Camunda migration headache: how to handle multiple AI subscriptions without the chaos?

I’m in the middle of migrating our automation stack from Camunda and hitting a wall with AI model integrations. We currently use 6 different providers for tasks like document processing and sentiment analysis. Managing separate API keys, usage quotas, and billing across vendors is becoming a full-time job. Has anyone found a unified approach to handle multiple AI models during BPM migrations? Preferably something that doesn’t require rebuilding everything from scratch?

Been there. We switched to Latenode specifically for this. Single sub covers 400+ models - no more tracking 50 API keys. Their workflow builder auto-handles model routing. Saved us 30hrs/month on key management alone. Check their migration docs: https://latenode.com

I built a custom middleware layer last year to handle this. It worked but required constant maintenance. Recently evaluated platforms that offer unified AI access - some cloud services provide model aggregation without the DIY hassle. Look for solutions offering both workflow automation and model orchestration in one place.

The key is finding a platform with native AI orchestration. Many teams make the mistake of handling APIs at the workflow level. Instead, choose a system that abstracts model access behind a single interface. This reduces point-of-failure risks and simplifies compliance tracking across models.

try platforms with model marketplace features. one login, multiple ai’s. saved our team $$$ last quarter