{"id":27656,"date":"2025-10-14T09:30:32","date_gmt":"2025-10-14T02:30:32","guid":{"rendered":"https:\/\/innotech-vn.com\/?p=27656"},"modified":"2025-10-14T10:42:58","modified_gmt":"2025-10-14T03:42:58","slug":"6-step-in-ai-system-design-enhancing-businessess-operational-efficiency","status":"publish","type":"post","link":"https:\/\/innotech-vn.com\/vie\/6-step-in-ai-system-design-enhancing-businessess-operational-efficiency\/","title":{"rendered":"6 steps in AI system design enhancing business operational efficiency"},"content":{"rendered":"

Artificial Intelligence (AI) is no longer an unfamiliar concept but has become a core element in the digital transformation strategies of enterprises. From large corporations to small and medium-sized businesses, all recognize AI as a strategic tool that helps enhance competitiveness, optimize operational processes, and drive sustainable growth. Therefore, designing an AI system that can flexibly integrate with existing technological infrastructure is not only a trend but also an urgent requirement if businesses do not want to be left behind in the digital era. The following article introduces six essential steps in the AI system design process<\/strong>, helping businesses effectively implement and harness the potential of this technology in practical operations.<\/p>\n

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1. The importance of AI system design for business operations <\/span><\/h2>\n

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According to Harvard Business Review<\/em><\/a> (2023), up to 85% of business leaders reported feeling stressed and exhausted during the decision-making process. Three-quarters of them stated that the number of decisions they must make daily has increased tenfold in the past three years. After applying AI to analyze and handle problems, their decision-making process became much faster and easier, reducing over 30% of the workload compared to before.<\/p>\n

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Designing an AI system for enterprise operations is essential.<\/p>\n

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According to Deloitte Insights<\/em><\/a> (2024), as many as 94% of business leaders believe that an effective AI system design<\/strong> within the enterprise is a key factor in their success strategy for the next five years. Data analysis from more than 4,600 companies shows that those tightly integrating strategy, technology, and transformation capabilities can increase market capitalization value by USD 1.25 trillion, while misalignment may result in losses of up to USD 1.5 trillion. The report affirms that designing an AI-driven operational system not only helps optimize costs, increase efficiency, and scale up but also serves as a foundation for creating sustainable value and long-term competitive advantages for enterprises.<\/p>\n

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2. Six steps in the AI system design process <\/span>\u00a0<\/span><\/h2>\n

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In reality, many enterprises have understood the benefits of building and designing a comprehensive AI system and have begun planning to implement this process. However, the an AI system design process is not simple; it requires thorough preparation and deep technological understanding. Therefore, businesses need to study carefully before launching this critical project. <\/span><\/p>\n

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6 steps in AI design system<\/i><\/p>\n

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In general, the AI system design process includes six steps:
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Step 1: Define AI system design objectives<\/span><\/h3>\n

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Before starting the AI system design process, businesses must clearly define the business objectives that the AI system will serve.<\/p>\n

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Objectives should be tied to measurable outcomes such as: reducing operational costs by 20%, increasing revenue from existing customers by 15%, or shortening response time to just two seconds. This helps guide the AI system design more effectively.<\/p>\n

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This requires collaboration between the management team and technical departments to translate business goals into specific technical requirements such as:<\/p>\n

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