Every construction and engineering firm exploring AI eventually hits the same fork: build something internal with a small data science team and general-purpose models, or buy a platform that's already purpose-built for the industry. Both paths can work, but they carry very different costs, timelines, and risks that rarely get spelled out clearly upfront.

On the WisyPlan blog, I walk through the real trade-offs, from data privacy and domain-specific accuracy to integration effort and total cost of ownership, and offer a practical framework for deciding which approach fits your team's size, maturity, and the actual problem you're trying to solve.

Read the full article on WisyPlan →