Introducing AIFLOW
The AI development platform that solves security, scale, and consistency challenges simultaneously
4-Layer Platform Design
Built for enterprise: secure, scalable, and AI-native
Framework
Infrastructure Layer
NestJS · Keycloak · Kong · PgBouncer
Platform
Business Extension Layer
LangGraph · A2A Protocol · Workflow Engine
Apps
User Interface Layer
Admin Console · Studio · Portal
IQM
Quality Management Layer
Quality Gates · Audit · Compliance
Three Sites, One Unified Platform
Each site provides a role-optimized interface for its target users.
Admin Console
System AdministratorsThe admin console for managing the entire AIFLOW system
Studio
AI DevelopersAI-powered development workspace. Code analysis, generation, and testing — all in the browser
Portal
Business UsersConversion portal for AI transformation of existing systems or building new ones
4 Core Features for Enterprise AI Development
General AI tools work for small projects. Enterprise scale is different.
Private LLM Connection Module
- Direct internal Private API connection
- Zero external data leakage
- Fully compliant with existing security policies
Server-Based Dev Environment (DevSpace)
- Develop in browser without local admin rights
- Fully compliant with enterprise security
- Accessible from anywhere
UI Design Framework
- Design token-based standardization
- Consistent quality across hundreds of screens
- Custom theme configuration
Project Context Memory (PCM)
- Automatic LLM context limit management
- Session-independent project knowledge
- AI memory for large-scale projects
Request Flow
Web (Browser)
Agent Engine (LangGraph)
AI SDK
LLM (Internal API)
Before vs. After AIFLOW
Before
- External LLM API blocked
- AI dev tools unavailable
- Custom SDK required
- Local dev environment impossible
- UI inconsistency at scale
- AI memory lost between sessions
After AIFLOW
- Direct internal LLM connection
- Full AI dev tooling available
- Built-in AI SDK ready to use
- DevSpace browser development
- UI Design Framework consistency
- PCM permanent context retention