地上铁参编！智能原生业界首本《数字员工运营管理指南（1.0）》重磅发布

This article centers on the official release of the industry's first *Digital Employee Operation and Management Guide (Version 1.0)* in the AI-native field, and shares actionable insights from Di Shang Tie, a contributing organization, on its real-world digital employee implementation. Key takeaways are as follows:

1. About the guide: Led by authoritative industry institutions, the guide systematically outlines digital employees' three-stage evolution from rule-driven operations to AI-assisted workflows and ultimately AI-native capabilities. It also establishes a full-lifecycle operation framework covering the entire process from planning to decommissioning, serving as an authoritative reference for large-scale industry adoption.

2. About real-world implementation: As a digital intelligent service provider for new energy logistics vehicles, Di Shang Tie has launched two mature digital employee products based on data accumulated from its fleet of over 224,000 operating vehicles. Tie Xiaozhi, a growth-oriented digital employee, serves three core scenarios: business knowledge documentation, efficiency improvement and collaborative management, freeing staff from repetitive work. The data-oriented AI agent integrates end-to-end enterprise data pipelines, covers more than 30 business scenarios, reduces data query time from 1-2 days to seconds or minutes, and enables proactive anomaly alerting.

This article provides actionable insights on digital transformation direction, brand building, product R&D and industry trends for brand owners, summarized below:

1. Industry trend: Digital and intelligent transformation is accelerating across traditional industries. Digital employees have already achieved large-scale adoption in the vertical logistics sector, delivering efficiency gains across internal operations, business management and other scenarios, and represent a key direction for future enterprise upgrading.

2. Product R&D: Brand owners can draw lessons from Di Shang Tie's experience: leverage business data accumulated over years of operation, combine end-to-end business management expertise with the digital employee concept, and build business-specific digital employee products categorized by type and scenario to address pain points such as insufficient business knowledge documentation and wasted human resources.

3. Brand building: Participating in the development of authoritative industry standards and sharing practical implementation experience can help brands gain official industry recognition, effectively boost professional credibility and industry influence, and expand business boundaries by empowering external partners.

This article offers key insights on digital transformation opportunities, implementation experience and risk mitigation for sellers, summarized below:

1. Opportunities: AI-powered digital employees are now ready for real-world deployment, and can effectively solve common pain points for sellers including low operational efficiency, high labor costs and slow response times. This makes digital employees a high-priority direction for sellers' upcoming digital upgrading initiatives.

2. Implemention takeaways: Following Di Shang Tie's layered product model, sellers can build different types of digital employees to meet distinct needs for business management, efficiency improvement and data access. This enables automatic business knowledge documentation, automation of repetitive work, second-level data response, and proactive anomaly alerting, shifting operations from passive response to proactive prevention.

3. Risk mitigation: To fully unlock efficiency gains, digital employee deployment must be tailored to a business's unique scenarios and refined based on its own accumulated operational data, rather than blindly adopting one-size-fits-all generic solutions.

This article provides insights on digital transformation inspiration, product design requirements and business opportunities for manufacturing facilities, summarized below:

1. Product design and development requirements: There is currently strong demand for intelligent upgrading in manufacturing operations. Digital employees can be adapted to multiple factory scenarios including production management, sales, operational collaboration and data management, helping factories improve operational efficiency and free up staff to focus on high-value innovative work.

2. Digital transformation insights: Factories can follow Di Shang Tie's implementation path: leverage business data accumulated over years of production and operation, combine full-lifecycle production management expertise with the digital employee concept, deploy digital employees with tailored functions for different scenarios, and advance digital upgrading step by step.

3. Business opportunities: After completing internal digital transformation, factories can share their practical experience to participate in industry standard development and gain industry recognition. They can also export their digital capabilities to empower peers and unlock new sources of revenue growth.

This article shares insights on industry development trends, customer pain points and solution references for service providers, summarized below:

1. Industry development trend: The release of the first industry guide for AI-native digital employees marks the completion of the progression from practical implementation to industry standardization. Digital employees are about to enter a phase of large-scale adoption, with mature use cases already established in vertical sectors such as logistics, making this a core growth track for service providers going forward.

2. Customer pain point analysis: Enterprise clients commonly face pain points including difficulty documenting institutional knowledge, excessive labor spent on repetitive work, disorderly cross-departmental collaboration, low data access efficiency and slow anomaly response—all of which can be addressed by digital employees.

3. Solution reference: Service providers can adapt Di Shang Tie's product architecture, which separates growth-oriented digital employees for addressing business, efficiency and collaboration challenges from data-oriented digital employees for breaking down data silos and accelerating data access, to meet the diverse scenario-based needs of different clients. In addition, participating in industry standard development can boost a provider's industry reputation and build customer trust.

This article provides insights on industry demand, platform development direction and risk mitigation for platform operators, summarized below:

1. Industry demand: A wide range of enterprises currently demand digital and intelligent operational upgrading, with the core need to reduce operational costs and improve response efficiency through digital employees. Platforms can build related services and ecosystems centered on digital employee implementation.

2. Operational best practices: Platform operators can learn from the guide development model: collaborate with leading industry players that have mature implementation experience to co-develop industry standards, map out a clear evolution path and full-process operation framework. This not only supports industry-wide adoption, but also boosts the platform's own industry influence. Platforms can also open up their ecosystems to invite implementation service providers from different vertical sectors to enrich available service scenarios.

3. Risk mitigation: When developing digital employee offerings, platforms must tailor products to the unique business characteristics of vertical sectors, avoid launching generic solutions disconnected from real-world use cases, and validate product value based on leading players' practical experience to reduce the risk of implementation failure.

This article provides research materials on new industry developments, vertical sector implementation cases and business models in the digital employee space for researchers, summarized below:

1. New industry developments: The release of the *Digital Employee Operation and Management Guide (Version 1.0)*, the first guide of its kind for the AI-native field, defines the three-stage evolution path of digital employees and establishes a full-lifecycle operation framework from planning to decommissioning. This marks that digital employees have officially moved beyond pilot exploration to enter the large-scale adoption phase, bringing the industry into a new stage of development.

2. Vertical sector implementation case: This article features a full implementation case from Di Shang Tie, a leading player in the new energy logistics sector. Leveraging data accumulated from its vehicle operations, Di Shang Tie has built two categories of digital employees covering more than 60 business scenarios, verifying the implementation value of digital employees in operation-intensive vertical industries and providing a high-quality real-world research sample.

3. Business model reference: The closed-loop model presented in this article—"internal fine-tuned operation for efficiency gains + external empowerment for industry partners + industry recognition via participation in standard setting"—also provides a new sample for research on business model innovation in the era of digital employees.