The Condition of AI in the Enterprise
AI Wellness is an EII exploratory concept describing the condition in which AI capabilities are operating within acceptable boundaries of purpose, performance, trust, security, resilience, human authority, accountability, data integrity, governance, adaptability, and mission alignment.
AI Wellness is broader than model accuracy. It concerns whether AI improves or degrades the overall health of the enterprise — not merely whether the model performs well in isolation.
AI Wellness Dimensions
- • Purpose
- • Performance
- • Trust
- • Security
- • Resilience
- • Human authority
- • Accountability
- • Data integrity
- • Governance
- • Adaptability
- • Mission alignment
AI Wellness Plan
An AI Wellness Plan is a structured improvement plan resulting from assessment. It includes observed condition, material findings, evidence, affected systems, professional interpretation, recommended intervention, responsible owner, decision authority, expected outcome, measurement method, review date, residual condition, and management acceptance.
AI Wellness Plan Components
- • Observed condition
- • Material findings
- • Evidence
- • Affected enterprise systems
- • Business consequences
- • Professional interpretation
- • Priority
- • Recommended intervention
- • Responsible owner
- • Decision authority
- • Expected outcome
- • Measurement method
- • Review date
- • Residual condition
- • Management acceptance
Not a Regulatory Artifact
The AI Wellness Plan is not automatically a regulatory artifact. It is an EII exploratory concept for structured improvement.
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