Production-Ready AI Systems • Enterprise Architecture • Azure & Beyond
Your Complete Guide to Ram Maree's AI Architecture Ecosystem
🎯 Start Here • 📚 Knowledge Base • 🛠️ Toolkits • 💼 For Consultants
This is your central hub for navigating 55+ repositories of production-ready AI architecture, enterprise solutions, and consulting frameworks.
- 🎯 AI Consultants building $20k-$100k+ client projects
- 🏢 Enterprise Architects implementing production AI systems
- 💼 Solution Providers packaging AI offerings
- 🚀 Agencies delivering AI automation services
- 📚 Students & Learners mastering enterprise AI
- ✅ Complete Knowledge Base → 48 connected implementation repos
- ✅ Consulting Toolkits → Proposals, case studies, ROI calculators
- ✅ Production Patterns → Battle-tested architectures
- ✅ Azure Solutions → Enterprise reference implementations
- ✅ AI Frameworks → Three-Layer AI methodology
- ✅ Real Case Studies → 87% time reductions, 60% cost savings
Choose your path based on your goal:
Start → Enterprise Agent Toolkit
What you get:
- Ready-to-use proposals ($20k-$100k templates)
- Client case studies with metrics
- ROI calculators and assessment tools
- Implementation templates (chat agents, document processing)
- Deployment scripts (Azure-ready)
Timeline: First $20k+ client in 30-60 days
Start → Copilot Architect Knowledge Base
What you get:
- 48 implementation repositories
- Production patterns for Microsoft Copilot, Azure AI, Semantic Kernel
- Real-world case studies with metrics
- Architecture decision records (ADRs)
- Step-by-step implementation guides
Timeline: Master fundamentals in 4-6 weeks
Start → Azure Enterprise Solutions Architecture
What you get:
- Azure reference architectures
- Infrastructure-as-Code (Bicep/ARM)
- Security & governance templates
- Cost optimization patterns
- Production deployment playbooks
Timeline: Deploy first solution in 1-2 weeks
Start → Three-Layer AI Framework
What you get:
- Proprietary methodology
- Layer 1: Data Engineering
- Layer 2: Analytics & AI
- Layer 3: UX Automation (Agents)
- Production examples for each layer
Timeline: Understand framework in 1 week, implement in 4-8 weeks
|
Copilot Architect Knowledge Base ⭐ 3 Stars | 📦 48 Connected Repos The central source of truth for enterprise AI architecture. Every architectural pattern, use case, and code example is linked to working implementations. Key Sections:
|
Live Knowledge Base: Tech Stack:
Use Cases:
|
|
⭐ Production-Ready | 💰 $20k-$100k Templates Complete toolkit for landing and delivering AI consulting projects. Sales Materials:
Proposals & Contracts:
Implementation:
|
Engineering Excellence Playbook Cloud-agnostic consulting framework with platform-specific execution. ⚡ TypeScript | 🎯 AI Readiness Assessment Interactive tool to assess organizational AI maturity. Perfect lead magnet for consultants. Comprehensive guide to AI tools for consultants and architects. Quick Win Calculator: |
| Repository | Focus | Tech Stack | Status |
|---|---|---|---|
| Three-Layer AI Framework ⭐ | Proprietary methodology | Data → Analytics → UX Automation | ✅ Production |
| Agentic Data Platform | Self-healing data infrastructure | Python, Azure | ⭐ 2 Stars |
| Enterprise AI Analytics Platform | Production analytics with Three-Layer | Python, Azure | ⭐ 1 Star |
| Semantic Kernel Production Patterns | Microsoft Semantic Kernel patterns | Python, C# | ⭐ 1 Star |
| Repository | Focus | Status |
|---|---|---|
| Azure Enterprise Solutions Architecture | Azure Solutions Architect Expert showcase | ⭐ 2 Stars |
| Data Engineering Journey | Traditional → Modern → AI-Driven | ⭐ 1 Star |
| Copilot Center of Excellence | M365 Copilot transformation framework | ⭐ 1 Star |
| Repository | Focus | Tech Stack |
|---|---|---|
| LinkedIn Researcher | Multi-agent research platform | TypeScript, Claude SDK |
| Self-Improving Job Agent | Chrome DevTools MCP automation | JavaScript, Opus 4.5 |
| AI Engagement Features | Production UI components | TypeScript, React |
╔═══════════════════════════════════════════════════════════╗
║ ENTERPRISE AI PORTFOLIO STATS ║
╠═══════════════════════════════════════════════════════════╣
║ Total Repositories 55+ ║
║ Total Stars 20+ ║
║ Primary Language TypeScript (1.5MB in main) ║
║ Secondary Languages Python, Shell, PowerShell ║
║ Cloud Platforms Azure (primary), AWS, GCP ║
║ AI Frameworks Semantic Kernel, LangChain ║
║ Consulting Templates $20k-$300k range ║
║ Case Studies 4+ production deployments ║
║ Knowledge Base Articles 100+ sections ║
║ Connected Implementations 48 repositories ║
╚═══════════════════════════════════════════════════════════╝
# Clone key repositories
git clone https://github.com/maree217/enterprise-agent-toolkit.git
git clone https://github.com/maree217/copilot-architect-kb.git
git clone https://github.com/maree217/three-layer-ai-framework.git
# Build 3 portfolio projects
# 1. Chat agent using template #19-21
# 2. Document classifier using template #22-25
# 3. Custom automation for your nicheDeliverable: Portfolio website with 3 working demos
Choose Your Niche:
- Real estate agencies
- Law firms
- Healthcare providers
- Manufacturing
- E-commerce
Customize Templates:
- Update case studies with your experience
- Modify proposals for your niche
- Adjust ROI calculator with industry data
Content Creation:
- 5-10 LinkedIn posts about your projects
- 1 video demo of your solution
- 1 lead magnet (free AI audit template)
Deliverable: LinkedIn profile + 50 target prospects
Week 5: Warm-up
- Connect with 50 prospects on LinkedIn
- Engage with their content
- Share your portfolio
Week 6: Outreach
- Send personalized emails (template from #10)
- Offer free AI Readiness Assessment
- Book 5-10 discovery calls
Tools to Use:
- Discovery questionnaire (#17)
- ROI calculator (#18)
- Case studies (#01-03)
Deliverable: 5-10 qualified discovery calls
Discovery & Proposal:
- Run strategy workshop (template #10)
- Present relevant case study
- Show ROI calculation
- Send Level 1 proposal (#04)
Delivery:
- Use implementation templates (#19-25)
- Deploy to Azure (scripts included)
- Over-deliver on value
- Get testimonial
Scale:
- Client 1: $20k-$30k (Level 1)
- Client 2: $30k-$50k (confidence boost)
- Client 3: $50k-$80k (Level 2)
Deliverable: $10k/month recurring + growing pipeline
| Timeline | Milestone | Revenue |
|---|---|---|
| Week 2 | Portfolio complete | $0 |
| Week 4 | 50 prospects identified | $0 |
| Week 6 | 5-10 discovery calls | $0 |
| Week 8 | 1-2 proposals sent | $0 |
| Week 10 | First contract signed | $20k-$30k |
| Week 12 | Project delivered | $20k-$30k |
| Month 4-6 | 2-3 active clients | $5k-$10k/month |
| Month 12 | 4-6 clients + referrals | $10k-$30k/month |
# Deploy chat agent for internal support
cd enterprise-agent-toolkit
./21-template-chat-agent-deploy.sh
# Configure & test
export AZURE_OPENAI_ENDPOINT="your-endpoint"
export AZURE_OPENAI_KEY="your-key"
# Integrate with Teams/Slack
# Monitor with Application InsightsResult: 80% of tier-1 inquiries automated
# Deploy document classifier
./24-template-classifier-agent-deploy.sh
# Configure categories
vi 25-template-classifier-agent-categories.yaml
# Connect to existing systems
# - SharePoint for document intake
# - Power Automate for routing
# - ServiceNow for ticketingResult: 70% faster document processing
Follow the Three-Layer AI Framework:
Layer 1 (Month 1-2): Data Engineering
├─ Build data pipelines
├─ Implement quality checks
└─ Set up monitoring
Layer 2 (Month 3-4): Analytics & AI
├─ Train ML models
├─ Deploy predictive analytics
└─ Create dashboards
Layer 3 (Month 5-6): UX Automation
├─ Multi-agent orchestration
├─ Process automation
└─ Self-healing systems
Result: Organization-wide AI transformation
- Enterprise Agent Toolkit - AI consulting toolkit
- Copilot Architect KB ⭐ 3 - Knowledge base hub
- Three-Layer AI Framework ⭐ 1 - Architectural methodology
- Azure Enterprise Solutions ⭐ 2 - Azure reference architectures
- Agentic Data Platform ⭐ 2 - Self-healing infrastructure
- Enterprise AI Analytics ⭐ 1 - Production analytics
- Semantic Kernel Patterns ⭐ 1 - Microsoft SK patterns
- Data Engineering Journey ⭐ 1 - Traditional → AI course
- LinkedIn Researcher ⭐ 1 - Multi-agent research
- KB Implementation Examples ⭐ 1 - All 50+ code examples
| Repository | Description | Stars |
|---|---|---|
| Architecting AI Implementations | Enterprise patterns & best practices | ⭐ 1 |
| AI Tools & Platforms Guide | Comprehensive tool guide | - |
| Engineering Excellence Playbook | Cloud-agnostic framework | - |
| Maturity Assessor | AI readiness assessment tool | - |
| Copilot Center of Excellence | M365 transformation framework | ⭐ 1 |
| Repository | Description | Tech Stack |
|---|---|---|
| Azure Enterprise Solutions Architecture | Center of Excellence | PowerShell, Bicep |
| Azure AI Foundry Showcase | Azure AI Studio patterns | Python |
| Data Engineering Journey | Traditional → Modern → AI | HTML, Python |
| Repository | Description | Tech Stack |
|---|---|---|
| Self-Improving Job Agent | Chrome DevTools MCP automation | JavaScript, Opus 4.5 |
| LinkedIn Researcher | Multi-agent research platform | TypeScript, Claude SDK |
| Self-Learning Browser Automation | Adaptive browser agents | JavaScript |
| Repository | Description | Status |
|---|---|---|
| Agentic Data Platform | Self-healing data infrastructure | ⭐ 2 |
| Enterprise AI Analytics Platform | Production analytics | ⭐ 1 |
| Strategic Forecasting AI | Predictive models | - |
| Repository | Description | Status |
|---|---|---|
| BA GenAI Transformation Course | 5-week program for BAs | Live |
| Training Materials | Various training resources | - |
| Repository | Description | Tech Stack |
|---|---|---|
| Prototype Landing Page | Latest prototype | TypeScript |
| Humanoid AI Website | Project documentation | - |
- Start with your goal (paths above)
- Clone the relevant repo
- Follow the README
- Deploy and customize
- Begin with Copilot Architect KB
- Read architecture patterns
- Study case studies
- Implement examples
- Reference as you build
- Clone Enterprise Agent Toolkit
- Customize proposals for your niche
- Use ROI calculator in sales
- Deploy templates for clients
- Build case studies for portfolio
"87% reduction in time spent on compliance Q&A using RAG architecture from the Knowledge Base"
— Enterprise Knowledge Management Implementation
"45% faster repair processing with multi-agent workflow automation"
— Process Orchestration Case Study
"Landed my first $25k project using the Enterprise Agent Toolkit templates. Now at $80k MRR with 4 active clients."
— AI Consultant Success Story
Ram Maree - Enterprise AI Architect
Certifications:
- Microsoft Azure Solutions Architect Expert
- TOGAF 9.2 Certified
- PRINCE2 Practitioner
- Certified Business Analysis Professional (CBAP®)
Bio: Enterprise AI Architect | Azure Solutions Expert | Creator of Three-Layer AI Framework | Helping organizations build production-ready AI systems
All repositories are MIT licensed unless otherwise specified. Free for commercial use. Attribution appreciated but not required.
This portfolio represents 2+ years of production AI implementation experience across:
- Financial Services
- Healthcare
- Manufacturing
- Public Sector
- E-commerce
Built on the shoulders of giants:
- Microsoft Azure AI Team
- Semantic Kernel Community
- LangChain/LangGraph Contributors
- AutoGen Framework Developers
- Open-Source AI Community
- ✅ Portfolio hub created
- ✅ 55+ repositories organized
- ✅ Knowledge Base live
- 🚧 Add 20+ code examples
- 🚧 Create video walkthroughs
- 📅 Launch consulting accelerator program
- 📅 Publish LinkedIn article series
- 📅 Open-source additional templates
- 📅 Community contribution guidelines
- 📅 500+ stars across repositories
- 📅 100+ consulting projects delivered (community)
- 📅 10+ active contributors
- 📅 Monetization through courses/consulting
- ⭐ Star this repo to bookmark the portfolio
- 🔔 Watch for updates (new repos added monthly)
- 🍴 Fork repositories you want to customize
- 📣 Share with your network
- 🤝 Connect on LinkedIn
🎯 Choose Your Path & Start Building Today
🚀 AI Consulting • 📚 Learning • 🏢 Azure • 🤖 Agents
Built with ❤️ by Enterprise AI Architects for the AI Community
Last Updated: November 2025 | Maintained by @maree217