Give your AI assistant a job, not your office manager's access
An AI assistant can use every permission you give it. So give it a job before you give it a login.
Automation¶
Reading every AI draft forever is not the safe option
Read every output when an automation starts. Then decide, in writing, when you stop.
Before you worry about the AI's mistakes, count the ones you already make
Ask an owner why a repetitive job is still done by hand, and the answer is rarely cost. It is some version of "what if it gets one wrong?"
The safest automation to start with is one that checks, not one that does
A small retailer with several locations set up one nightly check. It compared supplier invoices against what the stores actually received. In its first month, it caught a five-figure billing error.
The tool under your automation is about to change: five questions to ask first
Your invoicing automation ran every Monday for eight months. Last Monday it did not. Nobody on your team touched it.
The AI can draft your whole workflow now. That was never the hard part.
Type a sentence. Get back a working, editable workflow. That is where the major automation platforms landed this month, and it is not a demo reel. The thing runs.
Your automation says success. Did it actually do anything?
Most automation failures announce themselves. A step errors out, an alert fires, someone gets an email. Those are the easy ones.
Your AI pilot worked and nothing changed
The pilot ran for six weeks. It worked. Everyone agreed it saved real time.
An AI mistake just reached a customer. What you do in the first hour
An automated quote goes out at 10:40 on a Tuesday. The price is wrong by a factor of ten. A customer has already opened it.
What not to automate, and how to tell a real boundary from an excuse
A 40-person logistics firm wanted to automate its customer complaint responses. The volume was there. Around 30 a month, all arriving by email, all needing a reply inside a day. On paper it was a clean candidate.