Approval bottlenecks: how to find and remove them safely
Most approval steps were added for a reason that no longer exists, or to catch a failure that a written rule would catch better. Meanwhile, work sits in queues, customers wait, and managers spend their day saying yes to things that were always going to be yes. This guide is the method we use to take approvals out of a workflow without losing the control they were supposed to provide.
The four signs an approval is a bottleneck
- The approval rate is near 100 percent. If it almost always gets approved, the step is a delay, not a decision.
- The wait time exceeds the work time. A ten-minute task waiting two days for sign-off is a queue problem.
- People batch around it. Teams save up requests to avoid bothering the approver, which adds even more delay.
- The approver cannot state the rule. If the criteria live in someone's head, the approval is a personality, not a control.
The removal method
Write the rule down
Sit with the approver and capture what they actually check. Amount, category, customer type, risk flags. It is usually three or four criteria.
Set a threshold
Below the threshold, the written rule runs and nobody is asked. Pick a level where a wrong yes costs less than the queue currently does.
Route the exceptions
Everything that fails the rule goes to a human with the context attached. The approver now sees only the decisions that need judgment.
What to keep manual
Not every approval should go. Keep a human in the loop where the decision is genuinely judgment-based, where the cost of a wrong yes is high and hard to reverse, or where a regulation requires a named person to sign. The goal is not zero approvals. The goal is that every remaining approval is a real decision.
Common mistakes
- Automating the form but keeping the wait. A faster way to enter a queue is still a queue.
- Setting the threshold so low that everything is still an exception.
- Removing the approval without writing the rule down first, which removes the control along with the delay.
- Leaving no audit trail. Decisions made by rule should be logged the same way decisions made by people are.
FAQ
How do I know if approvals are a bottleneck?
Look for queues. If work regularly waits more than a day for a sign-off that almost always gets approved, the approval is a queue, not a control.
How do I remove approvals without losing control?
Write down the rule the approver actually applies, set a threshold under which the rule runs without them, and route only the exceptions to a human.
What approval should I fix first?
The one with the highest volume of near-automatic yes decisions. High volume plus high approval rate means the queue is pure delay.
Related reading
Not sure which approval is the expensive one?
That is exactly what the AI Operations Audit answers. We map the workflow, find where decisions queue, and price the fixes in order of payback.