Build vs Buy: Should You Build Your Own AI Support Agent?

Dec 20255 min read

A comprehensive analysis of when to build your own AI support solution versus buying an existing one. Consider costs, time, and capabilities.

I get the temptation. You're smart. You've got great engineers. You read a few LangChain tutorials and now you're 3 prompts away from "revolutionizing customer support."

For many teams, the next question becomes: should we just build our own?

And to be fair — there are real reasons to build. More control, more flexibility, full ownership of the stack. But before you dive in, it's worth going in with eyes open. Because while the demo might take a weekend, production-grade AI support is a different beast entirely.

If you're weighing up whether to build or buy, here's how to think about it.

Build

Pros

  • Full control over the system
  • Can customize to exact specifications
  • Own the IP and data

Cons

#### The Cost Is Way Higher Than You Think

It all comes down to cost, so let's do the math:

  • An AI engineer = ~$200K/year
  • You'll need at least 2 of them
  • Oh, and LLM cost, compute cost, eval tooling, observability, etc.

That's easily $500K+ annually. Even if the software is "free," the team maintaining it definitely isn't.

Buy

Pros

  • Fast to deploy
  • Proven, battle-tested solutions
  • Ongoing maintenance and updates included
  • Can focus on core business

Cons

  • Less customization (though this varies by vendor)
  • Vendor dependency

When to Build vs Buy

Build if:

  • You have 1M+ monthly support tickets
  • You already employ a full-stack AI team
  • You're allergic to vendors

Buy if:

  • You want something that works
  • You want to move fast
  • You want your team focused on what actually matters

Why We Built Duckie

That's why we built Duckie — so you don't have to. At Duckie, we take a hybrid approach. You get a strong foundation out of the box — a support agent that can answer and resolve tickets with solid reliability.

We give you the building blocks: agent tools and workflows builders. You can define triggers, conditions, and actions to tailor how Duckie handles different ticket types or scenarios. You can plug it into your existing systems.

We obsess over AI support, so you can focus on building the thing you actually want to be known for.

Want to see Duckie in action? Book a demo.

P.S. If you're still considering building your own AI agent, I'd genuinely love to chat. Either to help you avoid the pain... or to hear your war stories later. Both are fun.

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