Core Insights - The article emphasizes the transformation of enterprises into "AI native organizations" through six dimensions: unified cognition, intelligent execution, decision-making hub, memory evolution, intelligent agent factory, and AI governance [1][3][23] - It highlights the limitations of traditional AI tools, which often remain as passive assistants rather than active participants in business processes [8][10] Unified Cognition - The first step towards an AI native organization is addressing the issue of scattered knowledge, enabling real-time, complete, and callable information [5] - The "intelligent knowledge hub" of Whale Intelligence allows AI to understand the entire business context, facilitating automatic report generation without manual data gathering [5] Intelligent Execution - The goal is to transition AI from a passive role to an active participant in business processes, enabling it to autonomously complete tasks [8] - Whale Intelligence's multi-agent collaborative engine allows for dynamic task orchestration and integration without disrupting existing systems, significantly reducing HR's administrative workload [8] Decision-Making Hub - AI is positioned as a strategic partner in core decision-making processes, moving away from reliance on experience-based decision-making [10][11] - The system can autonomously understand complex directives and break them down into actionable tasks, improving decision-making efficiency and accuracy [11] Memory Engine - The memory engine enables organizations to accumulate knowledge and experience over time, transforming each task execution into a learning opportunity [14][15] - This creates a knowledge compounding effect, enhancing the organization's capabilities with each completed task [15] Intelligent Agent Factory - The intelligent agent factory allows for rapid development of digital employees through low-code solutions, enabling business personnel to create tailored AI solutions without programming knowledge [17] - This flexibility supports both general and specialized business needs, ensuring that AI capabilities evolve alongside organizational requirements [17] AI Governance - The governance framework ensures that AI operations are secure, compliant, and accountable, addressing potential risks associated with AI usage [19][20] - The system includes features for permission management and audit trails, ensuring that AI actions are traceable and compliant with regulations [20] Industry Observation - Whale Intelligence distinguishes itself by positioning its solution as an "enterprise AI operating system," addressing systemic issues in AI integration within organizations [23] - This approach signifies a shift from merely using AI tools to fundamentally transforming organizations into entities that inherently possess AI capabilities [23]