Our mission

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 PAI Standard

PAI certifications are built around eight domains of production AI competency. These domains apply regardless of which model, cloud provider, or programming language is in use. The discipline is the same whether you are deploying GPT-4o, Claude Sonnet, Llama 3.3, Qwen 2.5, or any future model.

01
LLM Fundamentals
Token limits, temperature, hallucination, structured output
02
RAG & Retrieval
Chunking, semantic search, reranking, context management
03
Guardrails & Safety
Prompt injection, output validation, content filtering
04
Compliance & PII
GDPR, EU AI Act, data minimisation, audit trails
05
Deployment Patterns
Canary release, model versioning, rollback, HITL
06
Observability
Eval-driven development, drift detection, logging
07
Agents & Agentic Systems
Tool calls, minimal footprint, irreversibility checks
08
Model Selection & Vendor Neutrality
Open models, lock-in mitigation, portability

Why independence matters

PAI credentials are issued by the Production AI Institute, not by any model vendor, cloud provider, or software company. This independence is foundational to the credential's credibility.

A holder's AIDA, CPAP, or CPAA credential remains valid regardless of which tools they use, which cloud they deploy on, or which AI model they choose. The credential certifies the practitioner's competency — not their vendor relationship.

PAI Studio is the workflow design platform associated with the Production AI Institute. It helps practitioners build and demonstrate the skills assessed in PAI certification. But PAI Studio is not required to hold a PAI credential — the Institute certifies practitioners from any background.

Governance

The PAI certification standard is maintained by a curriculum committee that reviews the question bank and competency domains on a six-month cycle. Updates reflect changes in the AI landscape — new model capabilities, emerging threats, evolving regulatory requirements.

CPAP and CPAA holders are invited to participate in the curriculum review process. The standard is practitioner-led, not vendor-led.

Practitioner input (no published roster yet)

Curriculum and assessments are shaped from production experience; CPAP/CPAA holders can join review cycles. Named advisory listings are published only when they are active and maintained.

Register interest in future advisory roles →

Contact

General enquiries: Contact form
Certification matters: Contact form
Enterprise programmes: Contact form
Future advisory / nominations: Contact form
Press: Contact form