Not every manual task deserves an AI agent. Before spending money on automation, run the workflow through these four checks.
Automation works best on tasks that follow a pattern — sorting tickets, extracting data from a form, updating a CRM field. If the task changes meaningfully every time, it's a poor first candidate.
A task done twice a month rarely justifies build cost. A task done daily, even if it only takes 10 minutes, adds up to real hours over a year.
Automation needs to read from and write to your existing tools — CRM, inbox, spreadsheet, database. If the data lives only in someone's head or on paper, that's a prerequisite step, not a blocker, but it changes scope.
Low-stakes errors (a mis-tagged support ticket) are fine to automate fully. High-stakes errors (an incorrect refund, a wrong medical or legal detail) need a human checkpoint built into the workflow, not full autonomy.
If a task is repetitive, frequent, has accessible data, and low-to-medium error cost — it's a strong automation candidate. If it fails two or more of these, start smaller or automate a sub-piece of it instead.
We run this exact check for free on a 30-minute discovery call before quoting anything.