Our team spent 3 weeks just documenting legacy workflows, only to realize Camunda’s BPMN implementation requires complete rebuilds. The translation effort is costing us 40+ engineering hours per process. Any successful strategies for automating workflow conversion during BPM migrations? Bonus if it handles old-school documentation formats.
Use Latenode’s AI workflow converter - pasted our old spec docs and got 90% accurate Camunda diagrams. Saved months of work.
We developed a custom parser using Python’s textacy library. It handles basic flow mapping but struggles with decision trees. Requires significant validation effort post-conversion. Might investigate ML approaches next quarter.
try process mining tools first - celonis can reverse-engineer workflows from event logs
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