在台灣企業數位轉型浪潮下，任務導向型AI工具已逐漸導入企業內部，但既有研究較少從使用者過去使用不同科技的經驗出發，探討其如何理解此類工具，以及這些理解如何形塑後續使用判斷。本研究以科技意會觀點為分析架構，採質性單一個案研究設計，以台灣一家軟體企業導入的內部任務導向型聊天機器人為研究場域，訪談十二位具有不同科技使用背景的組織成員，並以主題分析法分析資料。研究發現，使用者會從通用型AI、企業內部系統、客服聊天機器人及工作角色等先前經驗理解新工具，形成對其角色與能力的初步期待，而不同使用者所重視的面向主要落在互動性、查證性與便利性。使用成效與初始期待不盡相符之後，使用者會調整對工具適用範圍與類別的看法，也會透過查證重新判斷其能力邊界與可信任範圍，使用方式則會是「先查詢，再查證或轉交」的條件性採納。本研究將科技意會理論延伸至企業內部AI聊天機器人的日常使用，補充科技框架來源的討論，並說明先前經驗如何影響使用者對工具的理解與條件性採納判斷。研究結果可供企業規劃內部AI工具導入、說明能力邊界及建立資料治理機制參考。

Amid Taiwan's accelerating digital transformation, task-oriented AI tools are increasingly proliferating within organizations. Yet, little is known about how users draw on prior, heterogeneous technology experiences to interpret such tools and form subsequent usage judgments. Guided by a technology sensemaking perspective, this qualitative single case study examines an internal task-oriented chatbot deployed by a Taiwanese software firm, drawing on semi-structured interviews with twelve employees of varied technology backgrounds, which were analyzed using thematic analysis. Results indicate that users primarily draw on four sources of prior experience: general purpose AI, internal enterprise systems, customer service chatbots, and work role experience, to form initial role expectations, engendering three interpretive orientations: interaction-oriented, verification-oriented, and convenience-oriented. As users interacted with the tool, these expectations reveal varying gaps, prompting users to circumscribe the tool's scope, reclassify its category, and engage in verification, thereby recalibrating its capability boundaries and trustworthiness. Rather than acceptance or rejection, users converge on a conditional pattern of "querying first, then verifying or redirecting." The study extends sensemaking theory to everyday internal AI use, elucidates the sources of technological frames, and links prior experience to tool understanding and conditional adoption judgments. Practically, the findings inform enterprise approaches to tool rollout, capability disclosure, and the design of governance mechanisms.

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