For organizations
Certify a team against one standard
A single certified champion does not give an organization assurance capability. Cohort certification builds a bench of people who read risk the same way and produce evidence in the same form.
- Reference
- AIAC/ORG/2026/01
- Issue
- 1.0
- Effective
- 9 August 2026
- Next review
- August 2027
- Status
- Enquiries open
§ 1 — The problem
Why individual certification is not enough
Most organizations begin with one person who understands AI risk. That person becomes a bottleneck, then a single point of failure, and their judgements are difficult for anyone else to check — which defeats the purpose of assurance.
Certifying a cohort changes the unit of capability from a person to a function. Assessments become comparable across teams, findings become reviewable by peers, and the organization stops depending on one individual's memory of what was decided and why.
§ 2 — Process
How cohort certification works
- 01
Competency mapping
The Council maps your existing roles and risk taxonomy against the published competency framework, identifying which tracks apply to which functions.
- 02
Cohort formation
Candidates are grouped into a cohort with a single administrative contact, a shared examination window, and an agreed preparation schedule.
- 03
Preparation
Delivered by approved training partners. The Council does not sell preparation for its own examinations — that separation is a scheme principle, not a policy preference.
- 04
Assessment
Scenario-based examination administered by the Council. Results are determined by the Examination Board, which has no commercial relationship with the training partner.
- 05
Register and reporting
Successful candidates receive a publicly verifiable credential. The administrative contact receives a cohort report suitable for L&D and compliance records.
§ 3 — Track selection
Which track applies to which function
| Track | Typical functions |
|---|---|
| Certified AI Assurance PractitionerAIAC-01 | Risk, audit, compliance, data science, and engineering professionals taking on AI assurance responsibilities for the first time. |
| AI Risk & Quality — Industrial SystemsAIAC-02 | Quality engineers, controls and automation engineers, functional safety practitioners, and operations leaders introducing AI into physical systems. |
| AI Assurance for Financial InstitutionsAIAC-03 | Second- and third-line professionals in banks, insurers, and asset managers: model risk, operational risk, compliance, and internal audit. |
§ 4 — Enquiries
Register cohort interest
Cohort places for the October 2026 examinations are allocated in order of enquiry. Registering interest carries no charge and no commitment.
hello@aiassurancecouncil.org