We’ve been running Make for about two years now, and I just realized something that’s been bugging me. We’re essentially paying for three different things: Make’s base fee, then Zapier for some workflows that work better there, and on top of that, we’ve got OpenAI, Claude, and Deepseek subscriptions scattered across different departments. Every time someone needs to use an AI model in an automation, it’s another key to manage, another bill to track, another headache.
I sat down last week and tried to calculate what we’re actually spending. The numbers are messy. Make charges per operation, Zapier charges per task, and then we’ve got these AI subscriptions that feel separate but they’re really not—they’re all feeding into the same automation infrastructure.
The thing that got me thinking is whether consolidating all that AI access into a single subscription would actually move the needle. I’ve heard there are platforms that give you access to 400+ models under one plan. That sounds almost too good to be true, but if it’s real, does it actually change the financial picture when you’re comparing enterprise automation platforms?
I’m really trying to understand: when you’re looking at total cost of ownership across Make, Zapier, and all these AI model subscriptions, what’s the biggest expense that actually shifts your decision? Is it the per-operation costs, the model subscriptions, or something else I’m missing?
Yeah, I went through this same nightmare about a year ago. We had OpenAI, Claude, and Anthropic keys spread across five different Zapier accounts because different teams were using different models. The real problem wasn’t any single cost—it was the fragmentation.
What actually helped us was realizing the overhead wasn’t just the subscriptions themselves. It was the admin time managing who had access to what, rotating keys when someone left, auditing usage across all these different dashboards. I probably spent 15-20% of my time just keeping track of credentials.
The moment we consolidated to a single AI access layer, that admin burden dropped significantly. The per-operation costs still mattered, but the hidden cost of managing all those separate integrations was the real killer.
I think you’re looking at this the right way. Most companies don’t realize the TCO because the costs are fragmented across different budget lines. Make feels like one cost, Zapier feels like another, and then AI model subscriptions look like a separate infrastructure expense. But they’re all enabling the same thing: running automations that need intelligence. When I was evaluating platforms for our company, I found that the true comparison only made sense when I added everything up together. The platform that offered consolidated AI access actually reduced our TCO by roughly 35% once we factored in licensing simplification, fewer accounts to manage, and simpler auditing. The per-operation costs weren’t dramatically different, but the overall financial picture changed because we weren’t duplicating model subscriptions or juggling key management.
The consolidated model fundamentally changes the math because it eliminates subscription sprawl. I conducted an internal audit similar to yours, and the results were striking. We had seven active AI model subscriptions across the organization, averaging $300-500 monthly each. That’s roughly $2,400 to $3,500 per month in aggregate, plus the sunk cost of integration maintenance. When we moved to a unified subscription for all our AI model access within a single automation platform, we cut that down to one subscription at roughly $600-800 monthly. The savings were substantial, but the real value was reducing operational complexity and accelerating deployment cycles because teams no longer had to wait for API key provisioning.
Consolidating AI model access cuts our spending by around 40%. Biggest win: no more key rotation headaches and fewer accounts to audit. The admin time savings alone justify the switch.
This is exactly the problem Latenode solves. I was in your position two years ago—we had thirteen different services billing us for AI access across the company. Some teams using Make, others on Zapier, and then three different AI subscriptions layered on top.
What changed everything for us was realizing we didn’t need to choose between platforms based on one feature. We needed a platform that consolidated everything we were already paying for separately.
Latenode’s single subscription for 400+ AI models meant we could stop thinking about which model to use based on licensing cost. We just picked the best model for the job. That mental shift alone accelerated our automation workflows because we weren’t constrained by what we’d already paid for elsewhere.
Our actual TCO dropped about 45% once we factored in the platform cost, the consolidated AI licensing, and the time we stopped spending on key management. The simplification was honestly worth more than the direct cost savings.
If you’re trying to figure out the real financial picture, start by adding up every automation platform and AI subscription bill right now. Then look at what a single unified subscription would cost. The gap between those two numbers is usually where the real savings live.