I’m trying to build a business case for our leadership, and I keep hitting the same wall: how do you measure ROI when the comparison isn’t straightforward?
With Camunda, we have clear costs: $X per instance, $Y for connectors, $Z for additional features. We can quickly add up what we’re spending. ROI is easier to frame—we automate process X, save Y hours, multiply by labor cost.
But with a bundled platform—especially one that includes AI orchestration, templates, and the builder all in one—the benefits become less obvious on a spreadsheet. Sure, I can calculate hours saved on process automation. But how do I quantify the value of being able to experiment faster, or the fact that non-technical people can actually build things?
I’ve also noticed that the ROI conversation changes when you factor in what we’re NOT doing with Camunda because of licensing friction. We’ve rejected projects that fell just below the usage threshold where licensing made sense. How do I measure the opportunity cost of those rejected automations?
I want to present something credible to finance—not hype. What’s actually in your ROI model when you make this switch?
The ROI conversation shifted for us when we stopped thinking about it as a platform migration and started thinking about it as capability expansion. Camunda was constrained to IT-owned processes. With the unified model and no-code builder, we unlocked process automation in departments that never had access to it.
Here’s what I tracked: hours saved per process (standard calculation), but also number of new processes we could finally automate because we weren’t hitting cost barriers. That second number was actually bigger financially. We went from automating five critical processes a year to twelve, because smaller, high-volume processes finally made financial sense.
For finance, I framed it as: Camunda costs X and handles Y processes. New platform costs approximately the same, but handles Y + Z processes. That Z is where the ROI multiplier sits.
One thing that helped us was breaking ROI into first-year and steady-state. First year includes migration costs and learning curve. Year two onward is pure productivity gain. Finance usually wants to see both because the narrative changes—you’re not just replacing a tool, you’re expanding what you can build.
Start with what you know: document every Camunda project cost including implementation hours, licensing, and maintenance. That’s your baseline. Then identify rejected or deprioritized automation projects—estimate what those would have cost to implement under Camunda licensing constraints.
With the bundled model, recalculate those same projects. Most come in substantially cheaper because you’re not juggling licensing calculus. That difference is real ROI. It’s not hype—it’s captured opportunity.
The honest answer is that ROI gets harder to model because the platform doesn’t just reduce costs—it changes your automation strategy. You can do more, which makes traditional ROI calculations incomplete. If your finance team insists on pure cost reduction, they’ll undershoot the value.
Construct your model in three layers: cost replacement (we spend less), productivity gain (technical staff build faster), and capability expansion (we automate processes we couldn’t before). Layer three is usually the most significant financially, but it’s also the hardest to predict accurately.
We built our ROI model around three measurable things. First, direct cost—our Camunda spend versus Latenode subscription. Second, deployment velocity—we started shipping automations 40% faster because we didn’t have licensing architecture conversations anymore. Third, team expansion—non-technical product managers could actually build automations with the no-code builder, which multiplied our throughput.
Finance loved the second metric most because it was concrete: X hours saved per quarter across the entire organization. We monetized that based on average labor cost.
The thing that surprised us was the third metric. We had assumed it would be marginal. It wasn’t. In year one, roughly 30% of our automations came from people who’d never built Camunda workflows. That shift alone justified switching.