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How To Start Using AI Agents To Transform Your Business

AI agents can transform your business by automating tasks, streamlining operations, and boosting efficiency. Learn how to select, build, and deploy the perfect AI agent for your needs—and why human oversight remains vital.

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TL;DR – What You Need to Know in 30 Seconds

  • Pinpoint your core pain points so you know exactly what you want your agent to solve.
  • Choose the right tool: collaborative, automation, or social AI agents have distinct roles and strengths.
  • Tread carefully: build your agent step-by-step and pilot it before a full-scale launch.
  • Keep it human: no matter how advanced your agent is, you’ll need oversight and guidance to make it thrive.

Can AI Agents Can Really Transform Your Business?

Could 2025 Be the Year of AI Agents?

These brilliant, autonomous systems are set to take centre stage by making decisions and executing tasks without the need for constant human prodding. It’s no wonder that savvy business leaders across Asia (and beyond!) are champing at the bit to integrate them into their workflows. After all, who wouldn’t want to delegate time-consuming tasks to an unfailingly efficient digital helper?

But, as with any major tech leap, bringing AI agents into your business isn’t something you do at the drop of a hat. Trust me—my team and I recently built and launched our very own AI agent. The learning curve was steep, and along the way, I discovered a series of crucial steps you can’t afford to skip if you want to do it right. So, get comfy, and let’s explore how these pint-sized powerhouses can transform your operations.

Identify Your Business Needs

Let’s be honest: we’ve all been witnessing peak AI mania this past year. From wacky (and sometimes pointless) inventions like the $3,500 AI-enabled toaster to questionable ChatGPT-authored blog posts, it’s been a rollercoaster. Yet for all the hype, AI genuinely has reimagined the way we work. Its ability to process massive volumes of data and automate complex processes is beyond impressive. In fact, it can be downright revolutionary.

Still, in the rush to try every fancy new AI tool on the market, it’s easy to lose sight of what you actually need.

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“Why should executives be the only people that have a ghost writer that writes their emails or does their slides? Imagine, now, all employees have that power?”
Phu Nguyen, Head of Digital Workplace, Pure Storage (via Wall Street Journal)
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Phu Nguyen’s point perfectly illustrates the potential scope of AI empowerment in the workplace. But remember, before you throw an agent at every minor problem, sit down and identify the core challenges you face.

Whether you’re looking to speed up customer service response times, reduce operational bottlenecks, or optimise your supply chain, a clear understanding of the problem you need to solve is vital. Otherwise, you’ll risk investing in an agent that creates more headaches than it cures.

Pick Your AI Agent

Here’s the thing: not all AI agents are created equal. Much like your toolbox at home, you’ve got different gadgets for different jobs. You wouldn’t reach for a hammer if you needed to tighten a screw, would you? So, once you’ve outlined your business woes, it’s time to figure out which type of agent can best tackle them. Let’s take a look at three common flavours:

  1. Collaborative AI agents
    Picture a small family of AI agents all pitching in to complete a task. AirOps is a great example: it’s a “content orchestration system” that taps into multiple tools and strategies to produce top-notch, SEO-friendly content—overseen by a real human to ensure quality. It’s like having a mini marketing team working 24/7!
  2. Automation AI agents
    These whizz-kids can handle entire tasks and processes with minimal (or sometimes zero) human input. Take Otter Pilot from Otter.ai: it automatically hops into virtual meetings, records and transcribes them, then fires off a tidy summary and action items to Slack or email. Essentially, it’s your personal meeting scribe—but one that’s never late, never tunes out, and never complains about taking notes.
  3. Social AI agents
    More people-focused, these are the chatty types. They excel at customer support, appointment scheduling, and giving you tailored information without forcing you to scour the web. If you’re dreaming of a kid-friendly, all-inclusive beach holiday that’s within driving distance and under a strict budget, a social AI agent can serve up your perfect itinerary—no more sifting through pages of reviews or questionable travel blogs.

Building And Releasing Your AI Agent

Now, if you’re a non-techie founder and the thought of building an AI agent makes you break out in a cold sweat, don’t worry. There are oodles of no-code resources out there that have your back. According to a white paper recently released by Google, two standout platforms are LangChain and Vertex AI.

LangChain, an open-source framework, is especially handy for connecting Large Language Models (LLMs) to external data sources. Meanwhile, Vertex AI lets you train, deploy, and customise AI models and applications in a snap—perfect for development teams that want to focus on finessing their agents instead of juggling the complexities of model building. You can read more about LangChain here, and visit the Vertex AI Studio here.

However you choose to build your AI agent, make sure you don’t leap straight into a massive, enterprise-wide rollout. Take it step-by-step. Begin with a small pilot, gather feedback, spot any bugs or bizarre behaviours, and fix them before letting your new digital assistant run riot across your entire organisation.

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Why bother with this slow-and-steady approach? Well, as Google’s white paper notes, “no two agents are created alike due to the generative nature of the foundational models that underpin their architecture” 2023 Google White Paper on Generative AI. In plain English: your AI agent is going to behave uniquely, and the only way to refine it is through experimentation, feedback, and ongoing tweaking. That’s how you’ll strike gold (or at least avoid a meltdown).

The Human Touch Remains Essential

With all the hype and glittering potential of AI agents, it’s tempting to think: Set it and forget it. But let’s pump the brakes there.

“Just as in traditional, human workforce settings, managers must still pay heed to issues of team composition and role selection, and they must set the right overall goals to ensure that agentic AI or hybrid teams can be successful.”
Mark Purdy, Harvard Business Review
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In other words, your AI agent is not a magic wand. Yes, it can supercharge productivity and slash tedious busywork, but it still needs oversight, guidance, and purpose. Think of AI agents like members of your team: train them, guide them, set the right objectives, and you’ll unlock dazzling new levels of efficiency and creativity. Let them run rampant without proper guardrails, and, well, don’t be surprised if something goes awry.

Final Thoughts

AI agents have already begun to reshape the global business landscape. From automating everyday tasks to orchestrating more complex, multi-step projects, they’ve become indispensable for companies looking to stay ahead. But success depends on identifying why you need them in the first place, choosing the right one for the job, rolling it out carefully, and giving it ongoing human supervision.

Will 2025 truly be the year of the AI agent? If current trends are anything to go by, absolutely. Businesses that embrace AI agents with strategy, foresight, and a healthy dose of realism stand to gain a competitive edge in the coming years. Will you be one of them?

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