Construction is scattered
Digital construction is fragmented and lacks a unified foundation and standards.
Central and state-owned enterprise industry
Bringing AI into group control, security governance, and digital co-construction
Meeting the digital construction needs of headquarters, subsidiaries, and multiple business units, Deneb helps central and state-owned enterprises build autonomous, controllable, scalable, and sustainably evolveable AI-native platforms.
Industry pain points
The digital construction of central and state-owned enterprises focuses not only on efficiency but also on security, autonomy and control, intellectual property ownership, and unified standards. As more subsidiaries and operating units advance digitalization, companies need a unified foundation that can continuously evolve within intranet environments, privatization, and multi-tenant models.
Lack of autonomy and control
The platform is overly dependent on external vendors, making source code and iteration directions uncontrollable.
High safety requirements
High requirements for security compliance, Xinchuang adaptation, intranet deployment, and scale replication.
High replication costs
Subsidiaries and business units are built repeatedly, making it difficult to share capabilities and templates.
Weak operational capability
After the platform launched, it lacked mechanisms for continuous governance, data operations, and AI scenario incubation.
Key points for plan construction
Empowering AI to understand business, call systems, and drive action
Unified group foundation
Unified standards are built for portals, processes, integration, data, permissions, and applications.
Source code co-construction is controllable
Cultivate internal team capabilities through a co-building model, reducing long-term external dependencies.
Multi-tenant operation
Support headquarters in setting standards, with subsidiaries flexibly configuring and operating independently according to scenarios.
Intranet and Xinchuang
Meets requirements for privatization, localization, internal network closure, and domestic adaptation.
AI system assistant
Enhance auditable AI assistant capabilities by stacking policies, processes, knowledge, and business applications.
The role of the platform: turning AI into an enterprise that can be operated, audited, and reused
By using unified Ontology, system connectivity, multi-agent and low-code capabilities, AI can enter central and state-owned enterprise operations from Q&A entry points.
Touchpoint: Enterprise AI digital workbench
Targeting headquarters management, subsidiaries, digital teams, functional departments, and frontline employees, it offers AI Kanban, AI data inquiry, digital employee collaboration, as well as PC, mobile, and IM integration.
Application layer: AI-native business systems
Centered on high-value scenarios of central and state-owned enterprises, processes and data, knowledge, and collaboration are accumulated into configurable and reusable business applications.
Ontology Engine: Enterprise business semantic layer
Through objects, attributes, relationships, actions, functions, process rules, security, governance, and publishing, AI understands the true semantics of industry business.
AI intelligence and construction
Supports agent decision-making meetings, digital employee management, identity and memory, tool integration, permission governance, model usage, and low-code generation.
Knowledge and system integration
Connecting RAG's unstructured knowledge base, as well as existing systems such as portals, OA, data platforms, unified authentication, archive systems, and business systems, it enables a closed loop of business data, institutional knowledge, and process actions.
Cloud Market: Reusing enterprise AI assets
Accumulate Ontology industry template libraries, Skill marketplaces, workflow templates, knowledge packs, API action libraries, Agent templates, application templates, and governance strategy libraries.
Key capabilities for solution implementation
From business understanding to closed-loop action
Enterprise Ontology Construction
Modeling organizations, units, systems, processes, items, permissions, applications, data, and metrics in a unified manner.
Platform co-construction
Through co-construction of source code, standard setting, and internal team takeover, it forms an independently controllable platform asset.
Multi-tenant operation
Under a unified foundation, it supports subsidiary activation, scenario configuration, permission isolation, and unified operation.
Security governance
Supports privatization deployment, Xinchuang adaptation, audit traceability, permission governance, and intranet operation.
Solution implementation path
A unified method facilitates investment evaluation, asset accumulation, and reuse across more industry scenarios.
01
Formulate a platform blueprint
Clarify headquarters standards, co-construction boundaries, Xinchuang requirements, pilot units, and replication paths.
02
Build a unified foundation
Launch portals, processes, integration, data, permissions, forms, and low-code capabilities.
03
Sedimentation demonstration application
Select high-value headquarters and subsidiary scenarios to form benchmark models.
04
Cultivate internal teams
Through co-construction and joint delivery of source code, enterprise teams can take over platform iterations.
05
Combined with AI capabilities
Access system Q&A, material generation, approval assistant, data Q&A, and governance dashboards.
06
Scale replication operations
Replicate to more business units according to unified standards, continuously accumulating templates and assets.
High-value business scenarios in central and state-owned enterprises
Focusing on the core business chain of the current industry, we organize analysis, judgment, and execution into a reusable closed loop.
Co-creation on a digital foundation
Multi-tenant operation
Intranet security innovation platform
System-based knowledge digital employees
Platform governance and operations
Co-creation on a digital foundation
Headquarters-level digital construction requires unified standards and long-term governance, but scattered projects are difficult to accumulate as group assets.
Construction methods
Adopt a co-construction of source code and co-creation model for platforms, focusing on building a unified portal, unified process, unified integration, and unified data capability foundation.
Application process
Blueprint planning - > Platform co-construction - > Core competencies launched - > Demonstration application implementation - > Internal team takeover - > Continuous iteration
Solution Effectiveness
- Achieve independent control over platform capabilities, source code, and intellectual property
- Reduce long-term external dependencies
- Forming group-level platform assets
Multi-tenant operation
Multiple subsidiaries, multiple operating units, and multiple types of business require unified standards while maintaining scenario flexibility.
Construction methods
Delivered using a privatized SaaS multi-tenant model, supporting flexible configuration of business scenarios for each unit under unified standards.
Application process
Headquarters sets standards - > Subsidiary tenant activation - > scenario configuration - > system integration - > unified operation
Solution Effectiveness
- Improves copy speed
- Reduce redundant construction and operational complexity
- Balancing unity and flexibility
Intranet security innovation platform
Under high security, closed internal networks, and Xinchuang requirements, business innovation must balance security boundaries and efficiency.
Construction methods
Through privatization deployment, security hardening, permission governance, and unified interface management, it undertakes the construction of high-security business applications.
Application process
Environmental planning - > Security baseline construction - > Application access - > Data service openness - > Continuous iteration
Solution Effectiveness
- Meets high safety and autonomous controllability requirements
- Supports system assistants and knowledge Q&A scenarios
- Unified auditing and authority governance
System-based knowledge digital employees
Systems, processes, templates, and knowledge are scattered, while employee consultations and material preparation rely on human experience.
Construction methods
Accumulate system documents, process rules, template materials, and historical cases into authorizable knowledge packages, and configure digital staff for systems.
Application process
Knowledge Summary -> Permission Configuration -> Q&A Verification -> Process Linkage -> Usage Analysis -> Knowledge Supplementation
Solution Effectiveness
- Reduce duplicate system Q&A
- Unify the standard of institutional interpretation
- Make knowledge use auditable and governable
Platform governance and operations
If a platform lacks operational mechanisms after construction, it is difficult for applications, data, permissions, and AI capabilities to continuously evolve.
Construction methods
Establish application templates, data metrics, permission audits, model usage, and scenario operation dashboards.
Application process
Asset inventory - > Standard release - > Usage monitoring - > Risk audit - > Template accumulation - > Replication and promotion
Solution Effectiveness
- Enhance the platform's long-term operational capabilities
- Ensure safety and compliance
- Promoting continuous incubation of AI scenarios
Business value
From local efficiency improvements to measurable intelligent operations
Asset value
Upgrade digital projects into foundational assets that can be accumulated and replicated.
Controllable value
Balancing autonomy and controllability, security and controllability, and business innovation efficiency.
Organizational values
Cultivate internal digital teams and sustainable operational capabilities through a co-construction model.
Replicating value
Flexible configuration of headquarters standards and subsidiary scenarios in parallel reduces redundant construction.
AI value
Creating an auditable AI capability loop through systems, processes, knowledge, and data.
Headquarters can unify standards
Portals, processes, integration, data, and permissions form a unified foundation at the group level.
Subsidiaries can be flexibly allocated
Multiple tenants support the rapid implementation of different business units.
The platform can be autonomous
Source code co-construction, privatization, and Xinchuang adaptation guarantee long-term control.
AI can operate safely
Institutional Q&A, material generation, and data Q&A operate within permissions and audits.
Building a closed-loop AI-native operation for central and state-owned enterprises
Starting from a high-value scenario, accumulate replicable enterprise AI assets and gradually expand to more business units and operational scenarios.