AI agents for business. Meet your next digital team member.

There’s a new kind of team member making waves in businesses of every size: the AI agent.

If you're picturing a robot in a tie, close. AI agents are essentially digital staff members. Think of them as your tireless, always-on, never-sick digital twin. They take on the mundane, repetitive bits of your role so you can do what humans do best: think, create, and solve real problems.

Whether you're running a solo operation or overseeing a complex org chart, the idea is the same. AI agents free up time. They create space for better decision-making. And they can help your team punch above its weight.

What is an AI agent, really?

At its simplest, an AI agent is software that acts with a degree of autonomy to complete tasks or workflows. They can read, write, respond, update, generate, and even make decisions. They're trained to take action, based on a combination of logic, instructions, and increasingly, a layer of generative AI smarts.

And here’s the good news: you don’t need to be a data scientist to get started.

Enter Relevance AI: A no-code gateway to AI agents

Sydney-based startup Relevance AI is making it easy for anyone to bring agents into their business. Their platform allows users to build, deploy, and monitor agents using no-code tools that most people can pick up with a bit of curiosity and a few hours of training.

At a recent gathering, I spoke with the Relevance team, alongside other leaders in digital and innovation, including the Head of Digital at Zembl and the CTO of Cent. Each offered unique takes on where this tech is headed and how to navigate it.

From the Relevance team, the key takeaway was: this is accessible. You don’t need a team of engineers to experiment with AI agents. The tools are built for operators, marketers, founders, and admin teams alike. I'd also like to point out, they haven't asked me to speak on their behalf, but I was suitably interested in what they had to say, and how they are passionately going about launching and growing a new technology, from my home town of Sydney.

Lessons from the field

From the CTO of Cent, the discussion turned to governance. In large organisations, deploying AI agents isn’t just a tech play, it’s a compliance, legal, and reputational exercise. Who’s accountable if an agent goes rogue at 2am and sends 500 customers the wrong message? What checks and balances need to be in place? Are you running agent pilot programs? Do you appoint internal champions or run hackathons to accelerate learning?

Then there’s hierarchy. If agents are autonomous, how do you design the chain of command? Should agents report to humans, or to other agents that act as managers? These aren’t sci-fi hypotheticals. They’re design decisions that businesses are making today.

Building a new kind of team

Every AI agent needs a job description. What do you want them to do? What are their hours? How often should they check in? When should they hand off to a human? Can they publish, or do they need approval?

It sounds like HR, because it is. Implementing AI agents isn’t just a tech job—it’s people strategy. You’re not adding a tool, you’re onboarding a new team member.

And just like with humans, you can’t expect success without clarity. Without a clear scope and structure, agents will underdeliver or overstep.

Small business, big leverage

For small and medium businesses, the potential is enormous. AI agents can help bridge the gap between hiring your first staff member and building a fully resourced team. For founders doing it all, they represent a way to delegate without the legal and financial overhead of hiring too early.

Imagine testing a new sales process with an agent. Or managing your inbox while you sleep. Or posting to socials automatically, based on a brand tone and content calendar. These aren’t theoretical. They’re happening now.

And the dream? Networks of agents that collaborate, pass tasks between each other, and make smarter decisions as a unit. It’s early days, but that’s where we’re heading.

What we’re doing at Lobos

At Lobos, we’re experimenting with agents in a way that fits our size and speed. We’re starting small, helping manage socials, clear inbox clutter, and handle repetitive admin. But we’re doing it with intent. Every agent we test has a defined scope. We treat them like new hires, because that’s what they are.

Our aim is to scale capability without bloating headcount. To learn what works and what breaks. To build a proof of concept that shows how a lean business can punch way above its weight using smart digital help.

If you’re thinking about agents for your business, start by asking: what’s the most boring part of your day? That’s probably where your first agent should go.

If you're ready to explore how AI agents can amplify your team without the overhead, get in touch. Let's build your digital staff, together.