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Building Products that Think: Integrating AI Intuition into Design Strategy

Anthony Ogechukwu Okolo, Queeneth Etelaowoni Ogbeche, Raliat Abe, Kehinde Oluwasayo Akinola, Stephen Alaba John

Abstract

Even with all the recent progress in artificial intelligence, many products still behave in very basic ways. They mostly react after something happens, follow fixed rules or rely on data analysis done after the fact. Much of the existing studies also treat AI mainly as a tool for automation and efficiency, with little attention to how it can work alongside human intuition to support smarter, knowledge-based product design. This study steps into that gap by exploring how AI intuition can be built into design strategy to create products that think, products that can learn, understand context and support shared decision-making between humans and machines. The study uses a systematic literature review and a narrative thematic analysis of studies drawn from product design, artificial intelligence, decision science and knowledge management. It brings together ideas from Information Processing Theory, Dual-Process Theory, the Knowledge-Based View of the firm and Human-AI Co-creation. The review shows that AI adds the most value when it is treated as a cognitive partner that supports and strengthens human intuition, rather than trying to replace it. Key themes from the literature include AI-supported product customization, intelligent product lifecycle management, AI-assisted strategic decision-making and ongoing knowledge creation through human-AI interaction. Based on these insights, the study presents AI intuition as a capability that emerges when data-driven analysis, human experience and continuous learning are combined throughout the product lifecycle. By shifting attention away from pure technical efficiency and toward intuitive reasoning and knowledge sharing, this study deepens our understanding of AI-driven design strategy. It also offers practical insights for organizations that want to build intelligent, adaptable and ethically responsible products, while laying the groundwork for future empirical studies on how AI supports design thinking.

Keywords

Artificial IntelligenceAI IntuitionProduct Design StrategyIntelligent Products

References

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