The rapid adoption of AI tools—including generative AI, Microsoft Copilot, and no-code automation platforms—is transforming how individuals and organizations interact with technology. Yet, successful adoption requires human-centered workflows that balance efficiency, usability, and cognitive well-being. This paper examines the intersection of productivity-focused AI and human-computer interaction, demonstrating how generative AI can be integrated with interactive systems, visual interfaces, and decision-support tools to improve efficiency, reduce cognitive load, and enhance collaboration. Using real-world case studies, we show how AI can automate routine tasks, streamline communication, and complement existing HCI systems without compromising user experience. Key contributions include a framework for designing AI-augmented workflows, practical guidelines for implementing human-centered automation, and strategies for measuring the impact of AI tools on productivity, user satisfaction, and organizational outcomes. This research emphasizes ethical, inclusive, and accessible design principles, ensuring AI adoption supports both individual and organizational success. The findings provide actionable insights for researchers, designers, and practitioners seeking to integrate AI into interactive systems while prioritizing usability, human agency, and long-term adoption.

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