I use AI a lot on the business planning side.
Some of the biggest time savers for me are research, comparing options, creating repeatable processes, drafting content, breaking down costs, and thinking through business decisions before I spend money.
One thing I’m becoming more interested in is moving beyond just asking AI questions and actually connecting workflows so routine tasks happen automatically. The examples here with lead follow-up, scheduling, CRM updates, and customer communication really show how much further it can go.
For me the goal is not just using AI more. It is figuring out which repetitive tasks I should stop doing manually.
The filter I'd use is whether the task is triggered by something Jobber already knows, and whether the output is the same every time. Those two together are what makes something safe to automate.
Visit completed, invoice unpaid for thirty days, quote sent and never opened, agreement coming up on its renewal date. Jobber knows all of those the moment they happen, and what you want done about them is the same every time. That's the automatable set.
The ones that look automatable and aren't are the judgment calls. Pricing an unusual job, deciding whether to eat a mistake, which customer gets squeezed into a full day. AI will happily answer those and you will spend longer checking the answer than you would have spent deciding.
If you want somewhere to start, look at whatever you are currently tracking in your head or in a spreadsheet alongside Jobber. That is the task the system should have been doing for you, and it is usually the one worth automating first.
