Insight · Automation

The 60% rule: the AI work that pays back first

Not every task is worth automating. The ones that are share three traits. A simple test for spotting the work that pays back fastest.

The 60% rule: the AI work that pays back first

Not every task is worth automating. The work that pays back fastest is rarely the work that sounds exciting in a meeting.

Most AI projects start with the flashy idea. The clever assistant. The thing that would impress a customer in a demo. Then months pass, the budget goes, and nothing much has changed. Meanwhile the work that was quietly draining your team every week is still being done by hand, the same way it always was.

What the 60% rule actually means

In most businesses, a large share of the working week goes on tasks that are repetitive, high-volume, and low on judgement. Call it the 60%: the routine that keeps the lights on but nobody would call skilled. That is where AI pays back first, because the same work happens again and again, so every improvement multiplies.

A simple test for what to automate first

Before you touch the exciting use case, run each task through four questions. If it passes all four, move it to the front of the queue. If it fails most of them, it can wait.

  • Is it repetitive? The same steps, in the same order, most days. Predictable work is buildable work.
  • Is it high-volume? Something done fifty times a week returns far more than something done once a month.
  • Is it low-judgement? Clear rules and few exceptions. If a new starter could learn it from a checklist, a machine can run it.
  • Is it done by expensive people? Skilled staff on routine admin is the costliest habit in most businesses.

Why boring beats exciting

The exciting use case is tempting because it feels like the future. But it is usually rare, full of exceptions, and hard to measure. The boring, frequent work is the opposite: easy to define, easy to build, easy to prove. You get a number that moved within weeks, not a demo that impresses for an afternoon.

Start there and something else happens. Your team sees AI give back real hours on work they hated. Trust builds. The people who feared it start asking for more of it. The harder projects get easier because the business already believes AI can deliver.

The short version

Do not start with the idea that sounds best. Start with the work that repeats, the work nobody enjoys, the work eating your most expensive week. That is where the payback is. Book a diagnosis to find your 60% and where it pays back first.

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