We’ve been running Camunda for about two years now, and I’m starting to question whether we’re getting the ROI we promised finance. The biggest pain point I’m seeing is how long it takes to go from a business requirement to an actual deployed workflow.
Right now, our process looks like this: business owner describes what they need, we schedule a meeting, our architect translates it into a technical spec, devs build it out, QA tests it, and then we finally deploy. From request to live is usually 4-6 weeks for anything moderately complex.
I keep hearing about AI-powered workflow generation, and I’m wondering if that’s just marketing hype or if there’s actually something there. Like, could we realistically take a plain English description of a process and have it generate something close to production-ready?
The licensing costs alone are steep enough that I’m looking for any angle to improve our actual utilization and speed. What’s your experience? Are we just slow, or is this normal for enterprise workflow platforms?
That timeline sounds about right for traditional Camunda setups, honestly. We had a similar cycle at my last place.
The plain English to workflow generation thing is actually worth looking into though. I tested something similar with a newer platform last year, and it was genuinely faster. Not perfect, but it cut out maybe 30-40% of the spec and build time. Gave us a skeleton to work from instead of starting blank.
The catch is that complex business logic still needs human review. But for your more straightforward processes? Yeah, it can shave weeks off. The real win isn’t the fancy AI—it’s skipping the back-and-forth meetings where someone misunderstands the requirement anyway.
One thing we started doing was separating our slow processes into two buckets: actual complexity that needs architecture thought, and repetitive stuff that should be templated.
Turns out maybe 20% of our deployments were legitimately complex. The rest were variations on patterns we’d already built. If those 80% could auto-generate from templates or plain text, suddenly our dev team focuses on the high-value work.
Camunda doesn’t handle that angle well. But being honest, even moving to a platform that does means you’re retraining people and migrating existing workflows. So timing matters.
Your 4-6 weeks is actually competitive. Some shops we know are at 8-12 weeks. So you’re not terrible, but yeah, that’s a lot of calendar time.
One practical thing: start tracking where the time actually goes. Is it in meetings? Rework? Testing? Once you know that, you can fix the right thing. Maybe it’s not workflow generation you need—maybe it’s better handoff docs or faster testing infrastructure. AI helps, but it’s not a magic fix if your bottleneck is organizational.