本個案以「兄弟合資創業，同心協力經營」的家族式中小企業－承隆營造—的三次轉型為例，呈現領導人秉持「服務客戶導向及全方案行銷」初衷，不斷以「開發業主需要，創造雙贏共益」的經營模式，帶領企業從丙級營造工程開始，披荊斬棘，逐漸晉級成長。詳述其因應環境與技術變遷，以創値與差異化為核心展開的第一波行銷轉型，在掌握熱泵涉入能源技術服務產業之技術趨勢後，藉由節能技術服務專業驅動，順勢進行第二波跨業轉型，此兩波轉型，促使承隆營造進行了「外部一致性」量變的改造，並更名為承隆智能。承隆智能持續偵測環境變化，以產學合作結果，形成循環加値的再節能商機，推進了第三波的整合式轉型，並再更名為承隆能源科技，開始著力於「内部一致性」的質變再造，配套落寅内部管理價値活動，持續深耕精進，以人工智慧估算技術，開創出永續循環節能的新商業模式。

A case study of three-stages transformations of the family-owned small enterprise named Cheng Long Construction, which is “brother-joint ventures, work for common purpose”, is adopted as the example to present that the top management insists the value of “customer-services orientation and total solution marketing” to operate the company with the business model of “developing the needs of the owners and creating a win-win situation” which leads the company from the C-level construction project to grow up to higher level project. This case study details the core value of creation and differentiation are involved to perform the first wave of marketing transformation in response to environmental and technological changes. The technology trends of heat pump involved in the ESCO industry are grasped in order to carry out the second wave of cross-industry transformation driven by ESCO professionals. The result of these two-wave transformations makes the Cheng Long project carry out the quantitative changes of the “external consistency” and changed its name to Cheng Long Intelligent Engineering. Cheng Long Intelligent Engineering continuously scans environmental changes, and seeks business opportunities by means of industry-university cooperation research which provides a cyclical added value (re-energy). It leads to promote the third wave of integrated transformation, and renamed to Cheng Long Energy Technology. Facing challenges, it begins to focus on the internal consistency of qualitative reengineering with supporting the activities to implement the internal management value chains. Therefore, continuous deep cultivation and create a new business model of sustainable energy saving cycle by using the artificial intelligence technology.