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GAAIGlobal Association of AI
GAAI AI Standards Framework™

GAAI-300

Professional AI Competency

GAAI-300 establishes professional competency expectations for individuals applying, implementing and responsibly managing AI within business and organizational environments.

Purpose

What This Standard Establishes

Professionals should be able to move beyond knowing how AI works toward understanding how AI can be responsibly applied to real organizational challenges.

  • AI implementation
  • AI strategy
  • Business applications
  • Generative AI
  • AI agents
  • Data and knowledge
  • AI governance
  • AI risk
  • Responsible AI
  • Security awareness
  • Workforce adoption
  • Business value
Core areas

Core Areas of Competency

The standard is organized into defined areas so that learning, preparation and assessment can be aligned consistently.

AI Implementation

Plan and deliver AI capability within operational environments.

AI Strategy

Align AI initiatives with organizational objectives and constraints.

Business Value

Identify where AI creates measurable value — and where it does not.

Generative AI & Agents

Apply generative and agent-based systems responsibly at work.

AI Governance

Work within governance structures, policies and accountability lines.

AI Risk

Identify, assess and escalate AI-related risks appropriately.

Security Awareness

Recognize security and data-protection considerations in AI use.

Workforce Adoption

Support colleagues in adopting AI capably and responsibly.

Intended audience

Who This Standard Is For

Working professionals
Managers
AI practitioners
Consultants
Business leaders
Transformation professionals

Candidates enter the framework at the level appropriate to them. Progression through every standard is not required.

Demonstrate This Competency

Standards define what capability means. Certification is how it is demonstrated and verified.

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