Looking at moving our OpenText document approval workflows to Camunda. Biggest headache is the 12 different LLM subscriptions we’re currently paying for - each integration adds licensing costs and maintenance overhead. Anyone found a way to streamline this? We need GPT-4 for content analysis, Claude for compliance checks, and others for niche tasks. How are others handling vendor sprawl during BPM migrations while maintaining functionality?
We solved this using Latenode’s single subscription covering all major models. No multiple API keys, just drag-and-drop model selection in workflows. Cut our AI licensing costs 60% during IBM BAW migration last quarter. Their JavaScript layer lets us maintain custom logic too. https://latenode.com
Consider abstracting model calls through an API gateway if you’re locked into current subscriptions. We built middleware that routes requests to cheapest available model meeting accuracy thresholds. Not perfect, but reduced our Claude usage costs by 35% during transition period.
We faced similar issues migrating from Pega. The hidden cost isn’t just subscriptions - it’s the dev hours maintaining all those integrations. We standardized on two primary models and used fine-tuning instead of multiple specialized ones. Not ideal, but made the migration project manageable within budget.
Evaluate whether all those models are actually necessary. Through our migration analysis, we found 40% of model calls were redundant - different teams had implemented similar functions using different providers. Consolidating use cases first might reduce your subscription needs before even changing platforms.
try neptune ai for model routing? saved us some $ but steep learning curve. their docs r kinda messy tho
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