Get Certified

Two paths.
One Blue Ribbon standard of trust.

Ethicality certifies the full lifecycle of AI in society — from the labs that build it to the organisations that put it in front of customers. Whether you make AI or rely on it, there is a path here for you.

One mark · Two tracks

Track A · For AI companies

AIMSS Certification

Audited against AIMSS · v1.0

Who it's for: Organisations that build, train, or operate AI systems.

A full management-system certification against the AI Management System Standard (AIMSS). One Blue Ribbon, scoped to your organisation's scale, systems, and risk.

Typical applicants

  • Foundation-model labs
  • Healthcare AI vendors
  • Autonomous-systems providers
  • AI-native SaaS platforms

The assessment process

  1. 01Application & assessor review
  2. 02Scoping call & engagement letter
  3. 03Documentation review (Stage 1)
  4. 04On-site assessment (Stage 2)
  5. 05Ethics & Safety Culture review
  6. 06Decision & ribbon issued

Track B · For businesses using AI

Ethical Use Certification

Audited against Ethical Use · v1.0

Who it's for: Organisations that procure or deploy AI tools they did not build.

A certification of how your organisation buys, deploys, discloses, and oversees the AI it uses. The Ethical Use mark proves to your clients, regulators, and staff that the AI you rely on is used responsibly.

Typical applicants

  • Law firms using AI research tools
  • Healthcare clinics with AI triage
  • Retailers using AI personalisation
  • Schools, banks, agencies, governments

The assessment process

  1. 01Application & assessor review
  2. 02AI-tool inventory & vendor verification
  3. 03Internal-policy & disclosure review
  4. 04Workforce-impact attestation
  5. 05On-site assessment where in scope
  6. 06Decision & mark issued

What we examine

One comprehensive scope, scoped to your organisation.

Every Ethicality certification covers the full AIMSS surface. The depth of examination, sampling intensity, and surveillance cadence are scoped to your organisation's scale, systems, and risk profile — confirmed in the engagement letter after your scoping call.

Scope

Governance, AI inventory, data controls, lifecycle documentation, ethics review, transparency, security, resilience, user recourse, environmental sustainability, labour safeguards, supplier oversight, accessibility, systemic risk, and market conduct.

Examination

Document review, staff interviews across engineering and operations, on-site evidence walkthroughs, sample testing of live systems, contractor and supplier sampling where in scope, and an Ethics & Safety Culture review.

Surveillance

Continuous assurance during the certification period: scheduled and unannounced surveillance visits, complaints-register monitoring, right of access, and a recertification examination at cycle end.

Public commitments

Every certified organisation publishes an AI register summary, governance policy, risk-assessment methodology, public complaints register, and an annual incident, bias, and safety summary.

Not sure which path?

A quick rule of thumb.

Choose AIMSS if…

You train your own models, fine-tune them on your own data, or own the system that produces the AI output your customers see. AIMSS audits how that system is built and run.

Choose Ethical Use if…

You buy AI tools from someone else and embed them into how you serve clients, students, patients, or staff. Ethical Use audits how you select, govern, and disclose that AI inside your organisation.

Some organisations qualify for both. If you build AI and use third-party AI internally, you can hold both marks on the public registry.

Independent

Audits performed by Ethicality-accredited assessors with no commercial relationship to the applicant.

Continuous

Every certificate is monitored — surveillance visits, complaints registers, and right of unannounced access.

Public

Every active certificate, certification report, and revocation appears in the same public registry.