This checklist-style ebook helps organizations decide whether to build AI solutions in-house or purchase an existing AI platform. It presents nine practical questions that evaluate technical expertise, budget, scalability needs, time-to-market, and long-term maintenance costs. The framework highlights the concept of machine-learning technical debt and the hidden operational burden of maintaining custom AI systems. Readers score their responses to determine whether buying an AI solution may deliver faster value with lower risk. The ebook is designed for business and technical leaders seeking a clear, structured decision-making tool to balance innovation goals against resource constraints, infrastructure complexity, and ongoing model performance requirements.

Join for free to read