You Think Buying ChatGPT Plus for the Whole Office Is Enough?

You bought ChatGPT Plus for the whole office and expect productivity to jump tenfold. Keep dreaming.

I have spent 20 years in the tech industry, managing products at Tokopedia, Hijra, and Flip, and building three startups. Now, I focus on applied AI. I run AI Circle, build the Applied-AI Certification, and train companies on how to use these tools.

From my time inside corporate offices, I see a sad pattern.

Bosses think AI is a magic pill. They buy licenses, hand them out, and wait for efficiency to skyrocket.

The reality is far from it.

Your team will play with the tool for a week. They will draft a polite email or write a funny poem. Then they will go right back to their old ways.

Why? Because they have no idea how to integrate AI into their actual workflow.

AI is not about technology. It is about change management. You cannot hand out a tool without changing how work gets done.

Making companies efficient is an old habit of mine. It started long before AI became a trend.

My track record shows over $4 million in cost savings per year. Those savings happened before the AI era. They came from various cost saving initiatives: fixing broken processes, optimizing costs, and making better product decisions. Automation was just one part, not the whole story.

Back then, that kind of leverage required my position as a product leader. It required dedicated engineering teams and expensive systems.

Today, AI is the sharpest tool for that exact same habit. The difference is you no longer need an engineering department. This leverage can now be trained into everyone on your team.

I proved this myself. I am a product guy, not an engineer. But using AI, I built an 8-channel content distribution system that I operate completely alone. It runs my content engine daily. Alongside that, I built the Applied-AI Certification and run AI Circle.

If you want to stop your AI investment from bleeding money, the answer is not more software. It is a change in approach.

Do not start with the technology

The biggest mistake companies make is asking how they should use AI. That is the wrong question.

Start with the problem. Which process wastes the most time? Is it compiling weekly reports? Pulling numbers from five dashboards? Drafting responses to angry customers?

Find the friction. Focus your AI efforts there. Solve one real, painful problem first. Once the team sees a tangible benefit, they will want more.

Build AI Champions in every division

Do not dump your AI rollout on the IT department.

Your IT team is highly capable, but they do not understand the daily headaches of marketing or HR. They do not feel the pain of customer support.

Find one naturally curious person in every division. These are your AI Champions. Train them specifically. Give them space to experiment with workflows that matter to their department.

Let them lead by example. Peer influence works better than a company wide mandate. When marketing sees a colleague finish a massive task in a fraction of the time, they will pay attention.

Build an internal prompt library

Staring at a blank chat interface is intimidating. Most people type something generic and get a useless result.

Do not force every employee to start from zero. Writing good instructions is a skill.

Collect prompts that are proven to work for your business. If someone figures out how to clean up a messy spreadsheet, save that instruction. Put it in an internal Notion page or a shared document.

Build a library. Make it incredibly easy for your team to copy, paste, and tweak. Lower the barrier to entry.

Lower your early expectations

AI is not magic. The first draft it produces is often bad. This is where most people give up.

You need to teach your team to shift their mindset. They must transition from being operators who execute tasks to being editors who guide a system.

Iteration is the core skill. You prompt, review, refine, and prompt again. If your team expects perfection on the first click, they will fail. If they understand that output requires editing, they will thrive.

Stop paying for expensive decorations

If you pay an expensive monthly subscription per person just to paraphrase emails, you are losing money.

Start small. Solve one real problem. Prove the value. Once you feel the actual impact on your operations, scale up to bigger challenges.

Now, go check your billing dashboard. Are those accounts actually being used to improve how your company works, or are they just expensive decorations?

If you are an individual looking to build these skills and get serious about applied AI, join us at /ai-circle/.

If you want to train your company to stop wasting money and start building real operational leverage, let's talk at /corporate/.