We’re in the middle of evaluating automation platforms for our enterprise, and the licensing situation is getting messy. Right now we’re scattered across OpenAI, Anthropic, Google, and a few specialized model providers. Each one has its own contract, its own billing cycle, its own usage tracking. It’s a nightmare to predict costs month to month.
I’ve been reading about platforms that consolidate access to 300+ AI models under a single subscription, and on paper it sounds great—one predictable cost instead of five. But I’m skeptical about whether the actual financial picture changes when you layer in the rest of the platform.
What I’m trying to figure out is: when people say they’re saving 40-60% by consolidating, are they talking about just the licensing consolidation itself, or are they factoring in workflow efficiency and reduced execution overhead? We’re comparing Make and Zapier for the base platform, but neither of them simplifies the AI subscription sprawl the way some newer platforms claim to.
Has anyone actually gone through this consolidation and tracked the numbers? I’m curious whether the savings are real or if you just end up paying differently without actually reducing spend.
Yeah, we did this about eight months ago. We had OpenAI, Anthropic, and a couple of specialized model contracts. The consolidation math is real, but it’s not just about the licensing.
When we moved to a unified subscription platform, we cut the actual model costs by maybe 35-40%. That’s solid. But the bigger win came from how the platform charges for execution. We were burning through API calls because we didn’t have visibility into what was actually happening in our workflows. Once we consolidated onto a time-based execution model instead of per-operation charges, that’s where the real savings showed up.
Make and Zapier charge you per task or per module execution. At scale, that adds up fast. If your workflow makes 50 API calls in a single scenario, you’re paying for all 50. On a consolidated platform with time-based execution, you’re paying for the 30 seconds or whatever the scenario takes, regardless of how many calls happen inside it.
For us, that shift from operation-based to time-based pricing actually mattered more than consolidating the subscriptions themselves. The subscription consolidation just meant we had one invoice instead of five.
The consolidation savings depend heavily on your current usage patterns and how many models you’re actually using across different tools. If you’re using the same three models repeatedly, moving to a consolidated plan makes sense. But if your workflows require specialized models for different tasks, you might be paying for access to models you don’t actually need.
What we found is that the licensing consolidation is real, but it’s secondary to the platform’s execution model. A platform that charges per scenario or per time executed will always beat per-operation pricing at scale. We saved money by switching to time-based execution more than by consolidating our AI subscriptions. The subscription consolidation just simplified accounting and eliminated contract management overhead.
Consolidation works if your workflow volume justifies it, but the real leverage is in the platform’s underlying pricing model. Operation-based platforms like Make charge for every module execution. If your workflow has branching logic, conditional steps, or loops, the operation count multiplies quickly. A consolidated subscription under an execution-time model flattens that cost curve.
In our case, the subscription consolidation saved us maybe $8K-10K annually. The shift from per-operation to time-based execution saved us closer to $40K. So the 40-60% savings people cite is probably capturing both effects. Don’t assume consolidation alone gets you there. Focus on the platform’s underlying cost structure.
consolidation saves maybe 30-40%, but time-based execution over op-based pricing is where the real math changes. we saw bigger wins switching platforms than from just combining subscriptions.
Actually consolidation does work, but you’re thinking about it wrong. The subscription part is straightforward—one bill instead of five. But the real shift happens when you move from operation-based to time-based pricing.
We were on Make with per-operation charges, and a single workflow with conditional logic would rack up 50+ operations. At scale, that gets expensive fast. When we switched to a platform that charges for execution time, we literally cut our costs in half. A 30-second execution window lets you make dozens of API calls without additional charges.
The 40-60% savings people mention isn’t just from consolidating subscriptions. It’s the combination of unified access to 300+ models plus a pricing model that doesn’t punish you for complex workflows. Make and Zapier don’t give you that combination, which is why the financial picture changes so dramatically.
If you’re serious about evaluating this, track your current workflow execution patterns and calculate what you’d spend under time-based pricing versus operation-based. That’s where your answer lives.