The Complete Toolkit for AI Consultants & Enterprise Architects
🚀 Quick Start • 📚 Documentation • 💼 Use Cases • 🎯 For Consultants
The Enterprise Agent Toolkit is a production-ready collection of templates, case studies, and implementation guides for AI consultants and enterprise architects building real-world AI agent solutions.
Perfect for:
- 🎯 AI consultants closing $20k-$100k+ projects
- 🏢 Enterprise architects implementing production AI systems
- 💼 Solution providers packaging AI offerings
- 🚀 Agencies building AI automation services
What you get:
- ✅ Production-ready agent templates (chat, document processing, multi-agent)
- ✅ Client-ready case studies and proposals
- ✅ ROI calculators and assessment tools
- ✅ Implementation playbooks
- ✅ Deployment scripts (Azure-ready)
- ✅ Executive presentation decks
- Big consulting firms charge $500k+ for AI implementations
- Generic AI tools don't fit enterprise needs
- Internal teams lack AI expertise
- Failed pilots and proof-of-concepts waste millions
AI Implementation as a Service - Rapid deployments that build internal capabilities:
- 💰 Affordable: $20k-$100k vs $500k+ from Big 4
- ⚡ Fast: Working agents in weeks, not years
- 🎓 Knowledge Transfer: Train internal teams while implementing
- 📈 Scalable: Start small (Level 1), scale to transformation (Level 3)
- ✅ 80% cost reduction vs traditional consulting
- ✅ 3-6 month payback period
- ✅ Production-ready agents, not just POCs
- ✅ Internal teams empowered to maintain and extend
-
01 - Financial Services: Loan Processing Automation
- 70% faster loan approvals
- 95% accuracy in document classification
- $2M annual savings
-
02 - Healthcare: Patient Care Orchestration
- 40% reduction in coordination time
- 98% patient satisfaction
- Multi-agent care coordination
-
03 - Manufacturing: Smart Factory Ecosystem
- 30% production efficiency increase
- Real-time quality monitoring
- Predictive maintenance agents
- 14 - Executive Vision: AI as Organism 🎨
- 15 - Technical Possibilities & Scope 🎨
- 16 - Implementation Gallery (Level 1-3) 🎨
- 17 - Vision Discovery Questionnaire 📋
- 18 - Interactive ROI Calculator 💰
Ready-to-use POML templates for client engagements:
-
04 - Level 1 Quick Wins Proposal
- 4-6 weeks, $15k-$30k
- Single agent deployment
- Immediate ROI
-
05 - Level 2 Analytics Enhancement Proposal
- 8-12 weeks, $40k-$80k
- Multi-agent coordination
- Data pipeline integration
-
06 - Level 3 Transformation Proposal
- 3-6 months, $100k-$300k
- Full ecosystem deployment
- Organization-wide impact
-
07 - Pilot Engagement Contract Template
- Legal framework
- IP & liability clauses
- Success metrics
Chat Agent (Level 1)
Document Classifier (Level 2)
- 22 - Architecture Documentation
- 23 - Python Implementation
- 24 - Azure Deployment Script
- 25 - Category Configuration
- 11 - RAG Chatbot (Microsoft Copilot Pattern)
- 12 - Multi-Agent Banking System
- 13 - Data Mining Agent (Level 2)
Located in ai-engagement-features/:
- Microsoft Components: Production-grade UI components
- Pattern Matcher: Intelligent pattern recognition
- Streaming Components: Real-time data processing
- Multi-Agent Platform: Orchestration framework
- AI Advisor Bot: Self-service guidance system
-
- Cost comparison tables
- Speed to value analysis
- Risk mitigation strategies
-
- CTO-level workshop framework
- Discovery session templates
- Prioritization matrices
Land Your First $20k-$50k Project in 30 Days:
# 1. Clone this toolkit
git clone https://github.com/maree217/enterprise-agent-toolkit.git
cd enterprise-agent-toolkit
# 2. Customize for your prospect
# - Edit case studies (01-03) with your experience
# - Customize proposals (04-07) with their pain points
# - Update ROI calculator (18) with their numbers
# 3. Present & Close
# - Use executive presentation (14) for C-suite
# - Use technical presentation (15) for architects
# - Send proposal (04-06) based on their maturity
# 4. Deliver
# - Use implementation templates (19-25)
# - Deploy with Azure scripts (21, 24)
# - Report results using case study formatImplement Your First Agent in One Week:
# 1. Choose your starting point
# Level 1 (Quick Win): Chat agent for internal support
# Level 2 (Enhancement): Document processing automation
# Level 3 (Transformation): Multi-agent ecosystem
# 2. Deploy to Azure
cd enterprise-agent-toolkit
./21-template-chat-agent-deploy.sh # For chat agent
# OR
./24-template-classifier-agent-deploy.sh # For document classifier
# 3. Configure & Test
# - Update environment variables
# - Test with sample data
# - Integrate with existing systems
# 4. Scale & Monitor
# - Add monitoring dashboards
# - Collect user feedback
# - Plan Level 2/3 expansionCustomer Support Automation
- Chatbot handling 80% of tier-1 inquiries
- 24/7 availability
- Instant knowledge base access
- ROI: 3-4 months
Document Classification
- Auto-categorize incoming documents
- Route to appropriate teams
- Extract key metadata
- ROI: 2-3 months
Multi-Agent Data Pipeline
- Data extraction agents
- Validation & quality agents
- Analysis & reporting agents
- ROI: 4-6 months
Process Orchestration
- Workflow automation across departments
- Exception handling
- Real-time monitoring
- ROI: 5-7 months
AI-Powered Operations Center
- 10+ specialized agents
- Cross-functional orchestration
- Predictive analytics
- Self-healing capabilities
- ROI: 12-18 months
🤖 AI Implementation as a Service
I help mid-market companies (100-5000 employees) implement
production-ready AI agents that deliver measurable ROI in 90 days.
✅ What You Get:
• Working AI agents (not just POCs)
• Full source code & documentation
• Azure deployment scripts
• Team training & knowledge transfer
• 90-day support
💰 Pricing:
• Level 1 Quick Wins: $15k-$30k (4-6 weeks)
• Level 2 Enhancement: $40k-$80k (8-12 weeks)
• Level 3 Transformation: $100k-$300k (3-6 months)
🎯 Guarantee:
If we don't deliver a working agent that meets acceptance
criteria, you don't pay.
📅 Book a Strategy Session: [Your Calendar Link]
Week 1-2: Prospecting
- Identify 50 target companies
- Research their AI pain points
- Connect on LinkedIn
Week 3-4: Outreach
- Send personalized emails (use template from #10)
- Offer free AI Readiness Assessment
- Book discovery calls
Week 5-6: Discovery & Proposal
- Run strategy workshop (template #10)
- Show ROI calculator (#18)
- Present relevant case study (#01-03)
- Send proposal (#04-06)
Week 7-8: Close & Deliver
- Negotiate & sign contract (#07)
- Kick off Level 1 implementation
- Deploy using templates (#19-25)
Expected Results:
- 20-30% response rate
- 5-10 discovery calls
- 1-2 signed contracts
- $20k-$100k in new revenue
┌─────────────────────────────────────────────────┐
│ Layer 3: UX Automation │
│ (Agent Orchestration, Multi-Agent Workflows) │
├─────────────────────────────────────────────────┤
│ Layer 2: Analytics & AI │
│ (Machine Learning, Predictive Models) │
├─────────────────────────────────────────────────┤
│ Layer 1: Data Engineering │
│ (Pipelines, Quality, Storage, Processing) │
└─────────────────────────────────────────────────┘
Start at Layer 1 → Grow to Layer 3
- Languages: TypeScript, Python, Shell
- Frameworks: Semantic Kernel, LangChain
- Cloud: Azure (OpenAI, Functions, Storage, Monitor)
- AI Models: GPT-4, Claude, Azure OpenAI
- Deployment: Docker, Azure Container Apps
- Monitoring: Application Insights, Log Analytics
- Implementation Guide - Step-by-step deployment
- Architecture Decisions - Design patterns
- API Reference - Integration guides
- Troubleshooting - Common issues
- FAQ - Frequently asked questions
We welcome contributions! Whether you're:
- 🐛 Fixing bugs
- ✨ Adding new templates
- 📚 Improving documentation
- 💡 Sharing case studies
See CONTRIBUTING.md for guidelines.
"We went from 6-month backlog to production agents in 4 weeks. The templates saved us months of trial and error." — CTO, Mid-market SaaS Company
"Used the Level 1 template to land my first $25k consulting project. Now at $80k MRR with 4 active clients." — Independent AI Consultant
"The ROI calculator alone helped us secure $150k in funding for our AI initiative." — VP of Engineering, Healthcare Startup
MIT License - See LICENSE for details.
Free for commercial use. Attribution appreciated but not required.
Part of the Enterprise AI Architecture ecosystem:
- Copilot Architect Knowledge Base - Production AI patterns
- Azure Enterprise Solutions - Azure reference architectures
- Three-Layer AI Framework - Architectural methodology
- ⭐ Star this repo to bookmark it
- 🔔 Watch for updates - new templates added monthly
- 🍴 Fork & customize for your consulting practice
- 📣 Share with your AI architect network
- 🤝 Contribute your own templates and case studies