Not every task should be automated!

You don’t have a time problem.

You have a decision-making problem hiding behind a busy to-do list.

Every founder reaches a point where the answer feels like: “I just need to automate more.”

But most of the time, that leads to even more complexity.

Let’s break it down.

Here are 3 common examples of bad automation logic we see every week:

Creating a system to chase overdue invoices

❌ What you think: “Let’s automate reminders to make sure clients pay.”

✅ What you should ask: “Why are clients paying late in the first place? Can we change the terms, the process, or the incentive?”

Building a long lead-nurture sequence

❌ What you think: “I’ll automate follow-ups over 21 days to keep them warm.”

✅ What you should ask: “Why aren’t leads converting sooner? Do they actually need this much chasing, or are we unclear on value?”

Automating team handovers in Slack

❌ What you think: “Let’s use AI to send project updates between departments.”

✅ What you should ask: “Is our delivery process overcomplicated? Why are so many handovers needed?”

If any of those examples felt uncomfortably familiar, good.

It means this email’s doing its job.

Efficiency doesn’t come from automating every task. It comes from questioning whether the task should exist in the first place.

That’s the mindset shift.

That’s what we help clients do inside our AI Efficiency Assessment, but even without that, you can start asking better questions right now.

So, for today:

– Dean & Felicity

👉 Learn more about the AI Efficiency Assessment