隨著人工智慧（AI）與數位技術迅速發展，EPC（設計、採購、建造）工程服務業面臨專案規模擴大、多方合作複雜及風險管理難度提升之挑戰。傳統管理模式難以因應高變動性及即時決策需求，因此，AI賦能之數位治理與績效管控成為產業轉型的關鍵。
本研究以EPC產業為對象，透過深度訪談、多階段問卷調查及內部績效資料分析，識別企業在應收帳款風險管控、跨部門協作低效率、專案進度與成本失控、需求變更管理、人才培育與知識管理不足及決策支援缺乏等六大痛點。藉由系統化需求分析，構建AI賦能的績效管控系統架構，設計跨部門協作績效指標體系並提出分階段導入策略，以促進技術落地及持續運營價值。
研究結果期望為EPC企業AI導入提供具體指引，建立智慧績效管理框架，提升組織營運效能與決策品質，推動產業邁向數位治理與智慧營運新階段。 此外，研究亦提供理論與實務並重的參考，豐富學界相關領域之探討。

With the rapid development of Artificial Intelligence (AI) and digital technologies, the EPC (Engineering, Procurement, and Construction) industry faces increasing challenges including expanding project scales, complex multi-party collaborations, and heightened risk management difficulties. Traditional management approaches prove insufficient to meet the demands of high variability and real-time decision-making. Therefore, AI-enabled digital governance and performance control have become critical to the industry’s digital transformation.
This study focuses on the EPC sector, employing in-depth interviews, multi-stage questionnaire surveys, and internal performance data analysis to identify six core pain points in enterprises: accounts receivable risk management, low efficiency of cross-department collaboration, project schedule and cost overruns, challenges in managing client change requests, talent cultivation and knowledge management deficiencies, and insufficient decision support. Through systematic requirements analysis, an AI-enabled performance control system framework is developed, incorporating cross-departmental collaboration performance indicators and phased implementation strategies to ensure effective technology adoption and sustained operational value.
The findings aim to provide practical guidance for EPC enterprises in AI implementation, establish a smart performance management framework, and enhance organizational operational efficiency and decision quality, thus promoting the industry’s transition towards digital governance and smart operations. Moreover, the study contributes valuable insights both theoretically and practically to related academic fields.

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