The 70/30 AI Buy vs. Build Framework is a strategic approach that emphasizes purchasing scalable platforms from established vendors while customizing AI solutions to meet specific business needs. This framework addresses the common challenge of AI initiatives stalling during the pilot phase due to complexity in decision-making regarding software acquisition. By adopting a balanced strategy of 70% buying proven technologies and 30% building tailored applications, businesses can accelerate their AI deployment, achieving quicker time-to-value and better adaptability. Targeting industries with intricate service operations, this framework helps organizations streamline data integration and enhance customer experience, leading to measurable business outcomes. Entrepreneurs can implement this framework by first identifying key areas where existing solutions can be leveraged, and then focusing their development efforts on custom AI algorithms and integration processes that align with their unique operational requirements.