The queue that never shrinks
Every business has approval processes. Budget requests need sign-off. Content needs review. Contracts need authorisation. Each approval makes sense in isolation — someone should check before money is spent or commitments are made. Collectively, they create a queue that grows faster than it can be cleared.
The person responsible for approvals becomes a bottleneck not because they are slow, but because their capacity to approve is finite and the demand for approvals keeps growing. Every item in the queue represents work that is paused, waiting for a decision that might take minutes to make but days to reach the top of the pile.
Why manual approvals break at scale
Manual approvals work at small scale because the approver has capacity to handle the volume. At larger scale, three things happen:
Volume exceeds capacity
The number of items requiring approval grows with the business, but the approver's available time does not. The queue lengthens. Waiting times increase. Work that should take hours takes days, and the delay is not in the doing — it is in the waiting.
Approval quality degrades
When the queue is long, the approver spends less time on each item. Approvals become cursory. The checking that was meant to catch errors becomes a formality that catches nothing. The approval process creates delay without creating the quality assurance it was designed for.
Workarounds emerge
People find ways around the approval process because waiting is not viable. They seek informal approval. They proceed without approval and hope for forgiveness. They escalate through channels that were not designed for the purpose. The formal process becomes a fiction alongside the informal reality.
Which approvals can be automated
Not all approvals are candidates for automation. The ones that are share common characteristics:
- The criteria are clear. The approver applies known rules rather than exercising complex judgement. Budget below a threshold is approved. Content that meets the style guide is approved. Standard contract terms within defined limits are approved.
- The cost of error is manageable. If the assistant approves something it should not have, the consequence is inconvenience rather than catastrophe. The review mechanism catches it before it causes real damage.
- The volume is high enough to matter. Automating an approval that happens twice a month is not worth the effort. Automating one that happens twenty times a day creates meaningful capacity.
Approvals that involve complex judgement, significant financial or legal risk, or relationships that require human sensitivity should remain with people.
How AI assistants handle approvals
An AI assistant can handle routine approvals by applying the same criteria a person would, consistently and without delay. This is a specific case of designing AI workflows around human judgement:
- The assistant checks the request against defined rules and business context
- Items that clearly meet the criteria are approved automatically
- Items that clearly do not meet the criteria are rejected with an explanation
- Items that are ambiguous are escalated to a person with a summary of what is unclear and why
The person's role shifts from processing every item to handling the exceptions. Their approval capacity is no longer consumed by the routine, so the ambiguous and high-stakes items get proper attention.
Implementation considerations
Automating approvals requires upfront clarity about the approval criteria. If the current criteria are "I know it when I see it," they need to be made explicit before automation can work. This articulation is valuable in itself — it forces the business to be clear about what it is actually approving and why.
It also requires a clear escalation path for the items the assistant cannot handle. The person who previously reviewed everything must be available for the items that genuinely need their judgement, and the transition from automated to manual must be seamless rather than creating a new queue.
Moonshot Monkeys builds AI assistants that handle routine approvals while ensuring that complex judgement stays with the people best equipped to exercise it. If your approval processes are creating bottlenecks rather than quality assurance, we can help.