Certification schemes are in development. Syllabi and examination standards will be published ahead of the first cohorts in October 2026.
Independent industry certification body · Est. 2026
The AI Assurance Council certifies the professionals who assess, test, and govern AI systems in regulated and critical industries — from financial services to industrial robotics. First cohorts open October 2026.
Curricula mapped to internationally recognized frameworks
Curriculum mapping indicates alignment of learning content with published frameworks. It does not constitute endorsement by, or certification under, any standards organization or regulator.
§ 1 — The credential
Each of these is a published commitment rather than an aspiration. Where the Council fails one of them, that is a defect you can raise under the appeals procedure.
§ 2 — Certification tracks
Three tracks are defined and open for their first cohorts in October 2026. Further tracks are on the scheme roadmap and have no published syllabus yet.
3 hours · valid 3 years
The baseline credential for professionals entering AI assurance: risk identification, testing concepts, governance frameworks, and evidence-based assessment across any industry.
3.5 hours · valid 3 years
For engineers and quality professionals deploying AI in robotics, manufacturing, and industrial automation, where system failures carry physical and operational consequences.
3.5 hours · valid 3 years
For risk, compliance, and audit professionals in regulated financial services, covering model risk, agentic AI oversight, and supervisory expectations for AI deployment.
Syllabus pending
Scope under development. Syllabus not yet published.
Syllabus pending
Scope under development. Syllabus not yet published.
Syllabus pending
Scope under development. Syllabus not yet published.
Syllabus pending
Scope under development. Syllabus not yet published.
Syllabus pending
Scope under development. Syllabus not yet published.
§ 3 — Rationale
Show an employer you can scope an assessment, weigh applicable requirements, and defend a conclusion — not that you have read a framework.
A shared competency baseline across risk, engineering, and audit functions, so an assurance finding means the same thing to everyone reading it.
Every credential is listed on a public register with a unique identifier. No employer has to take a claim on trust.
Credentials carry a validity period and require revalidation, because assurance practice is moving faster than a lifetime certificate could honestly reflect.
§ 4 — Scheme documents
The scheme is being published in draft so that practitioners and employers can challenge it before it binds anyone. Comments to hello@aiassurancecouncil.org.
The rules governing eligibility, examination conduct, credential validity, and revalidation.
Open for commentDomain definitions and performance criteria against which candidates are assessed.
Open for commentProfessional obligations attaching to a Council credential, and the grounds for withdrawal.
Drafting§ 5 — Governance
Certification decisions sit with standing committees, not with the operating company. Terms of reference are published; membership is being appointed ahead of the first cohort.
Read the governance structure →Owns the competency framework and curriculum mapping for every track.
Sets examination content, moderates pass standards, rules on appeals.
Administers the code of conduct and hears allegations of misuse.
§ 6 — For organizations
Organizations adopting AI at scale need a shared vocabulary of risk and a bench of people who can operate assurance processes. The Council works with employers on cohort certification through approved training partners.
§ 7 — Insights
Three terms used interchangeably that mean different things, have different outputs, and require different independence. A practitioner-level distinction.
One is a certifiable management system standard; the other is a voluntary risk framework. They are not alternatives, and choosing between them as if they were is the common mistake.
AI assurance is the practice of producing credible, independently reviewable evidence that an AI system works as intended. A working definition, and how it differs from governance and compliance.
§ 8 — Standards alignment
Launch updates
Syllabi, examination standards, and early-candidate information are announced to this list before anywhere else.
The signup list opens shortly. Until then, write to hello@aiassurancecouncil.org and you will be added by hand. No marketing noise, only certification announcements.