1.

Problem Complexity

2.

Stakeholder Concerns Management

3.

Well defined Taxonomy (Domain, Business, Technology)

4.

Performance Indicators / Measures and Metrics relating to AI

5.

AI Architecture Governance

6.

AI Strategy Models showing Strategic Business Initiatives that contribute to Enterprise Goals and Objectives, Products and Services impacted by AI and the Business Processes that support them etc.,   

7.

AI Process Models showing Business Processes that are impacted by AI vs the Process Operational Objectives, Business Processes vs the Applications that support them etc.,

8.

AI System / Application Models showing Logical Models of Applications impacted by AI vs Application Design / Performance Objectives, Applications vs Logical Data, Applications vs User Roles etc.,

9.

AI Technology / Infrastructure Models showing Technology Strategy, Application Components related to AI vs QoS, Application Components vs Infrastructure components, Data Components etc.,  

10.

AI Implementation Models showing Physical Application vs Physical Network, Storage, Server components, Security Architecture, Physical Database Design etc.,

11

AI Operational Models showing actual instances of Business Operations using AI vs the Operational Data they consume/update, actual locations, performance metrics etc.,