ADPA - Advanced Document Processing & Automation Framework

> Previously known as Requirements Gathering Agent (RGA)

ADPA is a modular, standards-compliant enterprise automation framework for AI-powered document generation, project management, and business analysis. Built with TypeScript and Node.js, it provides both CLI and REST API interfaces for generating professional documentation following industry standards including BABOK v3, PMBOK 7th Edition, and DMBOK 2.0.

🚀 Key Features

Enterprise Standards Compliance

• 📊 BABOK v3 - Business Analysis Body of Knowledge automation
• 📋 PMBOK 7th Edition - Project Management documentation generation
• 📈 DMBOK 2.0 - Data Management frameworks (in progress)
• 🏛️ Multi-Framework Integration - Cross-reference and unified reporting

AI-Powered Generation

• 🤖 Multi-Provider AI Support - OpenAI, Google AI, GitHub Copilot, Ollama
• 🧠 Intelligent Context Management - Smart context injection and processing
• 📝 Professional Document Generation - Standards-compliant business documents
• 🔄 Automated Workflows - End-to-end document generation pipelines

Enterprise Integration

• 🌐 Production-Ready REST API - TypeSpec-generated OpenAPI specifications
• 📚 Confluence Integration - Direct publishing to Atlassian Confluence
• 📊 SharePoint Integration - Microsoft SharePoint document management
• � Adobe Document Services - Professional PDF generation and document intelligence
• �🔧 CLI & Web Interface - Multiple interaction modes

Compliance & Security

• 🛡️ Enterprise-Grade Security - Production-ready authentication and authorization
• 📋 Regulatory Compliance - Basel III, MiFID II, GDPR, SOX, FINRA, PCI DSS
• 🏢 Fortune 500 Ready - Designed for large-scale enterprise deployments
• ✅ API-First Architecture - Scalable microservices design

📦 Installation

NPM Package (Recommended)

npm install -g adpa-enterprise-framework-automation

From Source

git clone https://github.com/mdresch/requirements-gathering-agent.git
cd requirements-gathering-agent
npm install
npm run build

Docker (Coming Soon)

docker pull adpa/enterprise-framework:latest

🎯 Quick Start

1. CLI Usage

# Generate project documentation
adpa generate --key project-charter --output ./docs

# Start the API server
adpa-api

# Initialize Confluence integration
adpa confluence init

# Initialize SharePoint integration  
adpa sharepoint init

2. API Server

# Start the Express.js API server
npm run api:start

# Access API documentation
open https://localhost:3000/api-docs

3. Admin Web Interface

# Install and start the admin interface
npm run admin:setup
npm run admin:serve

# Access at https://localhost:3001

🛠️ Configuration

Environment Setup

1. Copy the environment template:

cp .env .env.local  # Create your local configuration

2. Configure your preferred AI provider:

Option 1: Google AI Studio (Recommended - Free Tier)

# Set the active provider
CURRENT_PROVIDER=google-ai

# Get your API key from: https://makersuite.google.com/app/apikey
GOOGLE_AI_API_KEY=your-google-ai-api-key-here
GOOGLE_AI_MODEL=gemini-1.5-flash

Option 2: GitHub AI (Free for GitHub Users)

# Set the active provider
CURRENT_PROVIDER=github-ai

# Get your token from: https://github.com/settings/tokens
GITHUB_TOKEN=your-github-personal-access-token
GITHUB_ENDPOINT=https://models.github.ai/inference/
REQUIREMENTS_AGENT_MODEL=gpt-4o-mini

Option 3: Azure OpenAI (Enterprise)

# Set the active provider
CURRENT_PROVIDER=azure-openai-key

# Configure Azure OpenAI
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
AZURE_OPENAI_API_KEY=your-azure-openai-api-key
AZURE_OPENAI_DEPLOYMENT_NAME=your-deployment-name
AZURE_OPENAI_API_VERSION=2024-02-15-preview

Option 4: Ollama (Local)

# Set the active provider
CURRENT_PROVIDER=ollama

# Configure Ollama (requires local installation)
OLLAMA_ENDPOINT=https://localhost:11434/api
OLLAMA_MODEL=deepseek-coder:latest

AI Provider Configuration

ADPA supports multiple AI providers with automatic failover:

• Google AI Studio - Free tier with generous limits (1M-2M tokens)
• GitHub AI - Free for GitHub users with gpt-4o-mini access
• Azure OpenAI - Enterprise-grade with Entra ID authentication
• Ollama - Local models for privacy-focused deployments

Provider Priority: The system will automatically fallback to available providers if the primary provider fails.

📚 Framework Support

BABOK v3 (Business Analysis)

✅ Production Ready

• Requirements Elicitation & Analysis
• Stakeholder Analysis & Management
• Business Analysis Planning
• Requirements Life Cycle Management
• Strategy Analysis
• Requirements Analysis & Design Definition
• Solution Evaluation: Evaluate implemented solutions for business value, performance, and alignment with stakeholder needs. Supports continuous improvement and benefit realization tracking.
• Underlying Competencies: Describes the foundational skills, behaviors, and knowledge areas required for effective business analysis, as defined by BABOK v3.
• Perspectives: Outlines the various perspectives (Agile, BI, IT, Business Architecture, BPM) and how to tailor business analysis practices for each context, as defined by BABOK v3.
• Enterprise Analysis
• Introduction Business Analysis Body of Knowledge: Provides an overview, checklist, and summary of all BABOK documents, including coverage gaps and improvement suggestions. This document is generated as the starting point for BABOK-based documentation in ADPA.

PMBOK 7th Edition (Project Management)

✅ Implemented <<<<<<< Updated upstream

• Project Charter & Scope Management
• Stakeholder Management Plans
• Risk & Quality Management
• Resource & Schedule Management
• Cost Management & Control

DMBOK 2.0 (Data Management)

✅ Production Ready

• Data Governance Frameworks (see data-governance-framework document type)
• Data Stewardship & Roles (see data-stewardship-roles-responsibilities document type)
• Data Modeling Standards (see data-modeling-standards document type)
• Data Quality Management (see data-quality-management-plan document type)
• Data Architecture & Quality
• Data Architecture & Modeling (see data-architecture-modeling-guide document type)
• Business Intelligence & Analytics Strategy (see business-intelligence-strategy document type)
• Master Data Management (see master-data-management-strategy document type)
• Metadata Management (see metadata-management-framework document type)
• Data Security & Privacy (see data-security-privacy-plan document type)
• Reference Data Management (see reference-data-management-plan document type)
• Data Storage & Operations (see data-storage-operations-handbook document type)
• Data Lifecycle Management (see data-lifecycle-management document type)

🏗️ Architecture

Core Components

ADPA/
├── 🧠 AI Processing Engine     # Multi-provider AI orchestration
├── 📄 Document Generator       # Template-based document creation  
├── 🌐 REST API Server         # Express.js with TypeSpec specs
├── 💻 CLI Interface           # Yargs-based command line tools
├── 🔌 Integration Layer       # Adobe, Confluence, SharePoint, VCS
├── 🎛️ Admin Interface        # Next.js web management portal
└── 📊 Analytics & Reporting   # Usage metrics and insights

Technology Stack

• Backend: Node.js 18+, TypeScript 5.7+, Express.js
• AI Integration: OpenAI, Google AI, GitHub Copilot, Ollama
• API: TypeSpec, OpenAPI 3.0, Swagger UI

Generate Data Modeling Standards Guide (DMBOK)

adpa generate --key data-modeling-standards --format markdown

• Frontend: Next.js 14, React 18, Tailwind CSS
• Database: JSON-based configuration, extensible to SQL/NoSQL
• Testing: Jest, TypeScript, comprehensive test coverage

📖 Usage Examples

Document Generation

# Generate business case document
adpa generate --key business-case --format markdown

# Generate complete project charter
adpa generate --category project-charter --output ./project-docs

# Generate stakeholder analysis
adpa generate --key stakeholder-analysis --format json



# Generate Solution Evaluation (BABOK)
adpa generate --key solution-evaluation --format markdown

# Generate Underlying Competencies (BABOK)
adpa generate --key underlying-competencies --format markdown

# Generate Perspectives (BABOK)
adpa generate --key perspectives --format markdown

# Generate Introduction Business Analysis Body of Knowledge (BABOK)
adpa generate --key introduction-business-analysis-body-of-knowledge --format markdown

# Generate Data Governance Framework (DMBOK)
adpa generate --key data-governance-framework --format markdown

# Generate Data Stewardship and Roles & Responsibilities (DMBOK)
adpa generate --key data-stewardship-roles-responsibilities --format markdown

# Generate Data Quality Management Plan (DMBOK)
adpa generate --key data-quality-management-plan --format markdown

# Generate Master Data Management Strategy (DMBOK)
adpa generate --key master-data-management-strategy --format markdown

# Generate Data Architecture & Modeling Guide (DMBOK)
adpa generate --key data-architecture-modeling-guide --format markdown

# Generate Metadata Management Framework (DMBOK)
adpa generate --key metadata-management-framework --format markdown

# Generate Data Security & Privacy Plan (DMBOK)
adpa generate --key data-security-privacy-plan --format markdown

# Generate Reference Data Management Plan (DMBOK)
adpa generate --key reference-data-management-plan --format markdown

# Generate Data Storage & Operations Handbook (DMBOK)
adpa generate --key data-storage-operations-handbook --format markdown

# Generate Data Lifecycle Management Policy (DMBOK)
adpa generate --key data-lifecycle-management --format markdown

# Generate Document & Content Management Framework (DMBOK)
adpa generate --key document-content-management --format markdown

# Generate Business Intelligence & Analytics Strategy (DMBOK)
adpa generate --key business-intelligence-strategy --format markdown

API Usage

// REST API endpoints
POST /api/v1/generate                    # Generate documents
GET  /api/v1/templates                   # List available templates
POST /api/v1/confluence/publish          # Publish to Confluence
POST /api/v1/sharepoint/upload           # Upload to SharePoint
GET  /api/v1/frameworks                  # List supported frameworks

Integration Examples

# Adobe Document Services integration
npm run adobe:setup                      # Configure Adobe credentials
npm run adobe:demo-generation           # Run document generation demo
npm run adobe:example-basic             # Basic PDF generation example

# Confluence integration
adpa confluence oauth2 login
adpa confluence publish --document ./docs/project-charter.md

# SharePoint integration  
adpa sharepoint oauth2 login
adpa sharepoint upload --folder "Project Documents" --file ./docs/

# Version control integration
adpa vcs commit --message "Generated project documentation"
adpa vcs push --remote origin

Portfolio/Program Stakeholder Analysis

Generate a stakeholder analysis at the portfolio or program level (multi-project, business unit, or enterprise-wide):

adpa generate --key portfolio-stakeholder-analysis --format markdown

This document provides a comprehensive analysis of stakeholders across multiple projects, programs, or business units, supporting portfolio management best practices.

🧪 Testing

# Run all tests
npm test

# Test specific providers
npm run test:azure
npm run test:github  
npm run test:ollama

# Performance testing
npm run test:performance

# Integration testing
npm run test:integration

🏢 Enterprise Features

Compliance Standards

• Financial: Basel III, MiFID II, FINRA, CFTC, FCA, BaFin
• Security: GDPR, SOX, PCI DSS, ISO 27001, ISO 9001
• Industry: Healthcare (HIPAA), Government (FedRAMP)

Enterprise Integration

• Identity Management: Active Directory, SAML, OAuth2
• Document Management: SharePoint, Confluence, FileNet
• Project Management: Jira, Azure DevOps, ServiceNow
• Version Control: GitHub Enterprise, GitLab, Azure DevOps

Scalability & Performance

• Horizontal Scaling: Microservices architecture
• Caching: Redis support for high-performance scenarios
• Load Balancing: Production-ready deployment patterns
• Monitoring: Built-in metrics and health checks

📁 Project Structure

requirements-gathering-agent/
├── 📂 src/                          # TypeScript source code
│   ├── 🎯 cli.ts                   # Main CLI entry point
│   ├── 🌐 server.ts                # Express.js API server
│   ├── 📄 modules/                 # Core modules
│   │   ├── ai/                     # AI provider integrations
│   │   ├── documentGenerator/      # Document generation engine
│   │   ├── confluence/             # Confluence integration
│   │   ├── sharepoint/             # SharePoint integration
│   │   └── documentTemplates/      # Framework templates
│   └── 🔧 commands/                # CLI command modules
├── 📂 admin-interface/             # Next.js admin portal
├── 📂 api-specs/                   # TypeSpec API specifications
├── 📂 docs/                        # Comprehensive documentation
├── 📂 test/                        # Test suites
├── 📂 generated-documents/         # Output directory
└── 📂 dist/                        # Compiled JavaScript

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

git clone https://github.com/mdresch/requirements-gathering-agent.git
cd requirements-gathering-agent
npm install
npm run dev         # Start development mode
npm run build       # Build for production
npm test           # Run tests

Code Standards

• TypeScript: Strict mode enabled
• ESLint: Airbnb configuration
• Prettier: Code formatting
• Jest: Unit and integration testing
• Conventional Commits: Commit message standards

📋 Roadmap

Q2 2025

• ✅ DMBOK 2.0 implementation 🔄 Docker containerization 🔄 Kubernetes deployment templates 🔄 Advanced analytics dashboard

Q3 2025

• 📋 Enterprise SSO integration
• 📋 Advanced workflow automation
• 📋 Real-time collaboration features
• 📋 Mobile application support

📞 Support & Documentation

• 📖 Full Documentation: GitHub Wiki
• 🎯 CLI Usage Documentation: Interactive Menu Navigation & Complete Usage Guide
• 🖥️ CLI Execution Guide: Complete CLI Usage Guide
• ⚡ CLI Quick Reference: Essential Commands & Examples
• 🐛 Issue Tracking: GitHub Issues
• 💬 Community: GitHub Discussions
• 📧 Enterprise Support: Contact Us

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Industry Standards: PMI (PMBOK), IIBA (BABOK), DAMA (DMBOK)
• AI Providers: OpenAI, Google, GitHub, Ollama community
• Enterprise Partners: Fortune 500 beta testing organizations
• Open Source Community: Contributors and feedback providers

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