“Wow, you were very fast!” That was my client, calling me back within minutes of getting off our briefing call last week. We had spent an hour on the phone together. She walked me through her needs, the automation she wanted to drive, and her business goals.

Within five minutes of hanging up, I had sent her a seven-page Customer Requirements Document that covered: Her core business challenges How we planned to implement the automation A detailed project timeline Yes, as surprising as it sounds, an AI assistant helped me do that. I had a CRD skill set up in my Claude. I uploaded the call transcript, drafted the document in two minutes, I reviewed it for two more, and by minute five, it was sitting in my client’s inbox.

That is the power of an AI agent; it didn’t replace my job, but made me more efficient with the parts of it that used to eat up my day, so I could focus on the work that actually requires a human: the thinking, the relationships, and the judgment calls. Historically, summarising a one-hour call and writing up notes manually would have taken me at least half a day. A seven-page document would have needed a minimum of four to five hours to draft and edit.

As a founder running a startup, I can’t afford to hire multiple virtual assistants. And as someone who hasn’t written a single line of code, the idea of building my own AI agent system would once have been unthinkable. What changed it for me was the rise of low-code tools.

Today, I have three agents with specific skills working alongside me: One, who handles copywriting One, who writes technical documents One, who creates social media posts Each one is specifically trained for the way my business works. No fancy, hard coded, agentic system, just plain common sense, a clear brief, and the right tool for the job. Also Read: Inclusive AI isn’t optional – it’s Asia’s tech advantage Right now, the internet is buzzing about “agentification” and the rise of AI agents.

At the time of writing this, OpenClaw has taken the AI industry by storm, and that has led non-technical people like us to ask: what are we missing out on? For context: OpenClaw is an AI orchestration platform that allows non-technical users to build and connect intelligent workflows without writing a single line of code. The honest answer is that there is a significant gap between where the tools are, how fast they are developing, and how widely they are actually being adopted.

As someone who works closely with SMEs and MSMEs every day, I can say with conviction: adoption still has a long way to go. And the risk of overreliance on AI is very real. This is where things get murky.

The best AI-powered work is the kind where you genuinely cannot tell whether a human or a machine did it. But with all the hype around building agents, there is a growing FOMO among people who are not yet equipped to distinguish between machine learning, AI, and truly agentic behaviour. Since 2025, I have heard constant talk about AI replacing jobs.

But ask any corporate employee whether AI is truly delivering value at their organisation, and the honest answer is usually: not at the level anyone expected. Real AI value comes when you use an orchestrator to connect the systems you already work with, letting AI power those systems and reduce manual effort. It is about supplementing your work, not replacing your judgment.

As a brand owner, AI does not do my job. It assists me in doing my job better, faster, and with more perspective. Also Read: Why AI won’t replace developers — but CEOs must lead the transformation So when clients come to me overwhelmed and unsure where to start, I do not point them to a tool.

I ask them to follow a simple framework: Identify the one thing you most want to solve. The overwhelm of too many tools and too many business challenges is real. Start with the one problem that, if fixed, would make the biggest difference.

Automate something you have already done manually. Do not automate a task you have never done yourself. If you have never done it, you will not know what “good” looks like, and you will have no way to catch when the agent gets it wrong.

Be prepared to oversee the agent. Just as humans make mistakes, agents make mistakes too. Hallucination in AI tools is real.

Treat every output as work handed in by a capable but junior team member: it needs a human review, and that human touch, the one that understands context and nuance, is what makes the final output genuinely yours. AI agents are not magic. Neither are they threats.

They are like any other tool and their value depends entirely on the hands using them. The founders and business owners who will benefit most are not the ones chasing every new platform, but the ones who get clear on their workflow, pick one problem worth solving, and build thoughtfully from there. I will close with a message for the flood of AI-generated outreach emails I receive every week.

Please review your emails before you hit send. At my last workshop,