Thinking about building an in-house AI team? It’s a tempting idea — after all, having your own AI experts can give your business a competitive edge. But before you dive in, it’s important to understand the full picture. Developing AI solutions isn’t like traditional software projects. It requires ongoing experimentation, high-quality data and specialized talent that’s both hard to find and expensive to retain.

In this blog post, we’ll explore the key considerations for building an AI team, from budgeting and timelines to managing expectations. We’ll also discuss when it makes sense to leverage external expertise, such as pre-trained AI APIs or custom AI solutions, to accelerate innovation and reduce risks. Whether you’re a business leader or a tech enthusiast, this guide will help you make an informed decision about your AI strategy.