Version 1.0 · Technology-neutral · Official specification
AI4EA — Artificial Intelligence for Enterprise Adoption
and for Enterprise Architects
AI4EA gives enterprises a structured path from strategic intent to governed, scaled and measurable AI capability — without prescribing a single model, vendor, cloud or tool.
Align. Architect. Govern. Scale. Measure.
Five questions every enterprise faces
Align
Why and where should the enterprise adopt AI?
Architect
How should AI capabilities be designed?
Govern
How should AI be controlled and assured?
Scale
How can successful AI solutions become sustainable enterprise capabilities?
Measure
Is AI producing sustainable enterprise value?
Structure
Seven adoption layers
Each layer answers a distinct question and produces distinct decisions. Together they form a coherent path from business strategy to realized value.
Strategic Governance & Vision
Align AI with business strategy, enterprise architecture and responsible innovation.
AI Opportunity & Use Case Portfolio
Identify, assess and prioritize high-value AI use cases.
AI4EA Readiness Model
Ensure the enterprise is ready to adopt and scale AI.
The Core Engine — 4 Pillars
Architect, deliver and govern AI solutions at enterprise scale.
Federated Operating Model
Balance central platform capabilities with domain-specific execution.
Phase-Gated Execution
Start focused, deliver value early, and scale with confidence.
Enterprise Value & ROI
Measurable outcomes for a more efficient, innovative and resilient enterprise.
Layer 4
The AI4EA Core Engine
Four architectural pillars determine whether AI can be built, operated, governed and sustained in the enterprise.
Pillar 1
AI Sourcing & Model Strategy
Determines how the required AI capability should be obtained and which model strategy best satisfies business and architecture requirements. Approaches may include build, buy, consume, configure, RAG and fine-tuning.
Pillar 2
Data & Knowledge Architecture
Transforms enterprise information into trusted and reusable knowledge for AI systems. The objective is to provide the right information with appropriate context, quality, authorization, provenance and governance.
Pillar 3
AI Integration & Orchestration
Determines how models, agents, tools, applications, workflows, users, data and enterprise systems interact. Agent architectures should explicitly define autonomy boundaries and human approval requirements.
Pillar 4
Governance, Security & Economics
Establishes the controls, assurance and economics of enterprise AI: security and privacy, responsible AI, compliance, evaluation, observability and cost management across the full architecture.
Start where you are
The specification
Fifteen sections covering strategy, portfolio, readiness, the Core Engine, operating model, execution and value.
Read the frameworkPrioritize use cases
Score candidates with the weighted Use Case Priority Score and place them on the value–feasibility grid.
Open UCPS calculatorTest conformance
Ten statements that establish whether an initiative has made and governed the required decisions.
Open checklistArchitect AI. Enable People. Create Value.
AI4EA v1.0 — a living framework, refined through enterprise practice.