Build vs Buy for AI Agents

Almost every other leader I talk to lately says they're building their own AI agents.

And I get it. The tools are here. The skill barrier is lower with AI. You can build an agent in a few days.

But I’ve been thinking, when does ‘build’ actually become baggage?

Fundamentals first - what are AI agents?

Agents are autonomous systems that can independently interact with various web components and act on the guidance of the humans to achieve a specific goal.

They can fetch data, process tasks, talk to other systems, etc. on the guidance of the humans to achieve a specific goal.

Software agents are not entirely new. We’ve had rule-based bots and Robotic Process Automation (RPA) scripts for years. But those were expensive. They’d break when anything in the workflow changed.

Now what’s changed is the backbone.

Large language models (LLMs) have made these agents smarter, more adaptable, and capable of chaining complex steps together. Now, an agent can reason, plan, and even hold a conversation that feels almost human.

That shift is changing the way "automation" can be done.

Why everyone’s building

Every company wants to do more with less, and AI agents fit that dream neatly.

They not only help automate tasks, but with reasoning. They promise a future where:

• Repetitive work is handled by a “digital workforce.”

• Human teams can focus on creativity, more valuable work.

• Ultimately, teams are more productive.

And for the first time, it feels possible. The tech is mature enough. The business need is urgent enough. The timing feels right.

But here’s the quiet part nobody says out loud

Building feels exciting. You have the engineering resources. Shipping your own agent feels like an innovation. And, all of this is absolutely fair!

That’s also when the real work starts. Reliability. Monitoring. Logging. Cost controls. Suddenly, you’re not building once, you’re maintaining forever.

You’ll own the model costs as usage scales. You’ll own the patchwork of tools and APIs and safety checks and review queues.

And that ownership cost is the sum of engineering hours, focus, and risk.

When buying off-the-shelf agents makes sense

When you think of a tool or system, don't just think of the craftsmanship. Think what outcomes it makes possible.

Buy that readily available agent when you:

• Need quick wins and productivity improvements early. 

• Want governance, security, and compliance handled from day one.

• Have non-technical users in your team who will be using this to build flows and manage runs.

• Prefer not to absorb the pain and effort when APIs change or models shift.

The better question

The build vs buy dilemma has been ever since. Maybe it’s not “build or buy.”

I'd think of it as - what gets us(as a team) to outcomes that matter to us fastest?

If that agent will become one of your core differentiator or your expertise, effort, and maintenance costs together are lower than a vendor’s price, build.

If not, consider alternatives or buy. If you’re unsure, that’s your answer too.

Because sometimes, the goal is not to build something smart. It's to get to that outcomes the tool will enable.