AI Framework for New Product Development in Engineering

This white paper outlines a scalable framework for the adoption of artificial intelligence (AI) in engineering, specifically aimed at enhancing new product development processes. It emphasizes the need for organizations to establish robust technical, organizational, and governance foundations to fully leverage AI's transformative potential. The document categorizes AI use cases into vertically integrated and horizontally integrated applications, highlighting the importance of horizontal integration for unlocking cross-domain synergies and improving overall product development efficiency. The paper discusses the significance of data quality, interoperability, and a strong governance framework to align AI initiatives with corporate strategy. It also addresses the challenges organizations face in realizing a comprehensive digital thread, which is essential for seamless data flow across the product lifecycle. By acting decisively now, companies can avoid fragmentation and inefficiencies, thereby gaining a sustainable competitive advantage in an increasingly AI-driven landscape.