Chapter 8 · Group 3: Design the Technical Foundation
Evaluate the ten layers required to run AI at enterprise scale.
Examine the complete environment surrounding the model, not just the model itself.
Score your maturity across all 10 layers of the AI architecture stack. This tool applies the framework from Chapter 8 of The Enterprise AI Blueprint by W. Perry Underdown and returns a directional, structured read — not an audit finding.
Approximately 12 minutes · Results saved to your workspace · Free to start
The ten layers
- User experience
- Identity and access
- Orchestration
- Models and AI services
- Retrieval and enterprise knowledge
- Data
- Applications and integrations
- Workflow and human approval
- Security and governance
- Evaluation and observability
Output: An architecture maturity profile showing missing, immature, and established layers.
What the assessment covers
Section 1
Experience layer
The interface through which users interact with AI.
Section 2
Identity and access layer
Ensures AI systems respect enterprise identity and permission boundaries.
Section 3
Orchestration layer
Coordinates multiple AI steps or agents.
Section 4
Model and AI-services layer
The underlying models and AI services powering solutions.
Section 5
Retrieval and knowledge layer
Supplies AI with accurate, current enterprise knowledge.
Section 6
Data layer
The governed data foundation feeding AI systems.
Section 7
Application and integration layer
Connects AI to the business systems that run the enterprise.
Section 8
Workflow and human-control layer
Embeds human review and approval into the workflow itself.
Section 9
Security, privacy, and governance layer
Applies consistent security and compliance review to AI.
Section 10
Observability and evaluation layer
Provides visibility into what AI is doing and how well it performs.
Continue the journey
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