Insights / Company
A founder's guide to picking your first AI automation project
Guide · 2026-06-12 · 2 min read
Most founders' first mistake with AI automation is choosing the project that sounds most impressive instead of the one that actually saves the most time. Here's a short, practical way to pick correctly.
Step 1 — List the tasks nobody wants to do. Not the interesting problems. The dull, repetitive ones: the weekly report someone re-builds by hand, the same three follow-up emails sent every day, the invoice reconciliation nobody looks forward to.
Step 2 — Measure the real time cost. Time each task honestly for a week. Multiply by frequency. Most founders are surprised how much of a "small" task adds up to over a month.
Step 3 — Rule out anything that needs judgment you can't yet define. If explaining the decision rule to a new hire would take you 20 minutes of "well, it depends," it's not ready for automation yet — you need to make the decision consistent first, then automate it.
Step 4 — Pick the smallest version that's still real. Not "automate customer support." Automate one specific ticket type. Not "automate finance." Automate one specific report.
Step 5 — Set one number you'll actually check. Hours saved per week, or turnaround time, not a vague sense that "it's helping."
If you get through this list and land on something concrete, that's a real first project — not a strategy deck. That's exactly the scoping conversation we have with every new client before recommending anything, through Consulting.
