I’ve been working through ROI calculations for our Camunda to open-source migration, and I keep building models that look great on spreadsheets but feel wrong in practice. The numbers suggest we’ll pay for migration in 18 months, but that assumes operations continue unchanged except for reduced licensing costs. I don’t think that’s realistic.
What I’m not seeing factored in properly is governance. Camunda enforces certain things by default—audit trails, approval workflows, escalation paths, consistency across workflow design. That’s baked into the platform. When you move to open-source, those guardrails get looser. You have more flexibility, but you also have to build and maintain governance structures actively instead of having them handled for you.
That probably costs time. Someone has to define governance policies, implement them consistently across workflows, monitor compliance, retrofit existing workflows to comply with new standards. That’s not a one-time migration cost—it’s ongoing operational work.
I’m also wondering whether the ROI models are accounting for the ramp-up on the new platform. Teams know Camunda. They don’t know open-source platforms. There’s lost productivity during the learning curve. Some of that is one-time, but some of it is permanent if teams are less efficient on the new platform than they were on the old one.
My honest question: when you built ROI models for migrations, did you factor in governance overhead and learning curve impacts, or did those just not show up in the calculations?
Governance overhead is real and I’ve seen it sink migrations that looked great on paper. We didn’t account for it properly at first. We just calculated licensing savings and called it ROI.
What actually happened: we saved on Camunda licensing but spent a bunch of time building governance frameworks we’d taken for granted. Audit compliance became our problem instead of Camunda’s problem. We had to define approval workflow patterns and enforce them across workflows instead of having them enforced by platform design.
Once we added actual numbers to that rework, ROI timeline stretched from 18 months to about 26 months. Still positive, but a significant delta. The bigger issue was that nobody had budgeted for governance work, so we just pulled people from other priorities to handle it, which created different problems downstream.
My advice: when you’re modeling ROI, add a line item for governance infrastructure buildout and estimate it as 15 to 20 percent of total migration costs. Then separately model team training and learning curve—budget for maybe 30 percent reduced productivity in the first two months post-migration, declining over the following quarter.
Those aren’t guesses. They’re baseline numbers we’ve seen hold up across multiple projects.
The learning curve is the thing that surprised us most. We thought maybe a month of ramp-up. It was closer to two months before the team was operating at pre-migration efficiency levels. Some individual contributors took longer.
That’s in the ROI model somewhere, but usually as a hand-wavy “people productivity adjustment” that doesn’t really capture the magnitude. It’s not a little dip, it’s a measurable efficiency loss over several months.
We accounted for the governance piece by bundling it into our implementation plan as specific work items. That forced us to estimate how long it would take and budget people for it explicitly. Governance didn’t appear magically during migration—we had to build it. That time has to come from somewhere, and pretending it won’t is how ROI models get disconnected from reality.