Overview & Principles

4

• What is EA 2.0?
• AI-Augmented Enterprise Architecture
• Core Components & Architecture Layers
• Governance Model & Operating Principles

Data Sourcing & Integration

8

• Complete Data Source Inventory
• Integration Patterns (Cloud, COTS, On-Prem)
• Performance-Safe Data Collection
• Coverage Assurance & Ghost-App Discovery
• Finance & Procurement Feed Strategy
• ETL / ELT Pipeline Design
• Living Master System Index (MSI)
• Data Sourcing Risk Playbook

Reasoning & Intelligence Layer

5

• Natural-Language Query (NLQ) Design
• Predictive Insights Engine
• Autonomous Optimisation
• Policies, Triggers & Thresholds
• Model Governance & AI Trust Fabric

Outbound Actions & Governance

4

• Outbound Connectors
• ServiceNow GRC Integration
• Native Azure Enforcement
• Audit & Feedback Loop

Data Quality, Lineage & Ontology

4

• Canonical Ontology & Schema
• Data Quality Metrics & Gates
• Lineage Capture & Provenance Rules
• Vocabulary & Taxonomy Governance

Platform Implementation

5

• EA 2.0 on Azure (Reference Deployment)
• Integration Middleware Setup
• Integration Middleware Setup
• Graph Database Configuration
• Cost Management & Scaling

Governance, Roles & Operations

5

• Roles & Responsibilities
• Stewardship Workflows
• Compliance & Audit Automation
• KPIs & Maturity Metrics
• Operating Model for Continuous Improvement

Reference Assets & Visual Library

4

• Architecture Diagrams (HTML / SVG)
• Sample Queries & Dashboards
• Templates & Checklists
• Glossary & Acronyms

Implementation Playbooks

4

• Generic EA 2.0 Implementation Playbook
• Quick-Start Pilot Guide
• Corporate / Hybrid Reference Implementation
• Cloud / Sovereign Environment Variant

FAQ & Troubleshooting

1

• FAQ & Troubleshooting