We’re running n8n self-hosted right now, and it’s a pain point. We have infrastructure costs, we’re managing security patches, we’re dealing with version upgrades, and we’re juggling API keys across 15 different AI services.
On paper, switching to a unified platform that covers everything under one subscription sounds like the obvious move. But I need to quantify the break-even point because migration isn’t free. We have 47 existing workflows in production. Migrating all of them will require testing, refactoring, and validation. Plus we need to train the team on a new platform.
The question I’m trying to answer is: at what cost differential does the migration effort actually pay for itself? I can calculate the direct subscription savings pretty easily—self-hosted infrastructure plus 15 API subscriptions versus one unified plan. But what about the hidden costs? Workflow refactoring? Testing overhead? The productivity loss while people are learning new habits?
I’m also wondering if there’s a hybrid approach—migrate critical workflows first, keep self-hosted for the rest, consolidate gradually. Has anyone actually done that, or does it end up costing more to manage two systems simultaneously?
I want to hear from people who’ve done this migration and can speak to the actual timeline and effort, not just the theoretical math.
We migrated 52 workflows from self-hosted n8n over about four weeks. Parallel running both systems for two weeks while we validated the new ones, then switched over completely.
Break-even math looked like this: our self-hosted infrastructure was costing us about $4,000 a month. We had six AI model subscriptions averaging $800 a month each. Total: $8,800 a month. The unified platform was $3,000 a month. Apparent savings: $5,800 a month.
But migration effort was twelve weeks of engineering time across three people. At loaded cost of about $150 per hour, that’s roughly $86,000. To break even on that investment, we needed about fifteen months of savings. We got there.
The hybrid approach wouldn’t have worked for us because managing two platforms added operational overhead. We decided to commit fully and migrated faster.
The refactoring wasn’t as bad as we feared because the new platform’s builder is more intuitive. Some workflows actually became simpler. The testing piece took longer than expected—we were paranoid about edge cases, so we validated pretty heavily.
One thing that helped: we migrated in batches based on workflow complexity. Simple integrations first, complex multi-step workflows later. That let us get comfortable with the platform while building confidence in the migration process.
For 47 workflows, you’re looking at probably six to ten weeks of migration time depending on complexity. Not all workflows need deep refactoring—many transform directly. Plan for about sixty percent to be straightforward, thirty percent needing some adaptation, ten percent requiring significant rework. Budget accordingly.
The hybrid approach doesn’t usually make financial sense. Managing two automation platforms creates operational complexity that erases the subscription savings. Better to commit to full migration over a defined timeline. The break-even is usually six to eighteen months depending on your current infrastructure costs.
We migrated from n8n self-hosted with 38 workflows, and the break-even was actually faster than we calculated. The infrastructure savings were obvious, but what we didn’t factor in initially was the operational efficiency gain.
With self-hosted, we spent time on security patches, version upgrades, troubleshooting deployment issues. That disappeared. Our team spent maybe thirty percent less time on operational maintenance once we switched. That freed up capacity for actual automation development, which meant we built more workflows and delivered more value.
The migration itself took five weeks. We did it in batches—simple integrations first, complex workflows later. The new platform’s builder is more intuitive than n8n, so people got comfortable fast. Some workflows actually became simpler because the platform handles complexity we were managing manually.
The real advantage: with one subscription covering 400+ AI models, we stopped managing API key sprawl. No more negotiating which service to use based on cost. Just use whatever’s available. That flexibility led to better automation decisions.
Break-even was about eight months when you account for everything—infrastructure savings plus operational efficiency plus avoided licensing negotiations. After that, it’s pure profit.