How to choose the first workflow to automate with AI agents

Look for work that repeats

If a task happens daily or weekly and follows the same steps each time, it is a candidate. One-off projects and work that needs fresh judgment every time are poor first choices.

A simple scoring checklist

• Frequency: does it happen often enough to matter?
• Clarity: can you write the steps on one page?
• Inputs: is the data already in a tool the agent can reach?
• Reviewability: can a person check the output in a minute or two?
• Risk: if it goes wrong, is the cost low and the fix easy?

Good first candidates

• Weekly competitor or market summaries.
• First drafts of social posts or newsletters for review.
• CRM hygiene: updating records from emails or forms.
• Sorting and routing incoming support requests.
• Recurring internal reports built from existing data.

Candidates to postpone

• Anything involving payments or irreversible actions without an approval step.
• Workflows with unclear ownership or no agreed definition of done.
• Tasks that depend on tools you cannot yet give access to.

Scope a pilot

1. Write the workflow as numbered steps and mark which ones need a human.
2. Decide the success measure, such as hours saved or turnaround time, using your own current numbers.
3. Run it with approvals on, and review every output for the first weeks.
4. Loosen approvals only for steps that have proven reliable.

Count the real costs

Model usage and third-party subscriptions are a separate cost from the service itself. Ask for them to be listed separately so you can see exactly what you pay for before you commit.