Build vs. Buy Insurance AI: Why Building AI In-House Will Cost More Than You Planned

Building AI in-house feels like control. You own the roadmap, the data, the stack. It's an appealing idea, especially when off-the-shelf solutions don't seem like a perfect fit. But for most insurers, the real costs don't show up until after launch. By then, you're already committed to a path that's harder to walk back than anyone anticipated.

This infographic breaks down why in-house AI projects consistently run over budget, over capacity, and under expectations. The hidden costs aren't in the build. They're in everything that comes after it. If you're weighing build vs. buy, this is the case for slowing down and thinking it through before you break ground.

Download the infographic to learn:

• Why the initial build is rarely the biggest expense
• What happens to your engineering team after go-live
• Why purpose-built vendors have the advantage