How we saved 10 hours a week with AI automation

Six months ago, I sat down and worked out how much time Paul and I spent each week on repetitive tasks. The answer was depressing. Between us, we were losing over 10 hours every week to things that did not need a human brain.

Today, most of those tasks run on autopilot. We automated them using AI, and it did not cost us a fortune. In this article, I am going to show you exactly what we automated, how we did it, and what you can learn from our experience.

What were we spending all that time on?

Paul and I run several businesses together. We have a tutoring company, educational websites, and now Smash Your AI. Before we started automating, here is where our time was going each week:

None of these tasks were difficult. They were just time-consuming and repetitive. That is exactly the kind of work AI is brilliant at.

How did we decide what to automate first?

We did not try to automate everything at once. That is a mistake I see businesses make all the time. They get excited, try to change everything overnight, and end up overwhelmed.

Instead, we used a simple framework. For each repetitive task, we asked three questions:

1. Is this task mostly the same every time? If yes, it is a good candidate for automation.
2. How much time does it take per week? We focused on the biggest time sinks first.
3. What is the risk if AI gets it slightly wrong? We started with low-risk tasks where a small error would not cause problems.

Weekly reports scored highly on all three. They followed the same format every week, took hours, and a minor formatting issue would not be a disaster. So we started there.

What did we actually automate?

1. Weekly business reports

Before: Every Monday morning, I would log into three different analytics dashboards, pull out the key numbers, write a summary, format it, and share it. It took about three hours.

After: I built an automated script that pulls data from all three dashboards, generates a formatted report with AI-written commentary on the trends, and publishes it automatically every Monday at 9am. It runs without me touching it.

Time saved: 3 hours per week.

The AI does not just dump raw numbers into a document. It actually analyses the trends and writes things like "website traffic increased 12% week on week, driven primarily by organic search. This continues the upward trend from the previous three weeks." That is the kind of insight that used to take me time to write manually.

2. Content creation

Before: Writing revision notes for our educational websites meant researching the topic, structuring the content, writing it up, and checking it against the exam specification. Each set of notes took about 45 minutes.

After: I created a system where AI drafts the initial content based on the exam specification, structures it in our house style, and flags areas where I need to add specific examples or check accuracy. I then review and refine it, which takes about 15 minutes per set.

Time saved: about 2 hours per week across all the content we produce.

The key here is that the AI does not replace me. It does the heavy lifting on the first draft, and I add the human touch - the examples from my teaching experience, the exam tips that only come from years in the classroom. The combination is better than either of us could do alone.

3. Email and enquiry handling

Before: We would get the same types of questions repeatedly. "How much does tutoring cost?" "What subjects do you cover?" "How do I book a session?" Each reply was essentially the same with minor tweaks.

After: We set up template responses powered by AI that can adapt to the specific enquiry. The AI reads the incoming message, identifies what type of question it is, and drafts a personalised response using our templates. I review each one before it sends, but that takes seconds rather than minutes.

Time saved: about 2 hours per week.

4. Social media content

Before: Staring at a blank screen trying to think of what to post. Writing it. Rewriting it. Scheduling it. Repeat five times a week.

After: Once a month, I spend about 30 minutes with AI brainstorming content ideas based on what is topical, what has performed well before, and what our audience is asking about. The AI drafts a month's worth of posts in different formats - tips, questions, stories, case studies. I then edit them to add my voice and schedule the lot.

Time saved: about 1 hour per week.

What tools did we use?

People always ask this, expecting some expensive, complicated software. The reality is much simpler:

• ChatGPT and Claude for content generation and drafting.
• Claude Code for building the automated report system and custom tools.
• Google Sheets and Docs for organising templates and outputs.
• NotebookLM for working with our own documents and specifications.

No fancy enterprise software. No expensive subscriptions. Just smart use of tools that are mostly free or very affordable.

What did we learn from the process?

A few things that surprised us:

• Start small. Our first automation was a single report. Once that worked, confidence grew and we tackled bigger things. Do not try to automate your entire business in a weekend.
• Keep a human in the loop. AI is brilliant at first drafts and data processing. But every output should be reviewed by a human before it goes anywhere important. This is not optional.
• Document what you automate. Write down what the automation does, how it works, and how to fix it if something goes wrong. Future you will thank present you.
• The time savings compound. 10 hours a week is 40 hours a month. That is an entire working week we got back. Over a year, that is over 500 hours. The impact is enormous.
• It changes what you focus on. Once the routine work was handled, Paul and I could focus on strategy, new ideas, and growth. That is the real value - not just saving time, but spending it on things that matter more.

How can you start automating in your business?

If this article has got you thinking, here is what I would suggest:

1. Track your time for one week. Write down every repetitive task and how long it takes. You will be surprised how much time you are losing.
2. Pick one task. Choose the one that is most repetitive, takes the most time, and is lowest risk. That is your first automation project.
3. Start with ChatGPT. Before building anything complex, see if you can speed up the task just by using AI to help. Often that alone cuts the time in half.
4. Build from there. Once you have one win, use that momentum to tackle the next task.

If you want help identifying what to automate in your business, we offer a free AI audit where we look at your current workflows and show you exactly where AI can make the biggest difference.

Or if you want to learn to do it yourself, our online course has a full module on AI automation, complete with step-by-step walkthroughs you can follow.