Huawei Cloud Software / SaaS China Translated from Chinese

Kuakua Jingling (夸夸菁领)

Customer Service Automation · Enterprise Knowledge Search

Kuakua Jingling needed a secure, always-on platform for AI digital employees that could handle sensitive government and enterprise workflows while supporting fast model iteration and tenant-specific knowledge.

7x24 automated execution capability
more than 100 container nodes
problem-location efficiency improved 50%
service and creation efficiency improved nearly 2 times

Reported impact

Business outcome

Kuakua Jingling launched a more secure and reliable digital-employee platform, improved issue-resolution speed, and nearly doubled service and creation efficiency while keeping sensitive customer data protected.

  • Productivity Improvement
  • Risk Reduction
  • Scalability

Solution

Kuakua Jingling built its digital-employee service on Huawei Cloud by combining microservices infrastructure, Huawei security controls, the Pangu large-model stack, and ModelArts. The application runs across more than 100 container nodes and serves government and enterprise workflows that require tenant isolation, high availability, and 24x7 task execution. At the model layer, the team uses Pangu capabilities from general understanding and generation through fine-tuning and scenario decision support so each digital employee can absorb private data, retain memory, and respond to domain-specific tasks. ModelArts provides the one-stop environment for data processing, model training, deployment, and management, shortening iteration cycles while letting the company retrain and publish role-specific assistants. Huawei Cloud's WAF, DDoS protection, encryption, and disaster-recovery tooling keep the SaaS platform secure and resilient while the models serve HR and service workflows.

Data flow

Government and enterprise data is isolated inside the multi-tenant SaaS platform, then processed and fine-tuned in ModelArts and the Pangu stack to build customer- and role-specific assistants. The resulting digital-employee models are served back through the microservices layer into 24x7 workflow and service interactions.

Solution architecture

6 components · 4 layers
  1. Compute
    • Pangu large model Provides the understanding, generation, adaptation, and decision capabilities used by digital employees.
  2. Serving
    • digital employee platform Serves the end-user assistants that automate government and enterprise workflows.
  3. Orchestration
    • microservices architecture Runs the SaaS application across more than 100 container nodes for high availability and scale.
    • ModelArts Supports end-to-end data processing, model training, deployment, and model management.
  4. Governance
    • Web Application Firewall Protects the multi-tenant service from web-based attacks against sensitive customer workflows.
    • DDoS protection service Helps keep the platform available under traffic and network-attack pressure.

Architecture clues

  • ModelArts handles the full AI lifecycle from data processing to deployment.
  • Security and resilience rely on WAF, DDoS defense, encryption, and remote-replication/disaster-recovery controls.
  • The Pangu stack is described in L0, L1, and L2 layers from general capability to scenario decision support.
  • The SaaS application is deployed as microservices across more than 100 container nodes.

Evidence from the source

"Huawei Cloud's support improved problem-location efficiency by 50% and nearly doubled service and creation efficiency. (original: 问题定位效率提高50%... 帮助公司将服务、创造等方面的效率提升近2倍。)"
"Kuakua Jingling relies on big data, cloud computing, AI algorithms, and large models, trains vertical and customer-specific models on Pangu, and serves government and enterprise customers with digital employees. (original: 夸夸菁领依托大数据、云计算、AI算法、大模型等技术... 并依托盘古大模型训练垂直行业大模型,以及利用政府和企业的私有数据来训练专有大模型,为各级政府及企业客户提供... 数智化产品和服务。)"
"ModelArts provides the one-stop environment for data processing, algorithm development, model training, deployment, and management. (original: 华为云提供AI开发者的一站式开发平台ModelArts... 覆盖从数据处理、算法开发到模型部署的全流程。)"
"Pangu capabilities from L0 through L2 give the digital employees understanding, generation, industry fine-tuning, real-time response, and intelligent decision making. (original: 华为盘古大模型从L0到L2各层能力逐步深化,L0具备强大的理解、生成能力;L1融入行业数据、逻辑,定制化训练优化;L2则强调场景适应性、实时响应与智能化决策。)"
"The digital-employee platform runs as microservices on more than 100 Huawei Cloud container nodes with encryption, WAF, DDoS defense, and security monitoring. (original: 数智员工采用微服务架构部署在华为云100多个容器节点上... 其Web应用防火墙及DDoS防护服务有效抵御网络攻击,结合安全监控工具,华为云提供全方位安全保障。)"
Transparency Evidence & methodology 100/100 reference value · 81% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence81%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency10/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Huawei Cloud

    夸夸菁领_标杆案例_华为云

    First-party
    https://www.huaweicloud.com/cases/kuakuajingling.html
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Dec 14, 2024 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.