Quality Enhancement and Efficiency Improvement, Digital Empowerment | Tian’an’s various business units are conducting a series of specialized training sessions on AI agents.
To implement the Group’s strategic plan, articulated at its 2026 Mid-Year Work Conference—“Focusing on improving quality and efficiency while accelerating digital transformation”—and to integrate artificial intelligence technologies more deeply into every stage of business operations, Tian’an Development Industrial Group recently organized its subsidiaries… Tian’an Engineering, Tian’an Power, Tian’an Import & Export, Tian’an Automotive The Group’s four major business segments are conducting a series of AI‑powered agent–focused training programs in phased sessions. Chairman Jiang Shanwen personally serves as the lead instructor, with mid‑ and senior‑level managers, key business personnel, and core members of the Commercial Department participating in successive cohorts. These initiatives leverage digital tools to strengthen real‑world operations and drive overall improvements in the Group’s operational performance.
At its mid-year work conference in 2026, the Group clearly stated that digitalization and intelligentization are pivotal to the survival and development of the manufacturing sector. Over the next three to five years, widespread adoption of AI tools across all employees is indispensable for enhancing the company’s core competitiveness. The Group will prioritize digital transformation as a key strategic initiative for the second half of the year, leveraging its localized AI server infrastructure and integrating real-world business scenarios—such as quotation estimation, project accounting, market expansion, and production management—to rigorously implement AI deployment timelines and application standards across all business units. This series of specialized training sessions represents a critical, hands-on measure to effectively implement the strategic directives set forth at the mid-year conference.
During the training, Chairman Jiang Shanwen provided a comprehensive overview of mainstream large AI models and the current state of the AI agent industry. Drawing on the distinctive characteristics of four key sectors—construction engineering, power equipment, foreign trade and import/export, and automotive manufacturing—he analyzed the implementation pathways for intelligent transformation across each business line. He also delivered an in-depth presentation on core concepts, key technical applications, and emerging industry trends, helping participants develop a systematic understanding of AI.
During the hands-on demonstration, the training focused on showcasing tools such as QClaw, the Kouzi No-Code Agent Development Platform, and Feishu AI. By addressing the specific pain points of various companies, the session deconstructed real-world application scenarios: targeting… Tian’an Engineering , focusing on engineering project management, bid preparation, construction plan review, and the like; targeting Tian’an Electric Power , focusing on transformer switchgear quotation estimation, project technical documentation management, procurement management, and more; targeting Tian’an Import and Export , focusing on overseas market analysis, foreign trade project accounting, customs declaration documents, and more; targeting Tian’an Automobile It covers scenarios such as production scheduling optimization, customer demand analysis, and quality control, offering a hands-on demonstration of how AI tools can reduce costs and boost efficiency, allowing participants to experience firsthand the transformative impact of intelligent tools on their daily workflows.
At the meeting, it was made clear that the Group will establish a dedicated AI‑skills team, pursuing both internal talent development and the recruitment of external experts to provide robust human‑resource support for digital transformation. Senior managers across the four major business segments were urged to lead by example, spearhead AI adoption, and, grounded in their respective business realities, proactively identify practical AI use cases. They are expected to integrate AI tools into key functions such as quotation and cost estimation, project management, market expansion, production operations, and accounts‑receivable collection, thereby fully unlocking AI’s value in enhancing operational efficiency, uncovering cost‑reduction opportunities, and driving business innovation.
This series of AI‑focused training sessions, covering the Group’s four major business segments, marks a substantive step in advancing its digital transformation. Participating managers unanimously noted that the training has broadened their digital mindset and that they will apply what they have learned to their day‑to‑day work. Moving forward, each subsidiary will align with the task list set at the mid‑year meeting, rigorously implement the AI deployment roadmap, and continuously translate digital empowerment into tangible productivity gains, thereby supporting the Group’s high‑quality, steady growth in its core businesses.
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