AI Platform Scenario-specific Model Development Service

Service Overview

The AI Platform Development and Implementation Service targets customers across various industries with specific business scenarios, aiming to address these needs through AI technologies. Based on the AI platform and combined with customer service scenarios, Huawei Cloud provides professional scenario-specific model development, planning and design, application, and AI agent orchestration services. This helps customers tackle key pain points such as difficult algorithm development, model tuning, and ecosystem migration. By purchasing this professional service, you can establish a comprehensive AI solution with the help of Huawei, swiftly achieving end-to-end AI scenario-specific modeling, tuning, and ecosystem transition tailored to your specific needs.

Service Content

• AI Platform Development and Implementation Service - AI Platform Scenario-specific Model Development Service

  Specifications	Service Content	Application Scenario
  AI Platform Scenario-specific Model Development Service - Basic	Model training: Complete model training based on the technical solution. Metric tuning: Use the customer's historical business data to verify and ensure model performance.	The customer needs Huawei's help to design AI solutions (not including use cases) that address their business problems. The model metrics must be verified and ensured with the customer's historical business data.
  AI Platform Scenario-specific Model Development Service - Standard	Model training: Build use cases and train models based on the technical solution. Metric tuning: Use the customer's historical business data to verify and ensure model performance.	The customer needs Huawei's help to design AI solutions and develop use cases that address their business problems. The model metrics must be verified and ensured with the customer's historical business data.
  AI Platform Scenario-specific Model Development Service - Professional	Model training: Build use cases and train models based on the technical solution. Model tuning: Use the customer's real-time business data to verify and ensure model performance.	The customer needs Huawei's help to design AI solutions (not including use cases) that address their business problems. The model metrics must be verified and ensured with the customer's real-time business data.
  AI Platform Scenario-specific Model Development - Platinum	Conduct requirement surveys and solution designs, construct use cases and complete model training according to the technical solution, and verify and ensure that model metrics are validated and guaranteed using customers' real-time business data.	The customer needs Huawei's use cases to train algorithms based on real data to obtain model with satisfactory accuracy. The model metrics must be verified and ensured with the customer's real-time business data.
  AI Platform Scenario-specific Model Deployment - Basic	Requirement survey: Conduct a business scenario survey, identify the customer's business pain points, and produce a requirement analysis report based on ModelArts. Solution design: Develop a technical solution based on ModelArts according to customer requirements and pain points. Solution implementation: Develop inference scripts based on the technical solution, create inference images for various devices to deploy, and deploy the images. Assist the customer with integrating algorithm APIs into its business systems.	The customer needs to train the delivered solutions and deploy them as REST APIs to connect to the business system. They need to write inference scripts, create cloud inference images, and deploy the images based on the technical solution. Huawei needs to instruct the customer on how to interconnect algorithm APIs with business systems. The service QPS is 1, and the number of resource devices is 1.
  AI Platform Scenario-specific Model Deployment Service - Standard	Requirement survey: Conduct a business scenario survey, identify the customer's business pain points, and produce a requirement analysis report based on ModelArts. Solution design: Develop a technical solution based on ModelArts according to customer requirements and pain points. Solution implementation: Develop inference scripts based on the technical solution, create inference images for various devices to deploy, and deploy the images. Assist the customer with integrating algorithm APIs into its business systems.	The customer needs to train Huawei Cloud AI assets and deploy them as REST APIs to connect to the business system. They need to write inference scripts, create cloud inference images, and deploy the images based on the technical solution. Huawei needs to instruct the customer on how to interconnect algorithm APIs with business systems. The service QPS is 2 to 5, and the number of resource devices is 2 to 5.
  AI Platform Scenario-specific Model Deployment Service - Professional	Requirement survey: Conduct a business scenario survey, identify the customer's business pain points, and produce a requirement analysis report based on ModelArts. Solution design: Develop a technical solution based on ModelArts according to customer requirements and pain points. Solution implementation: Develop inference scripts based on the technical solution, create inference images for various devices to deploy, and deploy the images. Assist the customer with integrating algorithm APIs into its business systems.	The customer needs to train Huawei Cloud AI assets and deploy them as REST APIs to connect to the business system. They need to write inference scripts, create cloud inference images, and deploy the images based on the technical solution. Huawei needs to instruct the customer on how to interconnect algorithm APIs with business systems. The service QPS is 6 to 50, and the number of resource devices is 6 to 10.
  AI Platform Scenario-specific Model Deployment Service - Platinum	Requirement survey: Conduct a business scenario survey, identify the customer's business pain points, and produce a requirement analysis report based on ModelArts. Solution design: Develop a technical solution based on ModelArts according to customer requirements and pain points. Solution implementation: Develop inference scripts based on the technical solution, create inference images for various devices to deploy, and deploy the images. Assist the customer with integrating algorithm APIs into its business systems.	The customer needs to train the delivered solution or Huawei Cloud AI assets end-to-end, deploy the model as a REST API to connect to the customer's online system, deploy the model to an edge system, and accept the service logic. The QPS for service deployment is greater than 50, and the number of resource devices is greater than 10.
  Application and AI Agent Orchestration Service - Standard	Orchestration requirement survey: Clarify the requirement scope of AI agents and evaluate the feasibility. Solution design: Design the AI agent orchestration solution based on the survey result, including basic functions such as intent recognition, search planning, knowledge search, online search, and content moderation. Orchestration implementation: Orchestrate, configure, deploy, and verify the AI agents based on the design solution.	Enable customers to swiftly integrate DeepSeek APIs with various function modules (such as database connections, online searches, and knowledge bases) for medium- and low-complexity needs.
  Application and AI Agent Orchestration Service - Professional	Orchestration requirement survey: Define the demand scope of AI agents and assess their feasibility. Solution design: Design AI agent orchestration plans based on survey results, including basic functions like intent recognition, search planning, knowledge search, online searches, and content moderation, alongside advanced functions such as tool customization, multi-agent collaboration, task scheduling, and automated execution. Orchestration implementation: Orchestrate, configure, deploy, and verify the AI agents based on the design solution.	For complex business systems requiring deep customization, it enables customers to integrate DeepSeek APIs and various function modules (such as database connections, online searches, and knowledge bases) and enables the construction of multi-agent matrices to complete intricate tasks through features like task planning and reflective execution.

• Service content of requirement survey on Application and AI Agent Orchestration Service

  Survey	Description
  Business objectives and scenario requirements	Specify the business issues to be addressed by AI agents, differentiate scenario complexities, define key metrics, and identify automatable nodes within existing operations.
  Function requirements	Specify the core capabilities of AI agents, input data types, whether context understanding, intent recognition, and content moderation capabilities need to be supported, external systems and tools to be integrated, and knowledge base requirements.
  Implementation policy	Check if it relies on workflow orchestration or code extensions and identify the specific AI models that require integration along with their deployment methods.

• Service content of orchestration solution design of Application and AI Agent Orchestration Service

  Service phase	Service Description
  Component Planning	Plan out which components will be used to achieve your business goals.
  Module Design	"sensory" module design, planning input data processing logic, capture environment and user demand information; "Brain" module design, planning memory storage, task planning process and collaborative logic, to realize decision analysis; Design the "action" module, plan the task execution and tool invoking logic.
  Data flow design	Plan how to efficiently integrate modules and components, standardize data formats, form complete data flows, and meet requirements.

Prerequisites

• Customers shall submit service requests at least 10 working days in advance to allow Huawei Cloud to assess their needs and coordinate AI experts.
• Both parties have agreed on the service objectives and have signed a contract.

Service Scope

1. Items Coverage

   Huawei offers AI Platform Development and Implementation Service tailored for AI application development and research across diverse industries. Catering to diverse customer needs at different stages, the service includes scenario-specific model development, deployment, and application and AI agent orchestration. This helps businesses seamlessly incorporate AI capabilities into their service applications, covering areas like computer vision, machine learning, NLP, and decision optimization. Additionally, Huawei provides services for scenario-specific model development, deployment, planning and design, as well as training and tuning for industries such as industrial quality inspection, sound quality inspection, process optimization, retail identification, and intelligent scheduling. Additionally, the service offers comprehensive development support, including development environment deployment, application & model development sample demonstrations, and model & application migration.

   For customers seeking applications within five key domains—product recommendations, post-sale customer service assistants, intelligent training, text generation, and knowledge base management—Huawei delivers Application and AI Agent Orchestration Service that includes:

   • Surveying customers' AI agent function requirements and clarifying business scenarios.
   • Planning components and data flows based on the requirement analysis result, and outputting an application orchestration solution.
   • Developing and interconnecting components based on the application orchestration solution to implement AI agent functions.
   • Verifying the effectiveness of AI agents.
2. Items Not Covered

   Huawei AI engineers will only deliver the services specified in this statement of work (SOW). Any services outside of this scope will incur additional charges. These excluded services include, but are not limited to:

   • Working beyond regular working days and hours as required by the customer (note that overtime pay and allowances apply).
   • Purchasing products from other companies or individuals.
   • Performing development and maintenance tasks associated with customer services that are beyond the defined scope in the project solution.
3. Service Regions

   Outside China (with product globalization strategy).

Service Process

• Service process of AI Platform Scenario-specific Model Development Service

  Service Phase	Description
  Requirement survey and evaluation	Specify the requirement scope for development and assess their feasibility.
  Solution design	Design a development service solution.
  Solution implementation	Implement solutions such as scenario-specific modeling.
  Service acceptance	The customer verifies the items in the deliverables and signs the AI Platform Development and Implementation Service Acceptance Report.
  Project handover	Hand over related deliverables to the customer to signify project completion.

  

• Service process of Application and AI Agent Orchestration Service

  Service Phase	Description
  Orchestration requirement survey	Specify the requirement scope for AI agents and assess their feasibility.
  Requirement confirmation	Confirm requirements and acceptance items.
  Application orchestration solution design	Design the AI agent orchestration solution based on the survey results.
  Solution confirmation	Report and confirm the orchestration solution.
  Orchestration implementation	Orchestrate, configure, deploy, and verify the AI agents based on the design solution.
  Service acceptance	The customer verifies the items in the deliverables and signs the Application and AI Agent Orchestration Service Acceptance Report.
  Project handover	Hand over related deliverables to the customer to signify project completion.

  

Service Deliverables

• AI Platform Scenario-specific Model Development Service

  Service name	Deliverables
  AI Platform Scenario-specific Model Development Service - Basic	Manual and Guide for AI Platform Scenario-specific Modeling Use Case Development
  AI Platform Scenario-specific Model Development Service - Standard
  AI Platform Scenario-specific Model Development Service - Professional
  AI Platform Scenario-specific Model Development - Platinum
  AI Platform Scenario-specific Model Deployment Service - Basic	AI Platform Scenario-specific Model User Guide
  AI Platform Scenario-specific Model Deployment Service - Standard
  AI Platform Scenario-specific Model Deployment Service - Professional
  AI Platform Scenario-specific Model Deployment Service - Platinum
  Application and AI Agent Orchestration Service - Standard	AI Platform Scenario-specific Model Development Service - Application and AI Agent Orchestration Service Development Report
  Application and AI Agent Orchestration Service - Professional

Responsibility Matrix

1. Common Responsibilities
   • Negotiate and confirm specific requirements and objectives.
   • Negotiate and confirm project management plans.
   • Negotiate, confirm, and review solutions.
   • Sign the contract.
2. Huawei Responsibilities
   • Huawei specifies a project owner. Customers should be notified of any personnel changes three working days in advance until the project is accepted.
   • Huawei can only use the data authorized by the customer.
   • Huawei proposes the guidance plan and quotation based on the selected services for the customer's review before the consultation.
   • Huawei provides technical guidance for the customer according to the confirmed plan during the consultation period.
   • Huawei provides the deliverable list based on the selected consultation service items after the consultation.
   • Huawei receives the service request from the customer and assigns ModelArts experts to discuss the details with the customer.
3. Customer Responsibilities
   • The customer provides detailed and accurate requirements and scenarios.
   • The customer provides necessary items for project implementation, such as training data.
   • The customer reviews and confirms the guidance plan and deliverables provided by Huawei.
   • The customer accepts the project.
4. Responsibility Details
   • AI Platform Scenario-specific Model Development Service

     The following table provides an example responsibility matrix and can be modified as needed. R = responsible party S = supporting party Note: If Huawei offers technical support for a service, the customer is responsible for its implementation.
     No.	Process	Task	Huawei	Customer
     1	Requirement proposal	Explain business scenarios and clarify requirements.	S	R
     2	Requirement understanding	Understand the requirements and define key issues.	R	S
     3	Requirement confirmation	Confirm requirements and acceptance items.	S	R
     4	Solution design	Design a scenario-specific modeling solution.	R	S
     5	Solution report	Report the modeling solution.	R	R
     6	Solution confirmation	Confirm the modeling solution.	S	R
     7	Solution implementation	Develop and deploy models and interconnect with systems.	R	S
     8	Solution acceptance	Conduct function and performance acceptance.	S	R
     9	Project handover	Sort out and hand over deliverables.	R	S
     10	Delivery confirmation	Confirm the accuracy and completeness of deliverables and confirm the completion of the project.	S	R

   • Application and AI Agent Orchestration Service

     The following table provides an example responsibility matrix and can be modified as needed. R = responsible party S = supporting party Note: If Huawei offers technical support for a service, the customer is responsible for its implementation.
     No.	Process	Task	Huawei	Customer
     1	Requirement survey	Communicate with the customer about business objectives, scenario requirements, function requirements, and real-time policies.	R	R
     2	Requirement confirmation	Confirm requirements and acceptance items.	S	R
     3	Solution design	Plan components and design modules and data flows.	R	S
     4	Solution confirmation	Report and confirm the orchestration solution.	S	R
     5	Orchestration implementation	Implement application orchestration and system interconnection.	R	S
     6	Service acceptance	Accept service functions.	S	R
     7	Project handover	Sort out and hand over deliverables.	R	S

Acceptance Criteria

Huawei submits the standard deliverables described in section "Service Deliverables" based on each service sub-item. If customers accept the deliverables, they need to click the acceptance link on the Huawei Cloud console or sign and seal the AI Platform Development and Implementation Service Acceptance Report.

• AI Platform Scenario-specific Model Development Service

  Service	Deliverables	Acceptance report
  AI Platform Scenario-specific Model Development Service - Basic	Manual and Guide for AI Platform Scenario-specific Modeling Use Case Development	AI Platform Development and Implementation Service Acceptance Report Template
  AI Platform Scenario-specific Model Development Service - Standard
  AI Platform Scenario-specific Model Development Service - Professional
  AI Platform Scenario-specific Model Development Service - Platinum
  AI Platform Scenario-specific Model Deployment Service - Basic	AI Platform Scenario-specific Model User Guide	AI Platform Development and Implementation Service Acceptance Report Template
  AI Platform Scenario-specific Model Deployment Service - Standard
  AI Platform Scenario-specific Model Deployment Service - Professional
  AI Platform Scenario-specific Model Deployment Service - Platinum
  Application and AI Agent Orchestration Service - Standard	AI Platform Scenario-specific Model Development Service - Application and AI Agent Orchestration Service Development Report	AI Platform Development and Implementation Service Acceptance Report
  Application and AI Agent Orchestration Service - Professional