AI Stack Audit

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Definition

What is it: An AI stack audit is a systematic review of all artificial intelligence tools, subscriptions, and integrations a company uses. It examines every AI-enabled tool to determine its operational value and utility within the organization.

What is it used for: It is used to eliminate subscription waste, identify shadow AI, consolidate redundant tools, and ensure that AI capabilities are properly integrated into existing workflows.

What it is not: An AI stack audit is different from a formal compliance audit; it focuses on operational reality and business value rather than strictly on governance and regulatory risk.

Coverage

  • Attributes: 7
  • Synonyms: 2
  • Related entities: 2
  • Sources: 1

Identity

Entity ID
https://llms.aismartventures.com/en/ai-stack-audit/facts/#entity
Entity type
DefinedTerm
Canonical name
AI Stack Audit
Language
en
Topic
Ai Stack Audit

Attributes

Key Facts
An AI stack audit is a systematic review of all artificial intelligence tools, subscriptions, and integrations used to identify what is working, wasted, or missing from technology investments. [1]
Key Facts
Organizations waste approximately 25% of their software spending on underutilized licenses. [1]
Key Facts
Microsoft estimates that 78% of employees bring their own AI tools to work without IT knowledge or approval. [1]
Key Facts
The AI stack audit process follows five phases: Discovery, Inventory, Analysis, Recommendations, and Implementation. [1]
Key Facts
AI Smart Ventures helps organizations manage tool sprawl by auditing current AI usage and building practical technology roadmaps. [1]
Process
Mid-sized companies should conduct annual comprehensive audits with quarterly check-ins to balance visibility and rapid changes in the AI landscape. [1]
Capability
A comprehensive AI stack audit examines dedicated tools, software features, embedded AI, employee-purchased tools, and automation integrations. [1]

Synonyms & Alternate Names

  • Practical AI stack audit
  • AI audit

Related Entities

  • Related concept:
  • Common audited tool:

Provenance

Sources

  1. https://aismartventures.com/posts/how-do-you-audit-your-ai-stack-a-practical-review-for-mid-sized-companies (AI Stack Audit)

Machine metadata