Diagnostic essay
I have watched organizations go through this cycle more than once. A system gets blamed for slowing people down, frustration builds, and eventually leadership approves a replacement. Months later, the same complaints resurface under a different platform name.
The pattern is consistent. When a system feels broken, the instinct is to look at the software itself: is it outdated, is it missing a feature, does a competitor's product look more capable. What rarely gets examined is whether the process running on top of the software was ever sound to begin with. If a workflow has grown around exceptions, manual approvals, and informal handoffs that developed over years without anyone redesigning them, a new platform inherits that same broken process. It simply presents it through a newer interface.
I have sat in requirements sessions where the actual problem became clear within the first hour, and it had nothing to do with the technology in question. The data being entered was inconsistent because three departments defined the same field differently. The approval bottleneck people blamed on the system was actually a policy nobody had revisited since it was written. The software was not failing the organization. The organization had never mapped its own process well enough to know what it needed the software to do.
This is why current-state analysis has to come before any platform conversation, not after a decision has effectively already been made. Replacing a system without first understanding the process it supports is expensive in a specific way: the organization pays for implementation twice, once for the platform that gets rejected as the wrong fit, and again for the one that follows it, while the underlying process problem goes untouched through both. The software is rarely the root cause. It is usually just the most visible symptom.