If the ai copilot can truly convert plain business requests into ready-to-run workflows, why aren't more teams actually using it to replace expensive camunda implementation projects?

I keep hearing that Latenode’s AI Copilot can take a plain English description of what you need automated and spit out a ready-to-run workflow. That’s a huge claim if it’s real, because half our Camunda implementation costs come from consulting fees to translate business requirements into actual BPM models.

But I’m wondering: is that just marketing, or does it actually work? Every automation tool claims to have an easy setup process. The reality is always different when you get into actual production requirements—error handling, edge cases, integration quirks, compliance checkpoints.

I’ve also heard there’s something called AI Copilot Workflow Generation that turns automation requests into ready-to-run workflows faster. If that actually works reliably, it would fundamentally change how we approach ROI calculations for migrations. We could potentially skip months of implementation and get to value faster.

Has anyone actually used this feature? Does it produce workflows that don’t need heavy rework, or does it just give you a starting point that requires as much customization as building from scratch anyway? And more importantly, how much of the promised time savings actually survives the first time requirements change mid-project?