Without AI you already had too many tasks and too much drift. AI does not fix that arithmetic, it accelerates it. That is the argument for a central, governed, AI-integrated queue.
The arithmetic
The promise of AI is throughput. The consequence of throughput is volume: more drafts to review, more analysis to act on, more follow-ups that exist only because something finally got done. Every tool you own is bolting on an assistant, and each one generates its own stream of output in its own interface.
An organization designed for human-only workload does not absorb that. It gets buried by it, and the first casualty is the follow-up nobody owned.
The queue
Why it holds under load
There is no fourth outcome. What cannot land immediately is durably staged rather than dropped, exhausted retries preserve payload, actor, history and error class, and an engine-independent drain retries every minute and pushes an alert the moment anything reaches the dead-letter queue.
Tasks are deferred or done, never destroyed. The audit trail is a byproduct of normal operation rather than a project you have to fund.
A working session, not a pitch deck: your categories, your rules, and where governed autonomy would pay off first.