Solomonoff induction: maximum info, minimum words. Video first, concise value prop
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| 1 | # Moqui MCP (Model Context Protocol) Implementation | 1 | # Moqui MCP: AI in the Corporate Cockpit |
| 2 | 2 | ||
| 3 | ## 🎭 **The Agentic Theater: AI in the Corporate Cockpit** | 3 | ## 🎥 **SEE IT WORK** |
| 4 | 4 | ||
| 5 | **Every object you see today passed through an inventory management system.** ERP systems are the invisible glue that holds our world together - from the coffee you drank to the phone you're holding. | 5 | [](https://www.youtube.com/watch?v=Tauucda-NV4) |
| 6 | |||
| 7 | **AI agents running real business operations.** | ||
| 6 | 8 | ||
| 7 | **Moqui MCP puts AI directly in the cockpit of global commerce.** | 9 | --- |
| 8 | 10 | ||
| 9 | This isn't just another AI interface. This is the foundation for **agentic theater** where AI assistants inhabit classical corporate roles - sales representatives, purchasing managers, HR directors, financial analysts - operating within the grounded reality of financial systems and classical capitalist structures. | 11 | ## What It Is |
| 10 | 12 | ||
| 11 | ### 🌍 **Why This Matters** | 13 | Moqui MCP puts AI directly into ERP systems - the software that runs every company on Earth. AI agents can now inhabit real corporate roles: purchasing, sales, HR, finance. |
| 12 | 14 | ||
| 13 | - **Real-World Grounding**: Every action has financial consequences, inventory impacts, supply chain ripple effects | 15 | **Every product you touch passed through an inventory system. Now AI can touch it back.** |
| 14 | - **Corporate Role Simulation**: AI can actually *be* a purchasing agent, not just pretend to be one | ||
| 15 | - **Economic Reality**: Decisions are validated against real inventory, actual financial constraints, genuine business rules | ||
| 16 | - **Supply Chain Intelligence**: AI sees the entire flow of goods from factory to consumer | ||
| 17 | - **Financial Accountability**: Every recommendation can be traced to P&L impact | ||
| 18 | 16 | ||
| 19 | ### 🚀 **The Promise: Agentic Ecosystem** | 17 | ## Why It Matters |
| 20 | 18 | ||
| 21 | Imagine AI agents that: | 19 | - **Real consequences**: Every action hits actual financials, inventory, supply chains |
| 22 | - **Negotiate supplier contracts** with real-time inventory visibility | 20 | - **Real accountability**: P&L impact, compliance enforcement, audit trails |
| 23 | - **Optimize pricing** based on actual demand and supply constraints | 21 | - **Real operations**: Not simulations - live business processes |
| 24 | - **Manage workforce planning** with real financial modeling | 22 | - **Real scale**: From corner stores to global supply chains |
| 25 | - **Coordinate global logistics** across multiple facilities | ||
| 26 | - **Analyze market trends** against actual sales data | ||
| 27 | - **Automate compliance** through enforced business rules | ||
| 28 | 23 | ||
| 29 | This is the infrastructure for **ECA (Event Condition Action)** and **SECA (State Event Condition Action)** systems that can autonomously manage complex business operations. | 24 | This is the foundation for autonomous business operations (ECA/SECA systems). |
| 30 | 25 | ||
| 31 | --- | 26 | --- |
| 32 | 27 | ||
| 33 | **⚠️ WARNING: WITH GREAT POWER COMES GREAT RESPONSIBILITY ⚠️** | 28 | **⚠️ REQUIRES CONTAINERS & SECURITY ⚠️** |
| 34 | 29 | ||
| 35 | ## 🚨 SECURITY WARNING 🚨 | 30 | ## 🚨 SECURITY WARNING 🚨 |
| 36 | 31 | ... | ... |
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