The Production AI Institute maintains the Production Safety Framework — the independent, vendor-neutral benchmark for deploying AI systems safely and responsibly in production environments.
Three interconnected functions — standard-setting, assessment, and research — that reinforce one another.
The Production Safety Framework (PSF) defines what it means to deploy AI safely in production — covering eight domains from data governance to incident response. Published openly. Referenced freely.
Read the PSF →PAI credentials verify that a practitioner or organisation meets the PSF standard. Assessments are independent, rigorous, and held to the same standard regardless of which vendor's tools you use.
View certifications →PAI publishes original research on production AI safety: incident patterns, framework evolution, and guidance on emerging regulatory requirements including the EU AI Act.
View research →The PSF defines eight domains of practice that a production AI deployment must address. It is model-agnostic and cloud-agnostic — it applies whether you run GPT-4o on Azure, Claude on AWS Bedrock, or a self-hosted Llama instance.
The framework is published openly and free to reference, cite, and adapt. Version 1.0 was published in 2024.
Each credential builds on the last. Start with AIDA to establish foundational knowledge. Progress through CPAP and CPAA as your practical experience deepens.
Demonstrates foundational knowledge of the PSF across all eight domains. The baseline credential for any practitioner working with AI in production.
Requires evidence of a real production deployment meeting PSF criteria. Reviewed by a PAI assessor. The credential employers specify when they want assurance, not just knowledge.
The most rigorous individual PAI credential. Portfolio review followed by a structured interview with a panel of practitioners. Fewer than 500 holders globally.
The Certified AI Integrator (CAI) designation recognises consultancies and MSPs whose teams hold PAI credentials and whose delivery methodology meets the PSF standard. CAI status signals to procurement teams that an organisation's AI practice is independently verified.
The Certified AI Enterprise (CAE) designation is the equivalent for large organisations deploying AI internally at scale.
Explore organisational certification →For consultancies and MSPs. Requires minimum AIDA holders on staff and reviewed client deliverables.
For enterprises deploying AI internally. Framework compliance audit plus ongoing governance review.
PAI accepts no sponsorship from AI model vendors, cloud providers, or platform companies. The Production Safety Framework is developed by practitioners for practitioners, and reviewed through an open comment process.
This independence is the foundation of the credential's value. An employer specifying PAI certification knows the standard was not written by a vendor with a platform to sell.
A visual canvas tool used by PAI-certified practitioners to map, document, and export production AI workflow architectures.
Practitioners preparing for CPAP use WorkflowOS Studio to build and document portfolio evidence — the deployed workflows that assessors review.
Export packages include YAML specifications, integration documentation, and executive flow views.
WorkflowOS Studio is the design environment used by PAI practitioners. Practitioners consistently report that mapping their process architecture in Studio accelerates their readiness for CPAP review.
The AIDA examination takes 15–20 minutes and is offered at no charge. It covers all eight PSF domains and is the baseline credential for any practitioner working with AI in production.