Choosing Which Process to Automate First

The most common automation mistake is not choosing badly — it is choosing by whoever complains loudest. A simple scoring model removes the politics and consistently surfaces the process with the fastest payback.

Score every candidate on four axes

1. Volume — how many times does this run per month? Automation value scales linearly with frequency, and nothing else matters as much.
2. Error cost — what does one mistake cost in money, rework or reputation? A low-volume process with expensive errors can still win.
3. Effort — how many engineering weeks to automate, honestly estimated including integration work?
4. Risk — what breaks if the automation fails silently, and can you detect that?

Score each from 1 to 5, then rank by (Volume × Error cost) ÷ (Effort × Risk). It is crude, and it is far better than intuition.

Why volume dominates

A process that runs 4,000 times a month and saves three minutes each time returns 200 hours monthly. A process that runs twelve times and saves two hours returns 24. Teams routinely pick the second because it feels more painful — the pain is concentrated in one person, so it is loud.

The first automation should be boring

Your first automation is not really about the process. It is about proving the approach to a sceptical organisation.

Pick something high-volume, low-risk and highly visible. Invoice data capture, order status notifications, report distribution. A quick, obvious win buys the trust you will need for the ambitious one.

Design for failure from day one

Every automated workflow needs an explicit answer to: what happens when this fails? Silent failure is worse than no automation, because people stop checking. Every workflow we build has a named owner, a dead-letter queue and an alert — no exceptions.

Measure the baseline before you start

You cannot prove ROI without a before. Spend one week measuring cycle time, error rate and hours spent on the current manual process. It is a small investment that turns "it feels faster" into "cycle time fell 71%" — which is what gets the next phase funded.