Use this when

A workflow meets cases it cannot or should not handle automatically, and you need them to go somewhere visible instead of being lost or guessed at.

The pattern

AI / AUTOMATION handles the normal cases
      ↓
EXCEPTION detected (unclear, unusual, failed)
      ↓
EXCEPTION QUEUE  ← visible, ordered, owned
      ↓
person resolves → back to normal flow, or closed

Instead of forcing every case through, or dropping the hard ones, the workflow routes exceptions into a shared queue that a named person owns and works.

Why it works

Exceptions are part of the workflow, and they carry the most risk. A queue makes them visible, ordered and owned, so nothing is silently lost and the hard cases get real attention. It also gives the AI a safe place to send anything it should not handle alone, which is what makes automating the rest safe. See what is an exception.

How to apply it

  1. Define what counts as an exception: uncertainty, unusual cases, conflicts, failed actions.
  2. Route each to the queue with the information the resolver needs.
  3. Give the queue one owner and a visible order, usually by age or priority.
  4. Feed resolved cases back into the normal flow.

Good fit

Poor fit

  • Workflows where exceptions are so rare a queue is overkill, though even then a defined destination beats none.

What this does not solve

An exception queue organizes the hard cases; it does not reduce how many there are. If the queue grows faster than it is worked, that is a signal to add capacity, turn common exceptions into rules, or improve the input. The queue makes that visible; it does not fix it alone.