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How to work out what an AI workflow is worth before you build it

If you don't measure the starting point, you can't show a return. Do this before you build anything.

Step 1: Record today's numbers. For one workflow, over a normal month:

MeasureYour number
Items per month (e.g. SoAs, submissions, bordereaux lines)
Minutes of staff time per item
People involved, and their roles
Average hourly cost of those people
Share of items needing rework
Time from start to finish

Step 2: Work out the monthly cost. Items × minutes ÷ 60 × hourly cost.

Step 3: Set a target. How much should each number move? Be honest. Use your own files, not a vendor's claims.

Step 4: Add the cost of the build and the running costs. Build cost, software and AI usage fees, and the time your own people will spend.

Step 5: Work out the payback. Build cost ÷ monthly saving.

An example, with made-up numbers for illustration only. 100 items a month at 90 minutes each is 150 hours. At $60 an hour that is $9,000 a month. If the target is to cut the time by 40%, that is $3,600 a month saved. A $20,000 build pays back in a little over five months. These are not benchmarks. Your numbers will differ.

Two warnings

  • - Time saved is not money saved unless the time goes somewhere useful. Decide where it goes.
  • A tool nobody uses saves nothing. Track how many people use it each week.
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