Layer 1 Front Door (Intake and Approval)

The entry point where all AI projects begin their journey. Think of it as the reception desk that greets, evaluates, and directs new AI initiatives through the proper channels.
i

Power Apps

Request Interface

i

Power Automate

Workflow Engine

i

Risk Assessment Logic

+ Environment Strategy

i

Digital Passport Issuance

Access Certification

Layer 2 Registry (Source of Truth)

The central database that knows everything about every AI project. Like a library catalog that tracks all books, their locations, and who can access them.
i

Dataverse

Business Registry

i

Agent 365

Technical Registry

i

Federation Engine

Sync and Discovery

i

Data Classification

Mapping

Layer 3 Guardrails (Policy and Enforcement)

The security guards and rulebook enforcers. They make sure every AI project follows the rules and can shut things down if something goes wrong.
i

Purview DSPM

for AI

i

MDCA

Cloud App Security

i

Entra ID

Identity Management

i

Kill Switch

Emergency Control

i

Exceptions Workflow

Deviation Handling

i

Quality Gates

Validation Checkpoints

Layer 4 Operations (Edge and Observability)

The monitoring station and operations center. It watches everything happening in real-time and connects AI systems to the tools teams already use.
i

Azure Monitor

Real-time Monitoring

i

APIM Self-Hosted Gateway

API Management

i

Sovereign Sanitizer Pattern

Data Protection

i

Flight Control SDK

Operational Control

i

ITSM Integration

Service Management

Layer 5 FinOps (ROI and Cost)

The finance department for AI. It tracks costs, measures business value, and makes sure every AI project is worth the investment.
i

Azure Cost Management

Financial Tracking

i

Power BI

Analytics Dashboard

i

Value Realization Engine

Anti-Gaming + Confidence

i

ROI Dashboard + Chargeback

Cost Accountability