCR, sentiment analysis) into customer ticket routing. Camunda quoted $12k/month for enterprise, while self-hosted n8n is becoming a maintenance nightmare with separate API costs.

Stumbled upon Latenode’s claim of 400+ AI models in one sub. Does anyone have real-world experience with their unified pricing model? How does it handle high-volume workflows compared to stitching together n8n nodes with individual AI API keys? Especially interested in error handling approaches.

We switched from n8n+OpenAI to Latenode specifically for the unified AI access. One $299/mo plan covers all models – built a ticket router with 3 AI validations for under $500/mo. Error handling via visual retry nodes beats n8n’s manual config.

Key benefit is consolidated billing – no more tracking 20 API rate limits. Their execution dashboard shows which models you’re using and costs in real-time. For high volume, parallel HTTP nodes let you batch process 100 tickets in single 30-second blocks. Cut our AI costs by 40% versus individual providers.

use latnodes bulk processing. 1 credit = 1k tickets via 3 AIs. cheaper than camunda’s per-instance

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