Enterprise AI Concepts Driving Trust, Context, and Governed Execution

A

• Assessing the Quality of AI Decisions Before and After Execution

B

C

• Corruption of Decision Quality Through Information Noise

• Complete Ancestry of Every AI Decision

D

• Decay of Decision-Relevant Information Over Time

E

• Enterprise's Self-Description for AI Agents

F

• Failure to Correctly Interpret Available Information

G

• Governed Pathway from Decision to Action

• Governance Through Structural Constraint Rather Than Trust

• Graduated Authority for AI Agents Based on Demonstrated Performance

H

I

• Irreducible Role of Human Judgment in AI-Assisted Decisions

J

K

L

• Loss of Institutional Memory Across AI Decisions

M

• Measurable Criteria for AI Authority Progression

N

• Networked Structure of Organizational Decisions

O

• Operating System for Enterprise AI Decisions

P

Q

R

S

• Structured Assembly of Decision-Relevant Information

• Space Between AI Capability and Enterprise Deployment

• Structured Repository of Organizational Knowledge

T

U

V

W

X

Y

Z