Research on the Role of Intelligent Assistants in Enterprise Informatization Management Process

当前，企业信息化正从“流程驱动”迈向“数据智能驱动”的新阶段。智能助手作为人工智能技术的典型应用，凭借自然语言处理、深度学习等能力，已成为企业提升运营效率、重构业务流程的重要工具。然而，现有研究多聚焦于技术采纳的单一维度，缺乏对其综合效能与潜在风险的系统性探讨。本文基于SWOT分析框架，结合案例研究与政策分析，剖析智能助手在企业信息化中的战略价值与实施瓶颈。研究发现，企业应优先在非核心业务领域验证智能助手的可行性，加强隐私计算与边缘AI的部署，以应对数据安全挑战；构建跨部门治理委员会，平衡创新与风险。本研究为企业在智能化转型中兼顾效率提升与风险控制提供了理论支持，助力企业在数字经济时代实现可持续发展。Currently, enterprise informatization is transitioning from “process-driven” to a new phase of “data-intelligence-driven”. As a quintessential application of artificial intelligence technology, intelligent assistants, leveraging capabilities such as natural language processing and deep learning, have emerged as critical tools for enterprises to enhance operational efficiency and reconstruct business processes. However, existing research predominantly focuses on isolated dimensions of technology adoption, lacking systematic exploration of their comprehensive efficacy and potential risks. This study employs a SWOT analytical framework, integrating case studies and policy analysis, to dissect the strategic value and implementation challenges of intelligent assistants in enterprise informatization. The findings reveal that enterprises should prioritize validating the feasibility of intelligent assistants in non-core business domains and strengthen the deployment of privacy-preserving computing and edge AI to address data security challenges. Additionally, establishing a cross-departmental governance committee is essential to balance innovation and risks. This research provides theoretical support for enterprises to harmonize efficiency enhancement with risk control during intelligent transformation, empowering sustainable development in the era of the digital economy.