Understand the Process · Architecture · Benefits
at a Glance — M-EIP Detailed Page
Instead, it layers semantic (meaning-based) URIs and AI agents on top to simultaneously orchestrate security · marketing · operations · regulatory compliance — a meta enterprise OS.
M-EIP in One Sentence & Core Components
M-EIP connects ERP (operations) and CRM (customers) via semantic URIs and contextual MCP,
enabling AI-driven automatic execution of tasks, marketing, and policies across organizations, regions, and partners.
Data is structurally designed to be “invisible” using LiveCubic DID + fragmentation, significantly reducing insider and hacking risks.
Agentic AI
Finance · Marketing · ESG · Policy · Supply Chain agents perform tasks based on goals.
MCP (Context)
Standardizes and shares enterprise · region · event · education · ESG · health contexts.
Policy / Rule
Incentives · contracts · regulations · policies are automatically executed via rule engine (Compliance by Design).
Connectors
Connects ERP / CRM / POS / PG / eCommerce / external APIs via connectors.
M-EIP Implementation Process (Real-world Execution Flow)
Current State Diagnosis & Goal Definition
Inputs Current status of ERP/CRM/POS/PG/eCommerce, data flows, regulatory/security requirements
Output Finalized goals/KPIs/scope: “Which KPIs will be improved through which automation?”
Semantic URI Design
Standardizes customers · stores · products · orders · payments · events · rewards · ESG indicators, etc. into “semantic addresses (URIs)”.
Example /store/… /person/… /tx/… /event/…
LiveCubic DID & Data Protection Design
Customer data is fragmented and stored distributedly; decryption keys are designed to be held by the customer (DID owner).
Even if operators · employees · contractors access the system, the actual “content” remains invisible.
MCP (Context) Construction
Binds enterprise/region/event/ESG/education/health contexts into standard schemas so AI can understand and share them.
Key point Shares “meaning/context” rather than raw “data”.
Agentic AI Task Automation Deployment
Deploys marketing · finance · policy · ESG · supply chain agents and connects goal-based flows.
Example) Increase repeat visits → create segment → apply reward rule → execute campaign → auto-generate performance report
Connector Integration & PoC → Production Transition
Integrates ERP/CRM/POS/PG/eCommerce step-by-step and promotes PoC-validated workflows to production.
Principle “Augment & connect” rather than “replace” to minimize cost/risk.
Architecture — At a Glance
M-EIP Top-Layer → Semantic URI → Modules → Data Asset
[M-EIP | META ENTERPRISE OS] • Agentic AI: Finance / Marketing / ESG / SupplyChain / Policy Agents • MCP(Context): Enterprise · Region · Event · ESG · Education · Health • Policy/Rule Engine: Incentive · Contract · Regulation · Policy Automation • Global Connector: ERP / CRM / POS / Payment / eCommerce / Web3 APIs | v [SEMANTIC AI URI LAYER] area / building / store / person / event / reward / tx / university / esg / health | v [MODULES (examples)] LocalCubic | City Portal | BuildingCubic | MICECUBIC | MetaCubic | RewardCubic | Fone2Web | v [SECURITY & SOVEREIGNTY] LiveCubic DID + Fragmentation + Consent + Signature (Operator cannot read raw data) | v [LOCAL DATA ASSET] Consumption · Mobility · Participation · Learning · ESG · Health · Reward Data (URI + DID)
Role of the URI Layer
Unifies disparate company-specific codes/tables into “semantic addresses” so data can be easily connected, searched, and automated.
Value of MCP (Context)
Allows AI to make consistent contextual judgments, enabling orchestration of tasks across departments/affiliates/partners in the “same language”.
Policy/Rule Engine
Automatically executes reward · regulatory · contract conditions via code/rules, reducing operational errors and structuring compliance.
Security Architecture — Not “Protection” but “Invisibility”
LiveCubic DID: Customer Data Sovereignty
The customer DID owns the keys; companies/operators can “store” original data but are designed unable to “decrypt” it.
Consent-based restrictions on purpose/duration/scope are possible.
- Reduces insider (employee/operator) leakage risk
- Data becomes “meaningless” even in case of breach
- Immediate access termination upon consent withdrawal
Data Fragmentation
Customer information is split into multiple pieces and stored distributed across different servers/storages.
Even obtaining a single system does not allow reconstruction of the whole.
Customer DID ├ Fragment A → Server IP #1 ├ Fragment B → Server IP #2 ├ Fragment C → Server IP #3 └ Fragment D → Server IP #4 Operator/Admin: can store fragments But cannot decrypt without customer key
Fone2Web: Secure Extension for CRM Link Delivery
ERP · CRM · POS · Payment · eCommerce Integration Approach
Keep Existing Systems
Connects SAP/Oracle/various CRM·POS·PG without “replacement” using connectors.
Event-driven Flow
When transactions/visits/reservations/shipments occur, rules·rewards·campaigns execute automatically.
Semantic Standardization
Maps each system’s fields to URI/MCP for “same meaning” connection.
AI-driven Continuous Optimization
AI continuously improves segments/rewards/channels, accumulating performance gains.
Representative Orchestration Example
[POS Purchase Event] tx/2026/01/… → MCP: context=store,region,customerSegment → Policy Engine: if repeat_visit>=3 then reward=Voucher → RewardCubic: issue voucher (bound to DID consent) → CRM: add to "High Return Segment" → Marketing Agent: send trusted link via Fone2Web → ERP: reconcile settlement / inventory / accounting
Implementation Benefits (Outcome) — What Companies Gain
Marketing Perspective
Conventional DB/phone-number-based push
M-EIP Full marketing combining region·relationship·behavior·reward options (customer enters via participation)
Security / Regulatory Perspective
Conventional Central DB visible to operators/employees
M-EIP DID-based data sovereignty + fragmentation → “invisible” structure (Compliance by Design)
M-EIP Implementation Consultation / Demo Request
While keeping your current ERP·CRM·POS·PG systems, phased adoption via “connect & augment” with M-EIP is possible.
We propose a roadmap that simultaneously improves security, compliance, and marketing.