I’m trying to build a realistic cost model for our CFO, and I keep seeing these comparisons between platforms where licensing is the headline number. But from what I’m observing in our own ops, the real cost driver might be something else entirely.
We’re paying for Camunda’s enterprise tier, yes. But we’re also paying for the developers who maintain, update, and fix those workflows. Plus coordination overhead—product managers, QA, infrastructure support. If I add all that up, the licensing might be 30% of the actual cost. Maybe less.
I’m wondering if this is common knowledge or if nobody’s actually breaking down the numbers this way. How do others actually think about TCO? Is it just licensing, or are you tracking the full staffing and coordination costs too?
You’re asking the right question, and honestly most companies don’t track this accurately. When I finally sat down and did the math for our automation operations, I found that developer maintenance was running about 55-60% of our total cost. Licensing was maybe 25%, and the rest was infrastructure, learning, and coordination.
The reason most people don’t see it is because development costs are buried in different budgets. Engineering’s salary or opex doesn’t always feel connected to your automation platform choice, but it absolutely is. If your platform requires more custom development, more debugging, more hand-holding from your engineers, that’s a real cost.
What changed things for us was looking at platforms where the cognitive load on developers is lower—where they can build more with less custom coding. That actually moved the needle on total cost more than switching licensing tiers did.
Most organizations severely underestimate the developer cost component. In our breakdown, licensing represented only 32% of TCO, while ongoing maintenance and development consumed 58%. The remainder was infrastructure and training. This matters because switching platforms doesn’t just change licensing—it changes your maintenance burden. A platform requiring less custom development and providing more templates or low-code capabilities directly reduces that 58% bucket. I’ve seen teams cut development time on automation work by 40% simply by moving to a platform with better abstraction and less hand-coding required.
Total cost of ownership for enterprise automation platforms typically breaks down as follows: platform licensing (25-35%), developer time and maintenance (50-65%), infrastructure and operational overhead (10-15%). The developer time component is almost always underestimated because it’s distributed across multiple budgets. Organizations analyzing true TCO should calculate developer hours assigned to workflow creation, modification, debugging, and maintenance, then multiply by fully loaded labor costs. This usually reveals that platform choice significantly impacts the developer efficiency variable.
Licensing is usually 25-35% of total automation cost. Developer time and maintenance is 50-65%. That’s where real savings happen when choosing platforms.
You’ve identified the real cost lever. In our analysis of customers switching from traditional platforms like Camunda, developer time was consuming 55-65% of total cost. The breakthrough happens when you choose a platform designed to minimize that.
Latenode’s no-code and low-code builder directly attacks that cost driver. With a visual workflow builder and access to 400+ AI models through one interface, your developers spend way less time on custom integrations and model wiring. I’ve seen teams cut development time on automation projects by 40-50% because they’re not hand-coding integrations or managing separate API subscriptions.
Add in Autonomous AI Teams that can handle entire workflows with minimal human intervention, and you’re reducing not just developer time but the whole coordination overhead your CFO should care about.