14 Terms

AI Glossary

Every enterprise AI term you need to know — defined clearly with practical context.

A D K M P R S U

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AI Readiness Check

Answer a few questions to see how ready your company is to adopt AI safely.

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A readiness level with the next actions worth taking.

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A

AI FinOps

Operational cost governance for AI usage, including budgeting, tracking, and optimization.

AI Governance

The policies, controls, and operating practices used to manage AI usage safely at scale.

AI Incident Response

A structured process for handling high-risk AI events and policy violations.

AI Risk

Potential negative outcomes from AI usage, including policy, privacy, financial, and operational impacts.

Audit Trails

Traceable records of AI activity, governance actions, and control events.

D

Department Budgets

Team-level spending controls used to manage AI usage across an organization.

K

Knowledge Grounding

Using approved internal context to improve response relevance in AI workflows.

M

Model Governance

Policies that control model availability and usage behavior by team and context.

P

Policy Guardrails

Control checks that evaluate AI inputs and outputs against organization policy.

R

Retention Controls

Configurable settings that define how long AI interaction data is stored and who can access it.

Retrieval-Augmented Generation (RAG)

A method where AI responses are informed by retrieved reference content.

Role-Based Access Control

An access model that grants permissions according to organizational role and responsibility.

S

Sensitive Data Protection

Controls that reduce accidental disclosure of confidential data in AI workflows.

U

Usage Analytics

Operational reporting on AI adoption, policy events, and spending trends.

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Employee AI Safety Checklist

Give employees a simple checklist for using AI without exposing company data or creating avoidable risk.

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A 1-page checklist for daily safe AI use.

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