Should we start with the most repetitive task?

Repetition helps, but the best first workflow also has clear ownership, stable inputs, and measurable impact. A repetitive task with chaotic inputs may need process design first.

Should AI be part of the first automation?

Only when it solves a defined language, classification, or knowledge task and the output can be reviewed. Deterministic automation is often the right first step.

What should an operations team automate first?

Rank candidate workflows

List the workflows that consume meaningful time or cause visible customer, client, revenue, or leadership problems. Score each one on frequency, delay, rework, error cost, and how easily the result can be measured.

Prioritize a workflow that crosses a handoff. The highest value often sits between an inbox and a system of record, between intake and delivery, or between delivery and reporting.

High frequency or high consequence
Clear owner and next step
Repeatable inputs
Visible baseline metric
Low enough risk for a first release

Prefer a bounded first release

A first release might route one request type, prepare one document class, or create one queue for one team. It should have a clear beginning and end, an explicit fallback, and a person who can correct the result.

Avoid promising an all-company transformation before the team has evidence that the operating model works in production.

Measure the before and after

Useful measures include time to first response, time spent assembling information, percentage of requests with an owner, rework rate, queue age, and exception rate. Pair the operational metric with adoption: did people actually use the new path?