AI consulting · solution delivery · operations · development · Order delivery
Consulting, delivery, support, and GEO growth across the full enterprise AI path
7-layer horizontal architecture + 2 vertical penetration layers, a progressive AI transformation path from data governance to autonomous intelligence
Security infrastructure throughout the entire architecture ensures that enterprise AI systems meet compliance requirements such as data security laws and personal information protection laws.
The highest level of the system realizes the Agent's completely autonomous decision-making and execution. Contains a smart flywheel mechanism of self-reflection, self-improvement and compound interest.
The eight professional agents at the core of SCM EAIC form a complete business closed loop:
The "brain" of the multi-Agent system is responsible for task decomposition, agent scheduling, context transfer and conflict arbitration.
The core engine of AI-assisted decision-making provides human-machine collaboration decision support before Autopilot becomes fully autonomous.
The "fuel layer" of the AI system converts enterprise raw data into structured knowledge that can be understood and used by agents.
A unified management layer for underlying AI capabilities, supporting multi-model routing, fine-tuning and safety guardrails.
The AOS architecture superimposes AI capabilities on the enterprise's existing IT infrastructure, eliminating the need to reinvent the wheel.
Full-chain monitoring of the operating status, performance indicators and cost-effectiveness of the Agent system.
Consulting, delivery, support, and GEO growth across the full enterprise AI path
Gain an in-depth understanding of your business status, team capabilities, and technical foundation, and identify the optimal entry point and prioritization for AI adoption.
Based on the diagnosis results, design a customized AI transformation plan, including product architecture, system design, PRD documents, and implementation plans.
Four delivery types cover the core needs of enterprise AI adoption:
Going online is not the end, we will acenterprise you through the path to implementation. Continue optimization, troubleshooting, and team training until the system is truly operational.
Understand the current situation of the business
Identifying AI opportunities
Customized solutions
Systems/Tools/Processes
Optimize until run-through
| Contrast Dimensions | traditional consulting firm | Outsourcing Development Enterprise | SCM EAIC |
|---|---|---|---|
| core deliverables | PPT plan report | code/system | Complete product solution (solution + system + process) |
| business understanding | Industry common framework | Technical implementation is the main focus | In-depth business diagnosis + scenario-based design |
| Implementation support | The solution ends when it is delivered | Development ends when it is completed | Acenterprise you throughout the entire process and be responsible for the deliverables |
| delivery speed | 3-6 months | 2-4 months | Elite AI native team, 3 times faster |
| Team mode | Large team + hierarchical management | project outsourcing team | Focused expert team + AI Agent collaboration |
We don’t sell consulting reports, we deliver working product systems. We are responsible for every deliverable and the process is transparent and traceable.
Lack of product planning capabilities, it is necessary to design a complete membership system from 0 to 1.
It needs to be comprehensively upgraded from business model to technical system, covering the entire link of training, franchising and membership.
It requires the simultaneous design of business model + product system, and the whole process of B-side ordering + C-side distribution + delivery.
It requires clear product positioning and commercialization path, as well as full-chain planning of content production + distribution + commercialization.
From customer acquisition to retention, from public channels to private domain, AI-Native architecture reconstructs the entire enterprise marketing link
Six modules · all-in-one intelligent marketing
Reconstruct the entire enterprise marketing link with AI-Native architecture, from GEO optimization to membership system, from distribution network to Agent community operation, to achieve precise data-driven growth.
PrivateAI 2.0 · private-domain AI marketing
Enterprise data asset base + AI private domain marketing + AI operation management integrated platform. three data libraries drive the automatic operation of the private Agent community. The group is the backend, and the discovery channel is the application ecosystem.
The AI-driven multi-platform matrix marketing operating system covers the entire chain of content production, account matrix, intelligent distribution, and data monitoring.
In an era of information overload, judging what is worth doing and what is not worth doing is the most scarce ability.
A good product is not just a collection of functions, but a deep understanding and expression of user experience and business value.
The essence of complex systems is human collaboration. AI cannot replace thinking, it can only amplify the quality of thinking.
Anthropic × Sequoia Capital × Ivan Zhao’s methodology, translated into our actual delivery methodology:
Product thinking that starts with the end in mind + AI-native execution efficiency + ultimate responsibility for deliverables
Every project is scoped by business complexity, delivery depth, team involvement, timeline, acceptance criteria, and shared growth targets.
Book a free AI diagnosis to understand your enterprise’s AI adoption path
Seven channels display our thinking, services, marketing, cases and tools in an all-round way
AI adoption methodology, transformation thinking, Agent evolution theory, self-evolution workflow, Context management specifications and Agent configuration manual
Six module marketing suite + Zhiyu PrivateAI 2.0 + MatrixForge matrix marketing
Full-chain enterprise AI consulting services from diagnosis to delivery
Real project cases and exploratory practical experience sharing
The new paradigm of content customer acquisition in the AI era, pay based on results
Self-developed AI tools, an efficiency multiplier for enterprise AI adoption
A gathering place for super individuals and one-person companies