Problem
Why is AI development so hard in large enterprises?
Security policies block AI tools, and you can't even set up a development environment.
01
Security Barriers
Enterprise security policies block access to external LLM APIs. Tools like Claude Code and Cursor simply cannot be used.
02
No SDK
Internal Private APIs have no AI integration SDK. You must build the SDK yourself before any AI-powered development can begin.
03
No Local Dev
Security policies restrict admin access on local PCs. You cannot even set up a development environment.
AIFLOW Answer
AIFLOW breaks down all three barriers.
Security Barriers→
Private LLM Connection Module
Direct connection to internal Private APIs, zero external data leakage
No SDK→
Built-in AI SDK
Ready-to-use AI integration SDK, no custom development required
No Local Dev→
DevSpace
Develop in browser, no local admin privileges required
Features
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
Vision
In the AI era, one engineer replaces an entire team.
Past
1 PM
+ 6–8 Engineers
Traditional development team
Transition
AI Tools
+ Existing Team
Mixed, inefficient
AIFLOW Era
1 Engineer
+ AIFLOW
Full SDLC coverage
AIFLOW provides AI assistance across every stage: planning, design, development, testing, deployment, and operations. We are building the era where a single engineer can lead the entire software lifecycle.