We exist because “Production Safe” needs to mean something.

Artificial intelligence is being deployed into business systems at a pace that far outstrips the industry's collective understanding of how to do it safely. Models hallucinate. Outputs go unvalidated. PII is sent to external APIs without consent. Systems are built with no rollback plan. Agents are given permissions they should never have.

This isn't a criticism of developers — it's a gap in the standards that exist. Every major cloud vendor offers AI certifications that teach their own platform. None of them teach the discipline of safe production AI deployment as an independent skill.

The Production AI Institute was founded to fill that gap. We define what production-safe AI deployment looks like, we certify the practitioners who do it, and we maintain the standard as the technology evolves.

The Production Safety Framework

The PSF is an open standard defining eight domains of production AI safety: Isolation & Permissions, Output Validation, Observability, Human-in-the-Loop, Deployment Architecture, Data Stewardship, Incident Response, and Model Lifecycle Management.

It is published under a Creative Commons licence (CC BY 4.0) — free to read, cite, and build on. Our certifications test mastery of the PSF as applied to real-world production scenarios.

Vendor independence

PAI does not accept sponsorship from AI vendors, cloud providers, or model developers. Our certifications are not endorsed by, affiliated with, or designed to favour any specific model, platform, or tool.

Certified practitioners learn to deploy AI safely regardless of whether they're working with GPT-4o, Claude, Llama, Gemini, Mistral, or any model that follows. That independence is the whole point.

What we certify

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