Milestone 1: Documentation Foundation Structure

Created complete documentation structure with:
• Root README.md with repository overview
• Documentation directory structure (01-05 + templates)
• Migrated content from public repository
• New operational documentation
• Comprehensive templates for business workflows

Sections:
1. 01-business-strategy/ - Business vision, market analysis, financials
2. 02-technical-architecture/ - Infrastructure, AI agents, deployment
3. 03-operations/ - Client onboarding, support processes
4. 04-customer-portal/ - Placeholder for client-facing docs
5. 05-development/ - Placeholder for dev standards
6. templates/ - 5 reusable business templates

This commit establishes the foundation for the repository reorganization.
Content review will be conducted separately.

documentation/02-technical-architecture/aws-architecture/aws-cloud-infrastructure.md

@@ -0,0 +1,44 @@
+     1|# 05 - AWS Cloud Infrastructure — Home
+     2|**Purpose:** AWS architecture, networking, and cost optimization for AI workloads.
+     3|
+     4|## Overview
+     5|
+     6|This section covers our AWS cloud infrastructure setup for scalable AI services, including:
+     7|- VPC networking architecture
+     8|- EC2 instance optimization for GPU workloads
+     9|- S3 data pipeline automation
+    10|- Cost optimization strategies
+    11|
+    12|## Infrastructure Components
+    13|
+    14|### **AWS Architecture**
+    15|- **US-East-1 (N. Virginia):** Primary production environment
+    16|- **Multi-AZ deployment:** High availability for critical services
+    17|- **VPC networking:** Isolated subnets for compute, storage, and monitoring
+    18|
+    19|### **Compute Resources**
+    20|- **p4d.24xlarge:** A100-based instances for training
+    21|- **g5.xlarge:** A10 instances for inference
+    22|- **m5.large:** CPU-based instances for web services
+    23|- **Spot instances:** Cost savings for non-critical workloads
+    24|
+    25|### **Storage**
+    26|- **S3 buckets:** Model weights, datasets, backup archives
+    27|- **EBS volumes:** High-performance storage for active VMs
+    28|- **Glacier:** Cold storage for historical data
+    29|
+    30|## Cost Optimization
+    31|
+    32|- **Reserved Instances:** 1-3 year commitments for baseline workloads
+    33|- **Spot Instances:** 70% savings for fault-tolerant tasks
+    34|- **S3 Lifecycle Policies:** Automatic tiering to Glacier
+    35|- **CloudWatch Alarms:** Budget alerts and anomaly detection
+    36|
+    37|## Related Documents
+    38|
+    39|- **[Qwen3.5-MoE Setup](../02\ -\ TECHNICAL\ INFRASTRUCTURE/04\ -\ Qwen3.5\ Model\ Setup/)** — Model deployment strategies
+    40|
+    41|---
+    42|
+    43|*Our AWS infrastructure supports our SMB AI services and agent deployments with maximum efficiency.*
+    44|