Automating Routine Tasks with AI
by admin in Productivity & Tools 15 - Last Update November 15, 2025
Honestly, I used to think 'automation' was a buzzword reserved for software developers and massive corporations. I'd spend hours every week on the same digital chores: sorting through hundreds of emails, manually pulling numbers for a weekly report, and the endless back-and-forth of scheduling meetings. It felt like I was running on a digital treadmill. The 'aha' moment for me wasn't a sudden flash of insight, but a slow realization that I was spending more time managing my work than actually doing it.
My first step: identifying the 'time sinks'
Before I even looked at a single tool, I forced myself to do something incredibly boring but valuable: I kept a work journal for one week. Every time I did a task that felt repetitive and brain-numbing, I wrote it down. By Friday, the list was alarmingly long. It was filled with things like 'copy-paste contact info from email to CRM' and 'download attachment, rename file, move to correct folder'. Seeing it all written down was the proof I needed. These weren't complex jobs; they were simple, rule-based tasks that were eating my day alive.
The low-hanging fruit of automation
I decided to start small, to avoid getting overwhelmed. I didn't jump into a complex automation platform. Instead, I explored the AI features already built into the tools I used every day. I spent 30 minutes setting up smarter filters and rules in my email client. I taught it to automatically tag messages from key clients, archive newsletters, and flag emails containing words like 'invoice' or 'urgent'. It was a small change, but the feeling of seeing my inbox manage itself was a massive win and gave me the confidence to go further.
Connecting the dots: where the real magic happens
After conquering the basics, I started exploring no-code workflow tools. This is where I felt I'd truly unlocked a new level of productivity. The concept is simple: you create 'if this, then that' recipes that connect your different apps. For me, the game-changer was linking my project management tool to my team's chat app. Now, whenever a critical task is marked as 'complete', an AI-powered workflow automatically drafts a summary and posts an update to the relevant channel. No more manual status updates. It's a simple connection, but it saves our team countless interruptions and meetings.
The mistake I made (and you can avoid)
In my initial excitement, I tried to automate a very complex, multi-stage client onboarding process. It was a disaster. The workflow was brittle, it broke constantly, and I spent more time fixing it than I would have spent doing the task manually. I learned a crucial lesson: automate predictable tasks, not complex creative processes. The goal isn't to create a rigid, human-free system. The goal is to build a team of AI assistants that handle the tedious bits, freeing you up for the strategic work that requires your unique expertise.
Today, I don't see AI automation as a way to do less work. I see it as a way to do more of the right work. It has given me back the headspace to think, to create, and to solve problems—the very things I got into my career to do in the first place.