The future is here! Zeshi Consulting has established a Digital AI Application Center.

—Driving Digital Transformation in Engineering Consulting with AI—

Introduction: Recently, four departments including the Ministry of Industry and Information Technology issued the "Guidelines for Building a Comprehensive Standardization System for the National Artificial Intelligence Industry (2024 Edition)," which stated that by 2026, the synergy between standards and technological innovation in the industry will continue to strengthen. More than 50 new national and industry standards will be formulated, accelerating the establishment of a standard system that leads the high-quality development of the artificial intelligence industry. In today’s era of information and digitalization, the engineering consulting industry is facing unprecedented changes and challenges. The emergence of AI-powered intelligent technologies has provided new solutions to address longstanding industry pain points, while also opening up limitless possibilities for the industry’s future development.

#1 Pain Points in Current Engineering Consulting Work In recent years, as total fixed-asset investment has declined, market competition has become increasingly fierce. Among this investment, non-state-owned and foreign-invested projects now account for 60% of total fixed-asset investment, further intensifying competitive pressures. Due to tight project funding, many consulting firms have been forced to adopt low-price strategies in order to win business; some even willingly accept losses just to keep their operations afloat. At the same time, many projects demand high-quality feasibility study reports completed within very short timeframes, placing extremely high demands on work efficiency. The unpaid nature of preliminary work and the uncertainty surrounding project approvals often mean that much of the effort invested could go to waste. As the requirements for the depth of feasibility studies continue to rise, engineering pre-project consulting is gradually shifting toward full-process consulting—a shift that calls for higher-level professional expertise and more efficient working models. Under these circumstances, whether AI can be deeply integrated with business operations becomes the key factor determining its ability to deliver economic value. Only by developing an AI strategy that closely aligns with business needs, accelerating the pace of talent transformation, and establishing robust talent-development mechanisms can we fully unlock the enormous economic potential inherent in artificial intelligence and secure victory in today’s and tomorrow’s competitive landscape.
#2 Zeshi Consulting has established an AI Application Center. In active response to the national policy guidelines on the digital economy and in alignment with the trend toward industrial digitalization, Zeshi Consulting regards the digital economy and artificial intelligence as key drivers for high-quality development. Leveraging its extensive industry experience and deep technological expertise, Zeshi Consulting is further implementing an integrated development model that combines consulting services with digital technologies. Actively joining the wave of enhancing the digital application capabilities of consulting services, Zeshi Consulting recently successfully established and launched its AI Application Center.

This AI Application Center is dedicated to deeply exploring the scope of intelligent applications in the field of engineering consulting, leveraging AI’s natural... By leveraging technological approaches such as natural language processing and machine learning, we intelligently screen, process, and analyze vast amounts of economic data, thereby enhancing the research efficiency and accuracy of business professionals and providing governments and enterprises with more precise decision-making references. At the same time, we will continue to strengthen cooperation and exchanges with leading external institutions, introduce the latest AI technologies and concepts, and build an AI research platform that integrates learning, collaboration, application, and innovation—thus supporting the transformation of engineering consulting toward intelligence, digitalization, and greater efficiency.

The AI Application Center is equipped with features such as data analysis, intelligent search, document organization, and file interpretation. Going forward, it can serve business line personnel in the following areas:

First, enhancing service efficiency: By leveraging advanced technologies, we can rapidly process and analyze large volumes of complex data, significantly shortening the cycle time for consulting projects and enabling clients to obtain decision support more quickly. For example, when developing market operational strategies for client organizations, we can swiftly integrate market data, competitive dynamics, and other relevant information to quickly deliver accurate recommendations.

Second, enhance service quality: Leveraging AI’s precise analytical and predictive capabilities to provide customers with more accurate and in-depth advisory services. For example, during project feasibility studies, AI can more precisely assess investment risks and returns.

Third, achieve cost reduction and efficiency enhancement: By automating repetitive tasks, we can reduce labor input, lower operational costs, and provide customers with more cost-effective services.

Fourth, expand service areas: Leveraging robust technological support, we are entering fields that were previously difficult to reach or served insufficiently—in particular, using big data analytics to develop strategic plans for emerging industries and providing property owners with more innovative solutions.

#3 Future Outlook: By building the AI Application Center platform, we can provide comprehensive engineering consulting services—covering the entire process from feasibility studies to construction, from delivery to operation—for clients, construction entities, and other stakeholders, enabling digital construction, intelligent management, and digital operations. This will ensure that personnel, business processes, management, and operations are all online, thereby supporting high-quality development in the engineering consulting industry. In the future, Zeshi Consulting will leverage its digitally and intelligently driven “AI Application Center” as a foundation and focus our efforts on the following key areas:
01 “AI+Consulting”—First, we will strengthen our exploration of major theoretical and practical issues related to the application of artificial intelligence technologies, continuously enhance the development of the “AI+Consulting” field, deeply cultivate digital and intelligent concepts, and gradually build an open, unified AI service platform, thereby comprehensively solidifying the foundation for the development of innovative AI applications.

02 Innovation and Development, Part II: Fully promote innovative AI applications at the industrial level, leveraging the “AI Application Center” to empower industrial development. Continuously innovate digital transformation solutions, and accelerate the development of new AI technologies, new industries, new business models, and new formats through next-generation digital information technologies. This will help enterprises fully harness AI technologies and data resources as new production factors, thereby achieving digital transformation and high-quality, sustainable ESG development.

03 Talent Support—Third, Strengthen talent support. Leverage the effectiveness of industry-academia-research cooperation mechanisms in attracting cross-disciplinary and cross-sectoral talent, build a “new talent pool for intelligent application fields,” enhance the efficiency of talent resource allocation, stimulate the innovation and creativity of talented individuals, cultivate skilled, technical, and research-oriented professionals who can meet the significant demands of the artificial intelligence and big data industries, shape new-quality productivity, inject new momentum into development, and contribute Zeshi’s strength to the construction of Digital China.