Build a "three horizontal and one vertical" government AI agent architecture with Token as the core operating unit, helping government evolve from project manager to AI agent ecosystem operator.
Customer Pain Points
Information systems across government bureaus and commissions operate in silos, making cross-department collaboration difficult.
AI application development has a high barrier to entry, involves repeated reinvention of the wheel, and lacks unified standards.
Legacy systems are hard to transform, and dormant data cannot be activated.
Fiscal investment is difficult to quantify, and budget approval relies on experience.
Solution Advantages
AI Agent Integration Hub: unified registration, authentication, collaborative orchestration, and operation monitoring, enabling cross-department AI agent coordination.
Trusted Model-as-a-Service (MaaS): model security review, physical/logical isolation, multi-model routing, and anomaly fallback.
Trusted AI Coding Zone: government-dedicated AI programming tools with built-in skill packages, automatic parsing and refactoring of legacy systems, and "development as compliance."
Token Economic Model: quantify AI Coding development and AI agent operation consumption in Tokens, ensuring "money spent transparently."
Three-Step Implementation Path: build the hub and establish trust → run dual-line pilots to prove value → release standards and expand the ecosystem, ultimately building a city-level AI-native governance architecture.
