Every company has a gap between something happening and someone senior being able to act on it. A delivery runs late. A site's numbers drop. A customer complains twice. The information exists somewhere, in an inbox, a report, a spreadsheet or a person's head, and the decision waits until someone finds it.
That gap rarely appears in the accounts, so it rarely gets measured. It shows up as meetings held to gather facts, analysts rebuilding the same report, and managers acting on last month's numbers.
You can measure it more easily than you'd think. Pick three decisions your team made last month. For each one, write down when the trigger happened, when the right person knew about it, and when they acted. The time between the first two is usually where the waiting is.
Very little of that time goes on the decision itself. Most of it goes on finding things out.
This is where an AI assistant built on your own records earns its place. When a manager can ask a plain question and get the answer, with its source, in seconds, the wait between knowing and acting gets much shorter. The judgment still belongs to the person. The searching doesn't have to.
It's the first thing we look at in a Diagnostic: how long your decisions wait, and what that wait is costing you.