Ниже — переписанная и более зрелая версия MATSIIS SYSTEM CANON v1, с учётом того, что мы обсудили:
- добавлена архитектура портфеля решений
- добавлена классификация инструментов
- добавлены домены бизнеса (включая Risk, ESG, Quality)
- уточнена роль AI и автоматизации
- структура стала более канонической и управленческой
Этот текст можно полностью заменить в файле:
docs/canon/system/matsiis-system-canon-v1.md
MATSIIS SYSTEM CANON v1
System: MATSIIS (Matsoff Integral Intelligent System) Type: System Canon Status: Canonical Document Version: v1.0
1. Purpose
This document defines the canonical model of the MATSIIS system.
MATSIIS is an integrated framework for:
- business management
- operational intelligence
- process automation
- financial analytics
- AI-supported decision making
MATSIIS is not a single application.
It is a system architecture for building a portfolio of digital tools, platforms, automation solutions and AI systems.
This document acts as the system-level source of truth for the MATSIIS ecosystem.
2. Mission of MATSIIS
The mission of MATSIIS is to create an intelligent environment where:
- business data is structured
- processes are transparent
- bottlenecks are identified
- routine operations are automated
- decisions are supported by analytics and AI
MATSIIS aims to function as an operating system for business management.
3. Core Principles
The MATSIIS system is based on the following principles.
3.1 System Thinking
Organizations are viewed as interconnected systems composed of functions such as:
- finance
- accounting
- operations
- sales
- HR
- management
- legal
- strategy
Changes in one function must be evaluated in terms of their system-wide impact.
3.2 Bottleneck Orientation
Improvement must focus on the constraint of the system.
Automation and optimization must begin with the bottleneck, not with technology for its own sake.
3.3 Economic Efficiency
Every initiative must be evaluated in terms of its economic impact:
- cost reduction
- time savings
- productivity increase
- cash flow improvement
- quality of decision making
3.4 Minimal Complexity
Solutions should prefer the simplest viable architecture.
Preferred implementation order:
- Google Workspace tools
- Apps Script automation
- No-code orchestration (Make / n8n)
- AI tools and agents
- deeper integrations and custom systems
3.5 Transparency
Every solution must clearly define:
- the problem
- the root cause
- the proposed solution
- expected economic effect
- potential risks
4. MATSIIS System Layers
MATSIIS is organized into several logical layers.
4.1 Governance Layer
Defines system governance:
- system canons
- portfolio structure
- architecture standards
- project lifecycle rules
- repository governance
This layer is managed through the repository:
matsiis-core
4.2 Platform Layer
Includes digital platforms such as:
- corporate websites
- product platforms
- service platforms
- education platforms
- multi-service ecosystems
Examples:
- Matsoff.com
- matsiis.com
4.3 Solution Layer
Includes individual digital products:
- applications
- tools
- automation solutions
- AI applications
These solutions address specific business problems.
4.4 Automation Layer
Includes systems for:
- workflow automation
- data processing automation
- operational process automation
- integration between systems
Typical technologies include:
- Apps Script
- Make
- n8n
- API integrations
4.5 AI Layer
The AI layer provides:
- analytical support
- anomaly detection
- decision support
- intelligent assistants
- AI-driven automation
AI in MATSIIS supports decision making but does not replace human responsibility.
5. Types of Solutions in MATSIIS
Solutions in the MATSIIS ecosystem are classified by solution type.
Canonical types include:
- Core
- Platform
- App
- Tool
- Automation
- AI App
- AI Agent
- Library
- Sandbox
- Archive
This classification is used to organize the product portfolio.
6. Business Domains
Solutions may belong to one or more business domains.
Canonical domains include:
Core Business Domains
- Finance
- Accounting
- Operations
- Sales
- HR
- Management
Governance and Control
- Risk
- Internal Control
- Quality
- ESG
Business Support
- Legal
- Procurement
- Logistics
- IT
Development and Growth
- Strategy
- Innovation
- Education
These domains define the functional focus of tools and applications.
7. Tool Categories
Tools in MATSIIS can also be classified by functional category.
Examples include:
- Calculator
- Analyzer
- Dashboard
- Planner
- Simulator
- AI Assistant
This classification helps organize large catalogs of digital tools.
8. Use Cases
Solutions may serve different use cases:
- Business
- Personal
- Education
Use case defines the target user context, not the functional domain.
Example:
| Tool | Domain | Use Case |
|---|---|---|
| Family Budget Tool | Finance | Personal |
| Cash Flow Analyzer | Finance | Business |
9. Role of AI in MATSIIS
AI within MATSIIS functions as:
- analytical assistant
- decision-support system
- automation enabler
- process intelligence layer
AI does not replace management decisions.
Human responsibility remains central.
10. Role of matsiis-core
The repository:
matsiis-core
acts as the governance and architecture center of the MATSIIS ecosystem.
It contains:
- system canons
- portfolio governance rules
- automation methodology
- architecture standards
- operational registries
It serves as the source of truth for the ecosystem architecture.
11. Source of Truth Rule
The MATSIIS ecosystem follows a strict rule:
Global governance and architecture must live in:
matsiis-core
Project-specific rules and architecture must live in:
individual project repositories
This separation ensures portfolio governance and scalability.
12. Canonical Objective
The objective of MATSIIS is to create a scalable ecosystem where:
- products are structured
- tools are catalogued
- automation is standardized
- AI is integrated responsibly
- governance remains transparent
MATSIIS is intended to support the development of a coherent ecosystem of digital business solutions.