Frequently Asked Questions

The main advantages of choosing IT outsourcing services include:

• Cost Optimization: Transforming fixed IT human resources into controllable operational expenses, adjusting service content and scale based on actual needs.
• Professional Technical Support: Gaining professional technical support from an IT team, without the need to build a team yourself to enjoy comprehensive technical support.
• Focus on Core Business: Businesses can focus on their core business and innovation while leaving IT operations and management to professional service providers.
• Reduced Technical Risk: Professional IT service providers have mature service systems and best practices, which can effectively reduce technical risks.
• Flexible Resource Allocation: Allocating IT resources based on business needs, better coping with business development and changes.
• Continuous Technical Updates: There's no need to worry about the update of technical personnel's knowledge and training, as the service provider will ensure continuous updates of technology.

RunMan Technology provides customized IT outsourcing services, based on the actual needs and budget of customers, to develop the most suitable service plan, helping customers achieve professional IT operations, standardization, and efficiency.

RunMan Technology provides comprehensive IT outsourcing services, mainly including the following:

• Infrastructure Operations and Maintenance: Daily maintenance and management of servers, storage, network equipment, ensuring system stability.
• Desktop Support Services: Providing technical support for office equipment such as desktop computers, laptops, printers, etc. for employees.
• Network Management: Planning, deployment, and daily management of internal networks, internet access, and wireless networks.
• Data Backup and Recovery: Establishing a comprehensive data backup system, ensuring data security, and being able to quickly recover in case of unexpected situations.
• Security Management: Security services such as network security protection, vulnerability scanning, security assessment, intrusion detection, etc.
• System Update Management: Patch management and version updates of operating systems and application software.
• IT Service Desk: Providing a unified channel for reporting technical issues, responding promptly and resolving user issues.
• IT Asset Management: Life cycle management of hardware and software assets, including procurement advice, asset tracking, and update planning.
• Software and Hardware Procurement and Deployment: Assisting in enterprise selection, procurement of suitable IT equipment and software, and installation and deployment.
• Virtualization and Cloud Service Management: Planning, deployment, and daily operation and maintenance of virtualization environments and cloud platforms.

We provide customized service solutions based on specific customer needs, and we can choose to outsource completely or provide dedicated services in specific areas. At the same time, we also offer on-site service, remote service, or hybrid service delivery modes, flexibly meeting the actual needs of different customers.

To evaluate the quality and effectiveness of IT outsourcing services, we can start from the following aspects:

1. Service Level Agreement (SLA) Compliance Rate: Check whether the key indicators such as response time, problem resolution time, and system availability have reached the level agreed in the contract.
2. System Stability Improvement: Evaluate whether the system downtime and failure rate have decreased significantly after outsourcing services have been implemented.
3. Customer Satisfaction: Through questionnaire surveys or feedback mechanisms, understand the level of satisfaction of enterprise employees towards IT services.
4. Trend Analysis of IT Events: Analyze the changes in the number, type, and efficiency of IT events, and evaluate the situation of service improvement.
5. Cost-Benefit Analysis: Compare the cost of outsourcing services with that of self-built teams, as well as the indirect economic benefits brought by IT outsourcing.
6. Business Continuity: Evaluate the ability of IT outsourcing services to ensure business continuity, including disaster recovery and emergency response capabilities.
7. Security Event Management: Evaluate the frequency of security events and the efficiency of handling, ensuring data and system security.
8. Improvement of IT Asset Utilization: Evaluate the improvement of IT asset utilization, management cycle, etc.
9. Execution of Service Improvement Plan: Check whether the service provider regularly provides service improvement plans and effectively implements them.

RunMan Technology provides transparent service evaluation mechanisms, regularly generating service reports, and jointly evaluating service quality and effectiveness with customers. Based on the evaluation results, we continuously optimize service content and processes to ensure that high-quality IT outsourcing services are always provided to customers.

RunMan Technology places high importance on data security and privacy protection, taking the following multi-layered measures to ensure data security in the process of IT outsourcing services:

• Strict Security Compliance Framework: Our security management system has passed the ISO 27001 certification, adhering to the relevant national laws and regulations on network security.
• Comprehensive Security Policies: Comprehensive security policies and procedures have been established for data classification, access control, encrypted transmission, security audits, etc.
• Personnel Security Control: All operational personnel need to sign confidentiality agreements, undergo regular security training, and follow the principle of minimum permissions.
• Access Control and Identity Authentication: Strict access control measures are implemented, including multi-factor authentication, hierarchical permission management, and control of privileged accounts.
• Data Encryption Protection: Sensitive data is encrypted during transmission and storage to ensure security during transmission and storage.
• Network Security Protection: Deploy firewall, intrusion detection, virus protection, etc. security devices to build a multi-layered network security protection system.
• Security Event Response: Establishing a comprehensive security event response process to promptly identify and handle potential security threats.
• Regular Security Assessment: Conducting regular security vulnerability scanning, penetration testing, and security assessment to promptly patch security vulnerabilities.
• Data Backup and Recovery: Implementing a comprehensive data backup strategy to ensure rapid data recovery in case of unexpected situations.
• Security Compliance Audit: Regular internal security audits and third-party security assessments are conducted to ensure the effectiveness of security measures.

In addition, we will sign a detailed security and confidentiality agreement with customers to clarify data protection responsibilities and service level agreements, ensuring that customer data security and privacy are protected at the highest level.

The following types of enterprises are particularly suitable for system virtualization transformation:

• Enterprises with old IT infrastructure: Enterprises with many old servers and storage devices, which can reduce the number of physical devices and the cost of hardware updates through virtualization.
• Enterprises with low server utilization: Enterprises with less than 30% utilization of physical server resources, virtualization can significantly improve resource utilization efficiency.
• Enterprises with significant business fluctuations: Enterprises with seasonal or cyclical business fluctuations, virtualization can provide more flexible resource allocation capabilities.
• Enterprises with high requirements for business continuity: Enterprises with high availability and disaster recovery capabilities, virtualization technology can provide more convenient high availability and disaster recovery solutions.
• Fast-growing enterprises: Enterprises with rapid business growth that need to frequently expand IT resources, virtualization can support more rapid resource expansion.
• Enterprises with multiple branch organizations: Enterprises with multiple branch organizations that need to centrally manage IT resources, virtualization facilitates centralized management.
• Enterprises hoping to reduce energy consumption and space costs: Enterprises with limited data center space or those hoping to reduce energy consumption and space needs, virtualization can reduce the number of physical devices, lower energy consumption and space requirements.
• Enterprises with high demand for testing and development environments: Enterprises with high demand for frequently creating testing and development environments, virtualization can quickly deploy and dismantle testing environments.

RunMan Technology provides professional virtualized assessment services, which can evaluate the feasibility and expected returns of virtualization transformation based on the specific situation and needs of enterprises. We provide the most suitable virtualization solutions.

The choice of cloud model depends on the specific needs and circumstances of enterprises. The following are the applicable scenarios of various cloud models:

Public Cloud Suitable:

• Enterprises hoping to reduce initial investment and adopt a pay-as-you-go model
• Startups or small and medium-sized enterprises, with limited IT infrastructure investment budget
• Enterprises with significant business fluctuations, needing elastic expansion capabilities
• Enterprises with needs to quickly deploy and launch new applications
• Non-core business systems or businesses with less sensitivity to security

Private Cloud Suitable:

• Enterprises with strict requirements for data security and privacy, such as finance, healthcare, etc.
• Enterprises with specific compliance requirements, needing local storage of data
• Enterprises with a large number of long-term stable business systems, with predictable resource demand
• Enterprises with the ability to invest in the construction and operation and maintenance of private cloud infrastructure
• Enterprises with special requirements for system performance and availability

Hybrid Cloud Suitable:

• Enterprises with both core business and non-core business
• Enterprises hoping to balance security control and cost-effectiveness
• Enterprises needing business continuity and disaster recovery capabilities
• Enterprises undergoing phased cloud migration
• Enterprises with temporary peak load requirements, but most of the time load is relatively stable
• Enterprises hoping to retain existing IT investment while leveraging cloud service advantages

RunMan Technology recommends that enterprises comprehensively consider the cloud model selection based on the following factors:

1. Business characteristics and importance
2. Data security and compliance requirements
3. Budget and investment strategy
4. Performance and availability requirements
5. Current IT infrastructure status
6. IT team capabilities and resources

RunMan Technology provides professional cloud consulting services to help enterprises evaluate business needs and technical environments, develop the most suitable cloud strategies and architectures, including public cloud, private cloud, or hybrid cloud solutions, ensuring smooth cloud migration and long-term benefits.

The implementation cycle of a system integration project varies greatly depending on the scale, complexity, and scope of the project. The following are approximate cycles for several typical system integration projects:

Small Project (e.g., deployment of a single application system):

• Cycle: 1-3 months
• Applicable scenarios: Deployment of a single application system, small-scale network upgrade, single-point IT infrastructure transformation, etc.

Medium Project (e.g., department-level system integration):

• Cycle: 3-6 months
• Applicable scenarios: Department-level business system integration, medium-scale virtualization project, partial cloud migration, etc.

Large Project (e.g., enterprise-level IT architecture transformation):

• Cycle: 6-12 months
• Applicable scenarios: Enterprise-level ERP implementation, overall data center construction, comprehensive virtualization or cloud transformation, etc.

Super Large Project (e.g., group-level digital transformation):

• Cycle: 1-3 years
• Applicable scenarios: Group-level digital transformation, cross-region multi-data center integration, complex multi-system integration projects, etc.

The main factors affecting project cycle include:

1. Project Scope and Complexity: The number of systems involved, the number of integration points, and the complexity of business processes.
2. Customized Development Requirements: The amount of customized development work required.
3. Data Migration Scale: The amount of data to be migrated and its complexity.
4. Organizational Readiness: The ability of enterprises to manage changes, user acceptance, and internal coordination efficiency.
5. Decision Efficiency: The efficiency and clarity of the internal decision-making process of enterprises.
6. Project Management Method: Traditional waterfall model or agile iterative method.

RunMan Technology adopts a staged implementation strategy, breaking down large projects into manageable stages. Deliverments are made clear at the end of each stage, which can reduce project risks and accelerate value realization. At the same time, we will provide detailed time plans and milestones based on the specific situation of the project to ensure timely completion.

Ensuring successful implementation of system integration projects requires planning and control from multiple aspects. Based on many years of project experience, RunMan Technology has summarized the following key success factors:

Pre-project Preparation Stage:

• Clear Business Objectives: Clearly define the business objectives and expected returns of the project, ensuring consistency with the overall strategy of the enterprise.
• Detailed Needs Analysis: Collect and analyze needs comprehensively, identifying key business processes and system interface points.
• Reasonable Scope Definition: Clearly define project boundaries, avoiding scope creep, and adopting staged implementation strategies when necessary.
• Risk Assessment: Identifying potential risks and developing countermeasures to reduce uncertainties during project implementation.

Project Implementation Stage:

• Professional Project Management: Using mature project management methods to ensure effective control of progress, quality, and costs.
• Establishing a Suitable Team: Ensuring that the project team has the necessary technical capabilities and domain knowledge, and clearly defining responsibilities.
• Effective Communication Mechanism: Establishing multi-level communication channels to ensure that all stakeholders involved in the project can obtain information and participate in decision-making.
• Change Management: Establishing strict change control processes, assessing the impact of changes and obtaining necessary approvals.
• Quality Assurance: Developing detailed test plans, including unit testing, integration testing, system testing, and user acceptance testing.
• Documentation Management: Maintaining complete and up-to-date project documentation, including design documents, configuration guides, operation manuals, etc.

User Participation and Change Management:

• Top Management Support: Gaining continuous support and involvement from top management, ensuring necessary resource investment.
• User Participation: Maintaining the active participation of key users throughout the project to ensure that the system meets actual needs.
• Training Program: Developing a comprehensive user training program to ensure that users can effectively use the new system.
• Organizational Change Management: Paying attention to the process changes and role adjustments brought about by the new system, helping the organization to transition smoothly.

Project Closure and Ongoing Support:

• Formal Acceptance: Establishing clear acceptance standards and procedures to ensure that the system meets the predetermined goals.
• Smooth Transition: Developing a detailed switchover plan to ensure smooth transition from the old system to the new system.
• Ongoing Support: Providing technical support and problem response mechanisms after going live, ensuring system stability.
• Benefit Assessment: Conducting post-implementation assessments of project outcomes, summarizing lessons learned, and providing reference for subsequent projects.

RunMan Technology has mature project implementation methodologies and abundant project experience, which can assist customers in dealing with various challenges in system integration, ensuring successful project implementation and achieving expected goals. We place great importance on close cooperation with customers, establishing long-term cooperative relationships, not only focusing on successful project delivery, but also on the long-term value brought to the system by customers.

Digital transformation in enterprises is a comprehensive strategic transformation process, which should start from the following key aspects:

1. Digital Strategy and Planning

• Strategic Positioning: Clearly defining the strategic goals and positioning of digital transformation, aligning with the overall strategy of the enterprise.
• Roadmap Planning: Developing a phased digital transformation roadmap to determine priorities and implementation timelines.
• Innovation Mechanism: Establishing a mechanism and culture for innovation to encourage digital innovation thinking.

2. Business Process Reengineering

• Process Mapping: Conducting a comprehensive mapping of existing business processes to identify pain points and optimization opportunities.
• Process Optimization: Redesigning business processes based on digital means to improve efficiency and customer experience.
• Automated Implementation: Using RPA, workflow, etc. to implement process automation, reducing manual intervention.

3. Data Asset Management

• Data Governance: Establishing data standards and governance systems to ensure data quality and consistency.
• Data Integration: Breaking down data silos to achieve cross-system and cross-department data integration and sharing.
• Data Analysis: Building data analysis capabilities to support data-driven decision-making and business insights.

4. Upgrading of Technical Infrastructure

• Modernization of IT Infrastructure: Upgrading network, storage, computing, etc. IT infrastructure to provide reliable technical support.
• Cloud Transformation: Planning and implementing suitable cloud strategies (public cloud, private cloud, or hybrid cloud) based on business needs.
• IT Architecture Optimization: Transitioning to microservices, APIs, etc. modern architecture to improve system flexibility and scalability.

5. Core System Transformation

• System Assessment: Assessing the status and adaptability of existing core business systems.
• System Update: Updating or rebuilding old systems using modern technology platforms.
• Integration Platform: Establishing an enterprise-level integration platform to achieve seamless integration between systems.

6. Digital Innovation Applications

• Frontier Technology Applications: Exploring the application of artificial intelligence, the Internet of Things, blockchain, etc. in business.
• Innovative Product Development: Developing new products and services based on digital technology to create new business value.
• Ecosystem Construction: Building an open ecosystem to innovate together with partners.

7. Organizational Capabilities and Talent Development

• Organizational Structure Adjustment: Adjusting organizational structure to adapt to the needs of digital transformation, establishing agile organizations.
• Talent Development: Developing and attracting digital talents to improve digital skills of employees.
• Cultural Transformation: Cultivating a digital culture to promote innovation, collaboration, and continuous learning.

8. Security and Compliance

• Network Security: Establishing a comprehensive network security protection system to deal with increasingly complex security threats.
• Data Protection: Implementing data protection measures to ensure the security of sensitive data.
• Compliance Management: Ensuring that digital transformation meets industry regulations and compliance requirements.

RunMan Technology provides comprehensive consulting and implementation services for digital transformation, helping enterprises develop suitable digital transformation strategies, and promoting implementation through staged, step-by-step approaches to ensure smooth progress and business innovation and value enhancement.

Evaluating the cybersecurity risk is the basis for developing effective security strategies. RunMan Technology uses a systematic approach to evaluate the cybersecurity risk of enterprises, mainly including the following steps and contents:

1. Asset Identification and Classification

• Identifying all IT assets of the enterprise, including hardware, software systems, data resources, etc.
• Classifying assets according to the importance of business and sensitivity
• Identifying key assets and core business systems

2. Threat Analysis

• Identifying possible security threats, such as malicious software, hacker attacks, internal threats, etc.
• Analyzing specific threats in the industry and emerging security threats
• Assessing the likelihood and potential impact of threats

3. Vulnerability Assessment

• Conducting network vulnerability scanning to identify security vulnerabilities in systems and applications
• Assessing configuration errors and security control deficiencies
• Analyzing the status of security patch management
• Checking network architecture and boundary security

4. Security Control Assessment

• Assessing the effectiveness of existing security controls, including technical controls, management controls, and physical controls
• Checking identity authentication and access control mechanisms
• Assessing data protection and encryption measures
• Reviewing security monitoring and event response capabilities

5. Risk Quantification and Analysis

• Quantifying risks based on the likelihood and potential impact of threats
• Prioritizing risks
• Analyzing the interdependencies and cumulative effects of risks

6. Compliance Assessment

• Assessing the degree of compliance of enterprise security status with relevant regulations
• Checking whether specific compliance requirements are met in the industry
• Reviewing the completeness of security policies and procedures

7. Social Engineering Test

• Conducting phishing email tests to assess employee security awareness
• Simulating social engineering attacks to test security defense capabilities
• Assessing the effectiveness of security training for employees

8. Risk Assessment Report and Suggestions

• Generating a comprehensive risk assessment report to clearly present the risk situation
• Providing targeted risk mitigation suggestions and solutions
• Developing a phased security improvement plan
• Providing investment return analysis to help determine the priority of security investment

RunMan Technology provides professional cybersecurity assessment services, using international standards and best practices, combining industry characteristics and actual situation of enterprises, providing comprehensive, objective cybersecurity risk assessment to help enterprises understand their own security status, strengthening security measures针对性，降低安全风险。我们的评估采用非侵入式方法，确保不会影响正常业务运营。

Building a wireless network for enterprises is an important part of modern office environments, and the following key factors need to be considered:

1. Needs Analysis and Planning

• User Needs: Assessing the number of users, device types, mobility needs, and future growth expectations
• Application Needs: Identifying key application types and their bandwidth, latency requirements
• Coverage Scope: Determining the areas and special locations (such as conference rooms, public areas) that need to be covered
• Capacity Planning: Assessing user density and traffic demand in various areas

2. Network Design and Technology Selection

• Technical Standards: Selecting appropriate wireless standards (such as 802.11ax/Wi-Fi 6, 802.11ac, etc.)
• Channel Selection: Planning the use of 2.4GHz and 5GHz frequency bands
• AP Deployment: Determining the number and location of APs to avoid dead spots and signal interference
• Channel Planning: Allocating channels reasonably to reduce co-channel interference
• Power Control: Optimizing AP transmission power to ensure even coverage

3. Infrastructure and Integration

• Controller Architecture: Selecting centralized, distributed, or cloud-managed controller architecture
• Wired Network Support: Ensuring that wired network infrastructure can support wireless network traffic
• Power Supply: Planning PoE power supply or other power solutions
• System Integration: Integrating with existing network management systems, authentication systems

4. Network Security

• Authentication Mechanism: Implementing strong authentication mechanisms such as 802.1X, EAP, etc.
• Encryption Standard: Selecting appropriate encryption protocols such as WPA3, WPA2-Enterprise
• Network Separation: Separating employee networks, guest networks, and IoT devices through VLAN or other means
• Intrusion Detection: Deploying wireless intrusion detection/defense systems (WIDS/WIPS)
• Security Policy: Developing device access policies and network usage policies

5. Performance and Reliability

• Bandwidth Management: Implementing QoS strategies to prioritize key business applications
• Load Balancing: Allocating user connections reasonably to avoid single AP overload
• Redundancy Design: Implementing controller redundancy and AP redundancy coverage
• Fast Roaming: Supporting fast roaming standards such as 802.11r to ensure mobile user experience

6. Management and Monitoring

• Centralized Management: Deploying a centralized wireless network management platform
• Real-time Monitoring: Monitoring network performance, user connections, and signal quality in real-time
• Troubleshooting: Providing efficient troubleshooting and problem-solving tools
• Reporting Analysis: Supporting network usage analysis and report generation

7. Environmental Factors

• Physical Environment: Considering factors such as building materials, obstacles, interference sources, etc.
• Special Areas: Designing special solutions for high-density areas and special-purpose areas
• Outdoor Coverage: Selecting appropriate outdoor APs and protective measures for outdoor areas

8. Future Scalability

• Capacity Expansion: Reserving enough expansion space to support future user growth
• Technical Upgrade: Selecting products and architectures that support future technological advancements
• New Application Support: Considering the needs of emerging applications such as the Internet of Things and location services

RunMan Technology provides professional enterprise wireless network planning, design, and implementation services. From needs analysis to network testing, we comprehensively control the process to ensure a secure, efficient, and reliable enterprise-level wireless network for our customers. Our solutions are based on the latest technology standards and industry best practices, and we can provide customized services tailored to the scale and needs of enterprises.

AI technology has a wide range of applications in enterprises, mainly falling into the following areas:

1. Customer Service and Experience

• Intelligent Customer Service: AI chatbots and virtual assistants, providing 24/7 automated customer service, reducing the burden on human customer service staff
• Sentiment Analysis: Analyzing customer feedback, social media comments, and understanding customer emotions and satisfaction
• Personalized Recommendations: Providing personalized products and services based on customer behavior and preferences
• Voice Recognition: Voice interaction system, simplifying customer service processes

2. Business Process Automation

• Intelligent Document Processing: Automatically extracting, categorizing, and processing documents such as invoices, contracts, reports, etc.
• RPA+AI: Combining robot process automation and AI to handle structured and unstructured business processes
• Intelligent Approval: Automating approval processes to improve processing speed and accuracy
• Predictive Maintenance: Predicting equipment failures, arranging optimization maintenance plans, and reducing downtime

3. Decision Support and Data Analysis

• Predictive Analysis: Predicting business trends, sales opportunities, customer behavior, etc.
• Intelligent Reporting: Automatically generating data insights and business reports to support decision-making
• Risk Assessment: Assessing business risks and providing risk mitigation suggestions
• Market Analysis: Analyzing market trends, competitive landscape, and consumer behavior

4. Human Resource Management

• AI Recruitment: Resume screening, candidate matching, and preliminary interview screening
• Employee Analysis: Predicting employee turnover risks and providing retention suggestions
• Performance Management: Data-driven performance evaluation and feedback
• Personalized Learning: Providing customized training plans based on employees' capabilities and development needs

5. Product Development and Innovation

• Intelligent Design: AI-assisted design and product optimization
• Rapid Development: Accelerating the process of new product development to reduce development costs
• Quality Control: AI visual inspection system to improve product quality control
• Concept Validation: Quickly validating new product ideas and market potential

6. Marketing and Sales

• Target Customer Identification: Identifying high-value potential customers and sales opportunities
• Marketing Content Generation: Automatically creating personalized marketing content and copy
• Sales Forecasting: Predicting sales trends and performance to optimize resource allocation
• Pricing Optimization: Dynamically adjusting price strategies to maximize revenue

7. Supply Chain and Operations

• Demand Forecasting: Accurately forecasting product demand to optimize inventory management
• Logistics Optimization: Optimizing transportation routes and delivery plans
• Supplier Management: Assessing supplier risks and performance
• Quality Management: Predicting and identifying quality issues in the production process

8. Security and Risk Management

• Threat Detection: Identifying cybersecurity threats and anomalous behaviors
• Fraud Detection: Identifying suspicious transactions and fraudulent patterns
• Compliance Monitoring: Automatically monitoring compliance risks and违规行为
• Data Protection: Identifying sensitive data and assessing protective measures

RunMan Technology provides comprehensive consulting and implementation services for enterprise AI applications, helping enterprises identify the most valuable AI application scenarios, developing practical AI application roadmaps, and providing technical implementation support from concept validation to full deployment. Our approach emphasizes business value and practicality, ensuring that AI technology can bring substantive benefits to enterprises.

Selecting suitable AI tools for enterprises requires comprehensive consideration of various factors. RunMan Technology recommends that enterprises adopt the following evaluation framework:

1. Clear Business Needs and Application Scenarios

• Identifying the true business problems and pain points that enterprises need to solve
• Clearly defining the expected application scenarios and usage frequency of AI tools
• Determining the key performance indicators (KPIs) for successful application
• Assessing whether AI tools can bring substantive value to the business
• Assessing whether AI tools can bring substantive value to the business

2. Function and Technical Evaluation

• Core Functionality: Whether the main functions of the tool meet business needs
• Technical Sophistication: The maturity and advancement of the underlying technology
• Accuracy and Quality: The accuracy, reliability, and output quality of AI models
• Adaptability: The ability to adapt to different business scenarios and data types
• Customizability: The customization and personalization capabilities of the tool

3. Integration and Compatibility

• System Integration Ability: The difficulty of integrating with existing IT systems and business processes
• API and Interfaces: Whether the provided APIs and interfaces are complete and easy to use
• Data Connectivity: The ability to connect with and interact with enterprise data sources
• Platform Compatibility: The compatibility of the tool with the operating system and platform used by enterprises

4. Security and Compliance

• Data Security: Data encryption, access control, and security transmission mechanisms
• Privacy Protection: User data privacy protection measures and strategies
• Compliance Certification: Whether it meets industry standards and regulatory requirements (such as GDPR, data security law, etc.)
• Audit Trail: Providing complete audit trails and operation logs

5. User Experience and Usability

• Interface Design: Whether the user interface is intuitive and easy to use
• Learning Curve: The ease with which enterprise employees can master and use the tool
• Multilingual Support: Whether the tool supports the languages needed by enterprises
• Collaboration Ability: The level of completeness of the tool's support for team collaboration

6. Performance and Scalability

• Processing Capacity: Whether the tool can handle the data volume and number of users of enterprises
• Response Speed: The speed and timeliness of processing requests
• Scalability: The ability to expand with business growth
• Stability: The stability and fault recovery capabilities of the system

7. Supplier Evaluation

• Market Position: The market recognition and long-term development prospects of suppliers
• Technical Support: The quality and response speed of technical support provided
• Product Roadmap: The match between the product's future development plan and the needs of enterprises
• Success Case: Successful implementation cases of similar enterprises or industries

8. Cost and Return on Investment

• Total Ownership Cost: Including license fees, implementation fees, training fees, maintenance fees, etc.
• Pricing Model: Whether flexible pricing options are provided (such as per user, usage-based pricing, etc.)
• Return on Investment: Expected investment return period and rate of return
• Latent Costs: Latent costs in areas such as integration, training, data preparation, etc.

9. Trial and Verification

• Concept Validation: Conducting concept validation tests in a small scale
• Trial Evaluation: Evaluating the tool's actual effect in a real business environment
• User Feedback: Collecting actual users' experience and feedback
• Actual Effect: Verifying the tool's actual effect in solving specific business problems

RunMan Technology provides professional AI tool evaluation and selection consulting services to help enterprises develop scientific and reasonable evaluation standards, screen out the most suitable AI tools and platforms for them. We also provide AI tool integration implementation services to ensure that the tools can be deployed smoothly and seamlessly integrated with existing enterprise systems, maximizing the application value of AI tools.

Enterprise AI training should be designed according to the needs and responsibilities of different roles. RunMan Technology recommends the following training framework:

1. Leadership Training Content

• Overview of AI Strategy: Trends in AI development, industry application cases, and strategic value
• Business Transformation Opportunities: How AI can drive business innovation and transformation
• Investment Decision Framework: Investment assessment and priority determination of AI projects
• Change Management: Organizational change management in the process of AI implementation
• Risk and Compliance: Ethical, legal, and compliance considerations of AI applications
• Measurement and Evaluation: Methods for measuring and evaluating the success of AI projects and their effects

Training Method: Executive Seminars, Case Studies, Industry Trend Briefings, Cross-Industry Visits

Training Cycle: Quarterly update, half a day to one day each time

2. Management Training Content

• AI Application Scenarios: Identifying AI application scenarios in departmental and business processes
• Project Management: Methods for planning, implementing, and managing AI projects
• Team Building: Strategies for building AI teams and talent development
• Change Promotion: Methods for promoting team acceptance and application of AI
• Data Strategy: Basis for data resource management and governance
• Performance Evaluation: Methods for evaluating and optimizing AI application performance

Training Method: Hands-on Workshops, Scenario Simulations, Application Case Discussions, Specialized Training

Training Cycle: Monthly or bi-monthly, 1-2 days each time

3. Technical Team Training Content

• AI Technology Foundations: Basic theories of machine learning, deep learning, natural language processing, etc.
• Data Processing: Data collection, cleaning, annotation, and feature engineering
• Model Development: Model training, tuning, and evaluation methods
• Development Tools: Mainstream AI frameworks and development tools (such as TensorFlow, PyTorch, etc.)
• System Integration: Methods for integrating AI systems with existing enterprise systems
• Deployment and Monitoring: Deployment, monitoring, and maintenance of AI models
• Security and Privacy: Security protection and privacy protection of AI systems

Training Method: Hands-on Training, Programming Experiments, Project Practice, Technical Lectures, Online Courses

Training Cycle: Continuous Learning, Periodic Specialized Training (1-2 times per month)

4. Business User Training Content

• AI Application Basics: Basic concepts and working principles of AI tools and applications
• Tool Use: Practical operation and use methods of specific AI tools
• Business Scenario Application: How to apply AI tools in daily work to improve efficiency
• Data Quality Awareness: The impact of data quality on AI effectiveness and data entry standards
• Result Interpretation: How to understand and apply the results of AI analysis
• Problem Feedback: How to handle and provide feedback on problems encountered during use

Training Method: Demonstration, Practical Cases, Interactive Teaching, Micro-courses, Online Learning Platforms

Training Cycle: Training when a new tool is launched, periodic retraining and updates (every quarter)

5. Cross-Department Training Projects

• AI Innovation Workshop: Cross-department teams exploring AI innovation applications
• Data Collaboration Training: Improving cross-department data sharing and collaboration capabilities
• AI Ethics and Responsibility: Promoting AI ethical awareness and responsibility among all employees
• AI Project Practice: Small-scale AI project implementation by cross-functional teams

Training Method: Mixed Team Workshops, Practical Projects, Role-playing, Case Discussions

Training Cycle: Quarterly or semi-annually, lasting 1-3 days

6. Training System Construction Suggestions

• Needs Assessment: Conducting AI capability assessment to identify training needs for different roles
• Hierarchical Design: Designing differentiated training content based on role and ability level
• Mixed Approach: Combining online courses, offline hands-on practice, and project practice
• Step-by-Step Progression: Building from basics to advanced levels, gradually increasing training depth
• Practical Application: Emphasizing the application of knowledge learned in practical work
• Continuous Improvement: Continuously optimizing training content based on technological development and feedback
• Effectiveness Evaluation: Establishing a training effectiveness evaluation and feedback mechanism

RunMan Technology provides customized enterprise AI training solutions, designed scientifically and reasonably based on the actual needs and development stages of enterprises. Our training team consists of experts in the AI field and experienced trainers, providing comprehensive AI training services from entry level to professional level.

The process of collaborating with RunMan Technology is clear and transparent. We are committed to providing professional, efficient service experiences for our customers. The following is the standard cooperation process:

1. Initial Contact and Needs Communication

• Customers contact us through the official website, phone, email, or through partner introductions
• RunMan Technology assigns a professional consultant to communicate with customers to understand basic needs and expectations
• Arranging an initial meeting to discuss business scenarios, technical environments, and challenges
• Both parties confirm the cooperation intention and subsequent processes

2. Needs Assessment and Solution Design

• Professional teams conduct in-depth needs analysis and on-site research (if necessary)
• Assessing the existing IT environment and infrastructure of the customer
• Identifying key needs and potential risks
• Designing preliminary solutions and implementation roadmaps
• Developing investment budgets and expected return analysis

3. Solution Presentation and Optimization

• Presenting customized solutions to customers, including technical architecture, implementation plan, and investment budget
• Answering customer questions, collecting feedback
• Optimizing details of the solution based on customer feedback
• Reaching final consensus on the solution

4. Business Negotiation and Contract Signing

• Business teams negotiate with customers on service scope, delivery standards, price terms, etc.
• Developing service level agreements (SLA) and acceptance standards
• Clarifying responsibilities and obligations of both parties
• Signing a formal cooperation contract

5. Project Launch and Implementation

• Establishing a professional project team, assigning a project manager
• Holding a project launch meeting to confirm project goals, scope, and time plan
• Developing detailed implementation plans and milestones
• Implementing the project according to the plan, including design, development, testing, deployment, etc.
• Regularly reporting project progress to customers

6. Testing and Acceptance

• Conducting comprehensive system testing and performance verification
• Resolving issues found during testing
• Organizing user training to ensure that customers can effectively use the new system
• Preparing complete technical documentation and user manuals
• Conducting formal customer验收 according to the agreed acceptance standards

7. Delivery and Go-Live

• System officially delivered and launched
• Providing go-live support and problem resolution
• Ensuring system stability and business continuity
• Completing knowledge transfer and交接

8. Post-Sales Service and Ongoing Support

• Providing post-sales technical support and maintenance services in accordance with the service agreement
• Regular system health checks and performance optimization
• Continuously collecting user feedback to continuously improve service quality
• Providing technical upgrades and expansion services
• Establishing long-term cooperative relationships with customers, providing continuous technical consulting and support

RunMan Technology places great emphasis on customer experience and service quality, maintaining high efficiency and transparency throughout the cooperation process. We will assign a dedicated customer manager for each customer to follow the project progress and service quality, ensuring that customer needs are fully met. Regardless of the size of the project, we approach each with the same professional attitude and service standards, aiming to establish long-term, trusting cooperative relationships with customers.

The service fee structure of RunMan Technology varies depending on the type of service, project scale, complexity, and customer needs. We provide transparent, reasonable pricing systems to ensure that customers receive high-value-for-money services. The following are the main service types and their fee models:

1. IT Outsourcing Service Fee Model

• Basic Annual Service Package: Fixed annual service fee based on service content, coverage range, and SLA level
• Billed by Device Number: Monthly or annual fees based on the number of managed devices (such as servers, network equipment, terminal equipment, etc.)
• Billed by Number of Users: Monthly or annual fees based on the number of supported users
• On-site Service: Monthly fees based on the number of on-site engineers and service level
• Pay-as-you-go Service: Fees based on actual workload or hours for temporary or specific project needs

2. System Integration Project Fee Model

• Overall Project Quotation: Quoting based on project scope, complexity, and delivery cycle
• Hardware+Software+Service: Hardware and software at market prices plus reasonable profit, service fees based on workload
• Installment Payments: Usually paid in stages, such as advance payment + milestone payment + acceptance payment
• Annual Maintenance Fee: Annual maintenance fees based on a certain proportion of the total investment in the project (usually 10-15%)

3. Solutions Consulting Service Fee Model

• Fixed Project Fee: Fixed consulting fees based on consulting scope and depth
• Per Day Rate: Fees based on expert level and working days
• Outcome-oriented Pricing: Pricing based on the value and quality of deliverables

4. AI Application and Training Service Fee Model

• AI Application Development: Project pricing based on application complexity, customization level, and data processing volume
• AI Tool Integration: Service fees based on the scope and technical difficulty of integration work
• Enterprise AI Training: Training fees based on training content, hours, number of participants, and levels
• Continuous AI Service: Providing continuous service for maintaining and optimizing AI models, billed monthly or annually

5. Special Services and Value-added Services

• Emergency Support Services: Emergency response services outside of service hours, charged per call or hourly
• Special Security Services: Such as security assessments, penetration testing, etc., priced based on scope and depth
• Data Recovery Services: Fees based on data volume and recovery difficulty
• Disaster Recovery Drills: Fees based on drill scale and complexity

6. Pricing Factors

The main factors affecting final pricing include:

• The breadth and depth of service scope and content
• The response time and solution time required by service level agreements (SLA)
• The complexity and scale of the technical environment
• The level and number of professional technical personnel required
• The duration of project implementation and resource investment
• The industry characteristics and special requirements of customers
• The duration of cooperation and business scale

RunMan Technology places great emphasis on service value and customer satisfaction. We will provide customized service solutions and reasonable price schemes based on the actual situation and needs of customers. For long-term cooperative customers, we offer more competitive prices and priority service guarantees.

If you would like to learn more about the detailed service quotes, please contact us, our sales consultants will provide you with detailed quote proposals based on your specific needs.

RunMan Technology provides IT services and solutions nationwide. We ensure timely, professional service support through our headquarters, branch offices, and partner networks across the country.

Service Network Layout

• Headquarters: Shanghai (Eastern China Service Center)
• Partner Networks: Establishing cooperative relationships with many regional service providers across the country, covering a wider range of third- and fourth-tier cities

Service Delivery Modes

Based on the location of the service and the type of service, we provide the following service delivery modes:

• On-site Service: In cities where we have branch offices, we can provide on-site service and rapid on-site response
• Remote Service: Providing real-time remote diagnosis and problem-solving through remote technical support platforms
• Hybrid Service Mode: Combining remote support with regular on-site service to balance service efficiency and cost
• Partner Services: In some areas, local partner services are provided on-site, while RunMan headquarters provides secondary technical support

National Project Implementation Capabilities

For system integration and solution projects, we have the following national project implementation capabilities:

• Multi-location Collaborative Implementation: For large-scale cross-region projects, multiple branch offices work together
• Uniform Project Management: Using standardized project management methods to ensure consistent project quality across regions
• Expert Resource Allocation: Allocating expert resources nationwide based on project needs
• Local Service Teams: Establishing service teams familiar with local conditions to provide services close to customers

Response Time Commitment

Different regions' service response time commitments:

• First-tier Cities (Locations of Direct Subsidiary Companies):
  • Remote Response: Within 30 minutes
  • On-site Response: Within 2 hours (during working hours)
  • Emergency Fault Handling: Arriving on-site within 1 hour (7×24 service)
• Second-tier Cities (Locations of Service Points):
  • Remote Response: Within 30 minutes
  • On-site Response: Within 4 hours (during working hours)
  • Emergency Fault Handling: Arriving on-site within 2 hours (7×24 service)
• Third- and Fourth-tier Cities and Other Regions:
  • Remote Response: Within 30 minutes
  • On-site Response: Within 24 hours (during working hours)
  • Emergency Fault Handling: Depending on distance and traffic conditions, usually within 4-8 hours

National Service Advantages

• Uniform Service Standards: Implementing uniform service processes and quality standards across the country
• Multi-level Technical Support: Multi-level support mode combining local service teams and headquarters expert teams
• Flexible Resource Allocation: Allocating national technical resources flexibly based on project needs
• Local Service Experience: Understanding local needs and environment to provide services tailored to customers
• Centralized Management Platform: Implementing centralized service management platform to achieve end-to-end service process visualization management

For large cross-region enterprise customers, we provide customized national service solutions, including designated national customer managers, uniform service standards and SLA, dedicated technical support teams, ensuring consistent service experience for branch offices across the country.

If you have any questions about the service capabilities and response time of a specific region, please contact us, and we will provide you with detailed service solutions based on your specific needs.

RunMan Technology places high importance on service quality, establishing a comprehensive quality management system and multiple safeguards. Customers can evaluate our service quality through the following aspects:

1. Service Quality Evaluation Indicators

• Service Response Time: Time from receiving service request to response
• Problem Resolution Time: Time from receiving service request to completely resolving the problem
• First Resolution Rate: Ratio of problems resolved in the first instance
• Service Availability: Ratio of system availability and service availability
• Customer Satisfaction: Customer satisfaction collected through satisfaction surveys
• Repeat Problem Rate: Frequency of repeated issues
• Effectiveness of Preventive Measures: Effectiveness of proactive measures in reducing problem occurrence
• Timeliness of Project Delivery: Ratio of projects delivered on time
• Professionalism of Service Personnel: Technical capabilities and professional level of service personnel

2. Service Quality Assurance System

• ISO 20000 Certification: We have passed the ISO 20000 IT service management system certification, ensuring standardized and standardized service processes
• ITIL Best Practices: Using the ITIL framework to design and manage IT service processes, ensuring continuous improvement of service quality
• Service Level Agreement (SLA): Clear service level agreements with customers, with clear commitments to service content, response time, and solution time
• Multi-level Quality Inspection: Multi-level quality control through project managers' review, quality department inspection, and customer acceptance
• Continuous Training Program: Regular technical training and service skills training for service teams to continuously improve team capabilities
• Standardized Tool Support: Using professional service management tools and knowledge base to improve service efficiency and consistency

3. Customer Feedback and Improvement Mechanism

• Service Satisfaction Survey: Satisfaction surveys conducted after each service, collecting immediate feedback
• Regular Customer Visits: Customer managers regularly visit customers to understand service experience and improvement needs
• Annual Customer Satisfaction Survey: Conducting comprehensive customer satisfaction surveys annually to understand customer needs deeply
• Customer Advisory Committee: Inviting core customers to participate in service improvement discussions, directly participating in service optimization
• Rapid Response Mechanism for Complaints: Establishing a dedicated complaint handling process to ensure timely resolution of customer issues

4. Transparent Service Delivery

• Service Management Platform: Providing a customer service portal for real-time viewing of service request status and progress
• Regular Service Reports: Providing monthly/quarterly service reports, including service statistics, problem analysis, and improvement suggestions
• Project Progress Transparency: Using project management tools to keep customers informed of project progress in real-time
• Key Performance Indicators (KPIs) Report: Regularly providing reports on service KPIs
• Technical Documentation Sharing: Sharing complete technical documentation and operation manuals with customers

5. Contract Security Measures

• Service Quality Incentive and Disincentive Mechanism: Clear service quality evaluation standards and incentive/disincentive measures in the contract
• Service Compensatory Provisions: Providing clear compensation schemes for situations where service standards are not met
• Project Quality Deposit: Setting a certain proportion of quality deposit to ensure service quality
• Regular Service Review: Establishing a regular service review mechanism to adjust service content and standards in a timely manner
• Clear Responsibility Boundaries: Clearly defining responsibilities in the contract to avoid responsibility avoidance

6. Professional Team Guarantee

• Professional Qualification Certification: Technical team holds professional certifications from Microsoft, Cisco, VMware, etc.
• Industry Experience Accumulation: Having rich industry experience and successful cases
• Expert Advisory Team: An advisory team composed of experienced technical experts to solve complex technical issues
• Stable Service Team: Maintaining the stability of the service team to ensure continuity and consistency of service
• Technical Capability Enhancement: Continuously investing in technical R&D and talent development to maintain technical leadership

RunMan Technology regards quality as the lifeline of the enterprise. We not only focus on service delivery quality but also pay attention to the value that services bring to customers. Through the above comprehensive quality assurance measures, we are committed to providing customers with service experiences that exceed expectations. If you have any questions about our service quality evaluation and assurance measures, please feel free to contact us.