Company costs
start dropping from 20%

Based on our proprietary “AIX” framework + FDE
AI at the core, rebuilding the enterprise growth engine

Free · 2 min · Instant Results Learn the Methodology
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20yrs
One thing only: turning technology into profit
Building an L4 AI Organization
Rebuilt workflows × human-AI division of labor
3wks
to a diagnosis plan
90days
to first financial results
AI Workforce · Process Reengineering · Business Reshaping
With financial metrics as the only goal
Manifesto
“AI is not a tool,
it is the organizational form itself.”
We don't just install a few AIs
We rebuild the organization's relations of production

Deep in three industries, industry know-how × AI reconstruction

The methodology is cross-industry reusable, but delivery must understand the industry. We focus on three industries where we have first-hand experience, injecting industry insight into AI workers so reconstruction truly lands.

01
🤝

Human Resources Industry

Human Resources

AI reconstruction for headhunting, recruitment and talent services: monetizing consultant networks, intelligent candidate matching, full-funnel conversion from lead to signed contract. Every headhunter leads an AI worker team.

HeadhuntingTalent PlatformsRecruitment ServicesNetwork Monetization
02
📈

Key Account Sales Industry

Key Account Sales

Business reshaping for long-cycle B2B key account sales: AI workers handle intelligence and opportunity follow-up, process reengineering connects the full chain, sales data becomes an asset. Codify top sales playbooks into AI-replicable SOPs.

B2B SalesAI WorkersOpportunity ManagementIntelligence-Driven
03
🎓

Education Industry

Education

Business reshaping for education and training institutions: AI-empowered enrollment, AI-produced course content, automated student services. Financial metrics as the only goal — visible cost reduction and efficiency gains.

Enrollment ConversionContent ProductionStudent OperationsCost Reduction
Core Team

Core Team

Core team advises throughout, FDE engineers stay on-site, AI workers join your team

陈

Chen Youyou

AI Transformation Consultant
Renmin University of China · Planning
20+ years in digital & AI Serving listed companies / SOEs / ministerial agencies Balancing standardized management with fast on-the-ground delivery
L

Lauren Lee

AI Operations Process Architect
Singaporean · Australia-educated
AI Operation Process Architect at a Global Top 5 Technology Company
王

Wang Hui

Industry Consultant
Renmin University of China Business School
SCGC Venture Capital · Investment Role Investment Banking, Major Bank Industry consulting & IPO services for multiple enterprises
罗

Luo Dongju

Technical Advisor / AI Architect
Senior Engineer
AIX Technical Advisor / Expert AIX Agent Architect Technical review for listed companies / SOEs / government
叶

Ye Luchun

Marketing Expert
Renmin University of China Business School
AI-driven growth practitioner · hundreds of thousands of IP followers Long-term advisor to China's largest AI paid community Long-term AI transformation advisor to a 2026 Hong Kong-listed company
Service Matrix

3 customer types × 3 delivery stages, combined as needed

Diagnose first, then prescribe. Based on maturity and growth needs, we tailor the optimal delivery path from the matrix — enter at any single point or take full-chain managed delivery.

Customer Type ↓ / Delivery Goal → AI WorkforceOperational Process ReengineeringTactical Business ReshapingStrategic
Mature Business
Revenue 100M+ · Cost Reduction
AI Workforce Staffing
Configure AI workers for existing teams, rewrite human-AI collaboration SOPs
Efficiency Process Reengineering
Deploy an AI work platform, connect and automate department-level processes
Full Business Reshaping
Four-dimension diagnosis + org redesign + AI governance, locking in cost-reduction targets
Emerging Business
10M–100M · Growth
AI Worker Squads
AI workers deployed in formation, 7×24 follow-up and processing
Business Process Reengineering
End-to-end rebuild of core business chains, growth-oriented
Growth Business Reshaping
Growth-centered business design, AI-ifying organization and business model
Startup Team
Under 10M · Extreme Efficiency
Full AI Workforce Kit
Reuse AICOR's proven organization structure, out of the box
Automation Pipeline
Automate core business processes, run a closed loop with minimal headcount
AI-Native Business Design
Design an AI-native organization from scratch — one-person company capacity architecture
Methodology

Two engines: “AIX” framework × “FDE” delivery system

Our theoretical foundation comes from methodology refined in first-line practice and validated in our own organization before delivery — every framework has run through real business.

01

“AIX” framework

AI Reconstruction Framework

The four-dimension operating system for enterprise AI reconstruction: systematic reconstruction of strategy, organization, process and data — upgrading AI from a “toolbox” to an “organizational form”. Adapts to mature, emerging and startup customer profiles.

Four-Dimension ReconstructionOrg DiagnosisAI GovernanceHuman-AI SOP
02

“FDE” delivery system

Full-Delivery Engine

The eight-step delivery engine from diagnosis to landing: business diagnosis → solution design → tool deployment → process reengineering → AI worker onboarding → human-AI training → effect measurement → continuous operation. Every step has clear deliverables and financial targets.

Eight-Step MethodStandardized DeliverablesFinancial Targets80% Reuse Rate
Product Lines

Three progressive stages, leaving a trace at every step

Each stage has clear deliverables, acceptance criteria and financial targets. Clients can enter at any stage or walk the full chain together.

Stage 01 · Operations

AI Workforce

AI Workforce
  • AI worker selection and onboarding for enterprise roles
  • Human-AI collaboration SOP design
  • Integration with enterprise knowledge base and workflows
  • Team training and handover coaching
Deliverables: AI worker team + staffing table + SOP manual
Stage 02 · Tactical

Process Reengineering

Process Reengineering
  • End-to-end rewrite of core workflows
  • AI work platform selection and deployment
  • Data integration and knowledge base building
  • Automation and human-AI division solidification
Deliverables: reengineered processes + working system + data dashboard
Stage 03 · Strategic

Business Reshaping

Business Reshaping
  • Four-dimension AI maturity diagnosis
  • Business goals and org structure redesign
  • AI governance and decision-making mechanisms
  • Financial target alignment and roadmap
Deliverables: diagnosis report + reshaping plan + implementation roadmap
aicor.vip — live org telemetry
$ aicor org --status ├─ Org Level L4 · Agentic Org ✓ ├─ Departments 6 · Running 24/7 ├─ AI Workers 8 · Parallel Dispatch ├─ Human Experts 5 · Key Decisions ├─ Knowledge Base 30+ Pages · Ever-growing └─ Monthly Cost ≈ 1/10 of a Traditional Team ✓ $ aicor delivery --method FDE → 8-step engine ready · methodology reuse 80%+ ✓ $
Self as Product

We don't talk concepts,
we are our own case

AICOR proves it with its own organization: a company of 1 human + AI workers can hold the full capacity of a traditional consulting team — faster, cheaper, and fully traceable.

01
Open Cockpit
Organization telemetry is transparent to clients; delivery is visible end-to-end
02
Lighthouse Case in Progress
First client delivery underway, ROI data published continuously
03
From Project to TaaS
Project delivery → template subscription → value-based sharing, long-term client partnership
View Case Details
Organization

AICOR is an L4
human-AI collaborative organization

AICOR's organizational structure is the product demo: 1 human CEO, 6 departments running 24/7 on 8 AI workers, and 5 industry experts for critical judgment. Experts direct, AI workers execute, experts approve, clients receive.

🧭

Strategy-First Decision Mechanism

Every task passes the strategic review gate before entering the human-AI workflow

⚡

Parallel Dispatch Execution Engine

Independent tasks dispatched in parallel; throughput far beyond traditional teams

🗂️

Organizational Memory of Knowledge Assets

All outcomes settle into the enterprise knowledge base; 80%+ methodology reuse

🎯

Revenue-Chain KPI System

From intelligence and leads to contracts and payments — fully quantified and trackable

View Organization Details
AICOR · Org Structure
L4 AGENTIC ORG
陈
Chen Youyou · CEO
Only human decision-maker · 20 years in product/digital/AI
Brand & Marketing AI
Strategic Intel · Market Analysis · Brand Strategy
Sales & Operations AI
Ad Spend · Acquisition · Order Conversion
Consulting AI
Research & Analysis · Consulting Solutions
Product & Technology AI
Implementation · FDE Engineering
Finance AI
Budget · Cash Flow · ROI Modeling
Human Resources AI
Org Structure · AI Worker Management
+ Core Team: Consulting / HR / Industry / Technology / Investment ◉ Live Now
News & Insights

News · What's happening at AICOR

2026-10-08行业观察

人民日报刊文:中国将面向发展中国家提供 5000 个 AI 研修名额,建设国际 AI 应用合作中心

人民日报 10 月 8 日刊文阐述全球 AI 普惠合作:未来 5 年提供 5000 个 AI 专题研修名额,面向东盟、非盟等建设国际人工智能应用合作中心。
Read more →
2026-10-08行业观察

蔡崇信呼吁欧洲建设自有算力、拥抱开源 AI:Qwen 衍生模型已达 15 万个

据彭博社报道,阿里巴巴主席蔡崇信 10 月 7 日在都灵表示,欧洲应建设自己的算力基础设施并拥抱开源 AI;Hugging Face 数据显示 Qwen 衍生模型约 15.1 万个。
Read more →
Research Reports

Research Reports · The market is not guessed

2025.08
—2026.08
近 1 年

主流 AI Agent 对比报告

覆盖近 1 年:通用 Agent 助手、智能体开发平台、开发框架三类玩家——任务自动化、企业落地、成本与合规对比,MCP 生态演进时间线,企业落地路径 5 条建议与「Demo→生产」判断。30 条编号来源。
Read more →
2023
—2031
近 3 年 + 未来 5 年

大教育产业报告

大教育产业全景与五大赛道(K12 / 职业教育 / 高等教育 / 企业培训 / EdTech):2023—2026 政策与需求回顾、AI 重塑教育五大形态、竞争格局与 AICOR 空位、2026—2031 区间预测。30 条编号来源,预测值全量标注。
Read more →
2023
—2031
近 3 年 + 未来 5 年

To G 大客户销售市场产业报告

To G 市场全景:政务信息化四层口径结构、2023—2026 财政与政策回顾、AI 对 G 端的影响(政务大模型 / 智能审批 / 中标爆发)、销售模式变化(预算立项 / 招投标 / 回款账期 / 方案型转型)、2026—2031 预测。38 条编号来源。
Read more →
2023
—2031
近 3 年 + 未来 5 年

To B 大客户销售市场产业报告

To B 市场全景:企业数字化采购分层结构、决策链演化(CIO → 业务线 → 一把手)、AI 对 B 端的影响(采购范式迁移 / 场景渗透)、销售模式变化(AI 获客 / AI SDR / 顾问式销售)、2026—2031 预测。25 条编号来源。
Read more →
Contact

Let AI become your
core organizational competitiveness

Scan to add me on WeChat (same number as phone) and talk to the founder directly, or follow our account for real cost-saving cases.

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Intranet

Company Internal Systems · Transparent Operations

Knowledge Base · Leadership Cockpit · Employee Roster — we run this company with the methodology we sell; organizational telemetry is public and delivery is fully visible.

FAQ

FAQ

The questions clients ask most about AI workforce, cost reduction and AI transformation

What is an "AI employee"? How is it different from buying an AI tool?

An AI employee is an agent that holds a defined role in the org chart, with clear workflows and KPIs, working alongside people. The difference: a tool waits to be used; an AI employee delivers results against its job description — that is how AI technology becomes an organizational form, and where cost reduction starts.

How does AICOR help enterprises cut costs?

Start with a free 2-minute diagnosis to locate your AI maturity and the costs you can cut (usually starting from 20%), then deliver in three stages: AI workforce deployment — process reengineering — business reshaping. A diagnosis plan in 3 weeks, first financial results in 90 days, with financial metrics as the only acceptance standard.

What is your methodology?

Our proprietary AIX framework (four-dimension reconstruction: strategy / organization / process / data) × the FDE delivery system (an eight-step delivery engine with on-site engineers). Every framework is proven in AICOR's own organization before delivery — 80%+ reuse rate.

How do you charge, and how fast are results?

Triple pricing: one-time deployment fee by scope, monthly co-running retainer, and outcome-based settlement against financial metrics. Plan in 3 weeks, first financial results in 90 days — the timeline is written into the contract.