AI Glossary
AI Approval Process
An AI Approval Process is the structured workflow of governance, risk, security, and compliance reviews required before an AI system is deployed.
AI Approval Process
Overview
Before an AI system is deployed, organizations often require formal review and approval.
This structured workflow is known as the AI Approval Process.
An AI Approval Process is the series of governance, risk, security, compliance, and business reviews that an AI system must complete before it can be deployed or significantly updated.
The approval process helps ensure AI systems meet organizational standards before affecting customers, employees, or business operations.
An approval process may include:
- Risk assessments
- Security reviews
- Fairness testing
- Documentation reviews
- Governance approvals
- Executive sign-off
A helpful way to think about an AI approval process is obtaining a building permit.
Construction cannot begin until inspectors confirm the plans meet required standards.
Organizations apply a similar approach before deploying AI.
The AI approval process supports AI Governance, AI Risk Management, and AI Assurance.
Why It Matters
Formal approval processes reduce risk, improve accountability, and ensure AI systems are reviewed before entering production.
Real-World Example
Before launching an AI-powered customer support assistant, an organization completes security testing, fairness reviews, executive approval, and governance documentation before authorizing deployment.
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