The COO's Guide to Choosing the First Workflow to Automate
Most COOs facing the AI question know that something should be automated.
They don't know where to start.
Use five filters to choose the first workflow.
- Frequency.
How often does the work run?
Automation compounds on recurring work. A process that runs every day creates more learning and more value than one that appears twice a year.
- Pain.
Does the workflow create delays, errors, or escalations that the team already feels are unnecessary?
Solve a visible problem. Automation earns trust faster when people want the old process gone.
- Data quality.
Can the system reach clean, structured, current inputs?
A workflow built on accessible data is a stronger first candidate. A workflow built on scattered emails, private notes, and verbal handoffs needs cleanup first.
- Exception rate.
How often does the work leave the standard path?
Frequent exceptions increase review load and make full automation fragile. Start where the normal path is stable, and the exceptions are visible.
- Cost of failure.
What breaks when the automation is wrong?
A misrouted internal report creates annoyance. A wrong invoice creates cost. A compliance failure can stop the program.
Choose work where the team can learn without exposing the business to unacceptable risk.
The right first workflow scores high on frequency, pain, and data quality. It scores low on exceptions and failure cost.
Most teams choose the most ambitious workflow and stall.
Choose the boring one.
Choose the job that runs constantly, annoys everyone, follows a stable path, and causes limited damage when carefully reviewed.
Make it work.
Then expand.
