AIRPP is an open-source initiative that brings provenance, accountability, and auditability to AI-assisted records — so trust travels with your work.
Why AIRPP
Open standard that works across tools, models and platforms. No lock-in.
Built for accountability with verifiable provenance and tamper-evident records.
Places human judgement at the centre of trustworthy AI-assisted work.
Structured, interoperable, and future-proof by design (JSON-LD).
Who it's for
Create, review, and share AI-assisted records with confidence and clarity.
Integrate AIRPP to deliver verifiable, interoperable experiences.
Certify, build, and grow a trusted ecosystem together.
Meet compliance and governance needs with portable provenance.
How adoption works
Certified partners and adopted users help drive an open, interoperable future for AI-assisted records.
View the RegistryAIRPP is a community-led, open-source initiative. Your support funds development, tooling, and accessibility for all.
Public Registry
Certified partners and adopted users building trusted AI-record workflows with AIRPP.
Technical Specification
Frozen for implementation testing. Open, vendor-neutral, machine-readable provenance for AI-assisted records.
AIRPP (AI Record Provenance Protocol) is an open, vendor-neutral protocol that defines how to attach structured provenance metadata to AI-assisted records. It specifies who created a record, which AI systems were involved, which sources were used, what human reviews took place, and how the integrity of the record can be verified.
AIRPP is designed to be minimal, composable and interoperable. The core schema captures the provenance chain of a record without mandating a particular AI system, workflow tool, or delivery mechanism. Extensions allow domain-specific enrichment without breaking core conformance.
AIRPP v0.2.0 is a frozen public draft. The schema is stable for implementation testing. Extensions are in draft status. The registry is open for self-registration.
Ecosystem
AIRPP brings vendors and partners together around an open, vendor-neutral protocol for verifiable provenance, auditability and trust across tools and platforms.
Be discoverable in the public AIRPP registry and signal your commitment to trust.
Implement to the open standard and prove verifiable provenance of AI outputs.
Enable end-to-end traceability, easier audits, and stronger risk management.
Exchange provenance across tools, services and ecosystems without vendor lock-in.
Awarded to organisations that implement AIRPP to the required standard and pass conformance validation.
Awarded to organisations that have successfully integrated AIRPP and are actively using the protocol.
Join our pilot cohort to influence the standard, get early access, and grow with the ecosystem.
Adopt the protocol. Integrate it into your tools and services. Partner with the initiative. Or support our mission to make AI-record provenance open, interoperable, and trusted.
Individuals and teams using AI-assisted records
Developers and organisations building AI tools
Consultancies, labs, and integrators
Researchers, non-profits, mission-aligned supporters
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Share a few details about yourself or your organisation.
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Access tools, docs and community channels for your role.
Integrate, collaborate, and help shape trusted AI records.
Support
Everything you need to implement, integrate, and contribute to AIRPP.
Full AIRPP v0.2.0 public draft specification, schema reference, and conformance guide.
Step-by-step implementation guides for vendors, quick-start for developers, and integration walkthroughs.
Join the open-source community. Contribute to the standard, raise issues, and collaborate on GitHub.
Full REST API for manifest validation, implementation registration, and MCP-style provenance capture.
Answers to common questions about AIRPP, its relationship to other standards, and how to get started.
For partnership enquiries, press, or governance questions, reach the core AIRPP team directly.