In the era of artificial intelligence and sensory machines, data integrity appears to be at risk more than ever due to the lack of sufficient data inspection tools and research materials. It is becoming increasingly obvious that the transparency of data changes in every industry is weakening every day, and modern research addresses this problem very little. This study tackles this problem by bridging intelligent systems with design patterns that were analyzed by using research papers from reputable journals and specific data integrity algorithms fused with popular design patterns, which were implemented in smart cities. Many different algorithms and design patterns were found that can be automated using intelligent systems that can optimize data integrity and avoid data corruption and errors. Lastly, this paper’s findings contribute mainly to data science, research gaps, and optimization of data tracing in tons of industries, especially management, business, and technological advancement that can aid in the digitalization of urban areas.