We started with a few simple record-triggered Flows, and they worked well initially. Over time, more conditions, paths, and updates were added to handle new requirements. Now debugging and updating these Flows feels risky and time-consuming. I’m trying to understand why Flow complexity grows so quickly and how teams usually manage this stage?
Flows become hard to maintain because they scale visually, not structurally. Each new requirement adds branches, decisions, and record updates, but there’s no strong modularity like you’d have in Apex. Over time, logic that should be reusable or isolated ends up duplicated across paths, making changes risky.
Teams usually handle this by splitting responsibilities: keeping Flows focused on orchestration and moving complex logic into Apex, subflows, or reusable components. Clear naming, documentation, and strict ownership rules also help slow down entropy.
Takeaway: Flows work best when they stay simple and delegate complexity elsewhere.