I keep running into this issue when I’m planning costs for our open-source BPM migration. Right now, we’re assuming we’ll need OpenAI for certain workflows, maybe Anthropic for another use case, Google’s models for something else. That’s already three subscriptions. And each one has its own pricing, its own integration overhead, its own management headache.
It feels like we’re adding cost just to access the AI capability we think we need. And I’m wondering if that’s actually distorting our ROI calculation. Like, we’re showing savings from moving to open-source BPM, but we’re also budgeting for these fragmented AI costs that weren’t in our original forecast.
Has anyone actually modeled the cost difference between managing five separate AI model subscriptions versus consolidating them into a single subscription that gives you access to 400+ models? I’m trying to understand if this is a real cost lever or if I’m overthinking it. What does it actually cost to integrate multiple model subscriptions, and how much of that goes away if you consolidate?