Right now we’re in subscription hell. We have OpenAI, Anthropic, Cohere, a couple of specialty models, plus various integrations, plus our Camunda licensing. Fifteen different vendor relationships, fifteen different billing cycles, fifteen different API quirks.
The pitch for consolidation is clean: one subscription, one billing cycle, one API standard. That’s obviously simpler. But I’m trying to build the actual ROI math, not just the “this feels cleaner” argument.
Licensing-wise, the consolidation probably saves something, but I’m not sure how much because we don’t actually use all fifteen subscriptions equally. Some are full-time, some are barely touched. So part of the question is: do we save money on the subscriptions we’re barely using, or do we just shift that money into a minimum flat fee?
But the bigger question is operational. How much money are we actually spending on the overhead of managing all these vendor relationships? API key management, integration work, switching between different Python SDKs in different projects, training people on different platforms, debugging integration issues specific to each vendor.
I’m trying to figure out if consolidation actually reduces that overhead, or if I’m just moving it from “managing vendors” to “maintaining a custom integration layer.” And what’s the break-even point where consolidation actually makes financial sense?
Has anyone actually done this transition and calculated the real ROI? Where were the actual savings versus where did costs shift?
We measured this pretty carefully. Before consolidation, we were paying about $24K monthly across all subscriptions. Maybe 60% of that was being actively used. The rest was minimum commitments, cushion capacity, models we’d tried and abandoned, that kind of stuff.
We switched to a unified platform at about $12K monthly for the same usage. So licensing-wise, we saved 50%. But here’s the operational part: we had one engineer spending about 30% of their time managing API integrations and key rotation. On a $150K salary, that’s roughly $45K annually. When we consolidated, that dropped to maybe 5% of their time.
Total savings? About $27K annually from licensing, $36K from freed engineering time. That’s $63K. Migration cost was roughly $15K. So net first-year savings was $48K, which for us was meaningful. Second year and beyond, no migration cost, so $63K annual savings.
The catch is that this math only works if you’re actually using enough subscriptions to have meaningful integration overhead. If you only have three or four vendors, the overhead is minimal, and consolidation probably isn’t worth the switching cost. For us with fifteen subscriptions, it was worth it.
Also keep in mind that switching has risk. One of our applications broke during the transition because the API signatures were just different enough that our code had to be rewritten. That added another $8K in unexpected costs. The fact that we still came out ahead meant our baseline savings were solid, but risks exist.
I’d recommend auditing your actual usage first. List every subscription, list what percentage of projects actually use it, list the integration overhead for each one. That real data will tell you whether consolidation makes sense. If most of your subscriptions are barely used, that’s one number. If most of your subscriptions are used but have separate API standards that waste engineering time, that’s a different, more compelling number.
For us, the ROI was real because we had heavy integration overhead and unused capacity spread across multiple vendors. That’s not universal.