Q&A
How to start using AI at work for non-technical people?
Short answer
Start with repetitive daily text tasks that drain your energy, not by learning to code or using complex software. Pick one real job like cleaning up meeting notes or drafting a long email. Treat AI as an assistant for the first draft, check the output yourself, and build a consistent daily workflow before trying anything else.
Many non-technical people feel insecure when the office starts talking about AI. Their minds immediately jump to coding, math formulas, or complex software with confusing buttons. This is a misconception. In the office, AI is a tool to help you think and process text, not a computer science exam.
Over 20 years of building products at Tokopedia, Hijra, Flip, and founding 3 startups, I have learned one thing: changing how we work never starts with complex technology. It always starts with small frictions that slow down your daily tasks.
If you want to start using AI tomorrow morning at your desk, follow these three steps:
1. Find one text task that you are absolutely sick of doing.
Do not try to build a large scale automated system right away. Look for a daily task that uses text and repeats often: turning meeting transcripts into action items, summarizing long reports into three main points, or drafting a sales email. Tasks like these are the safest for practice because you know exactly what the right output looks like.
2. Treat AI as a smart intern who lacks context.
The most common mistake is giving a one line command and expecting perfect results. AI needs full context. Tell it the role it should play, who will read the document, and provide an example of the format you want. Remember, you are the final editor. Never copy and paste AI output without reading it and adjusting it to your voice.
3. Build your own workflow before involving others.
Focus on the productivity of your own desk first. Right now, I run an 8 channel content distribution system that I built and manage entirely on my own, without needing an engineering team for routine tasks. Once you feel your own working hours drop for a single task, then you can share your method with the coworker next to you.
Saving companies money is an old habit of mine, well before AI was trendy: over 4 million US dollars per year from various initiatives. Back then, that kind of leverage required a senior position, an engineering team, and expensive systems. Today, AI is the sharpest tool for that same habit, and it can be trained into everyone on the team. You do not need to be a programmer to have that much leverage in the office.
Just start with one document tomorrow morning. If you want to learn a practical AI framework that directly connects to daily office work, you can join AI Circle.