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Illustrative figures for a company that does not exist. Every number is computed the way it would be for a real organization, and nobody is named.

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Round

Showing Q4 2026 (open)

Illustrative: a fabricated round in the demonstration organization.

AIFluency.ai, The AI Fluency CompanyAI Fluency Measurement

AI Fluency evidence pack

OrganizationNorthstar Mutual
Generated2026-10-16 09:00:34 UTC
RoundQ4 2026 (open)
Illustrative: a fabricated round in the demonstration organization.
Period coveredSeptember 26, 2026 to October 11, 2026
Instrument15-question assessment
Instrument versionA-45c1a0a54b, A-85ec4ebafc
Scoring key versionR-4a1fe38fbc, R-71d9dd5f85
Version noteThese results were produced by more than one version of the instrument. Figures pooled across them average different items, and any movement claim spanning the change has to say so.
Population basisRegistered people in this organization's account. Department headcount labels are free text and are not used as a denominator.

Scope of this document. This document records measurement results and identifies the framework areas that those results are relevant to. It does not assess or assert compliance with any law, regulation, bulletin or framework, it does not state that any of them require this or any product, and it is not legal advice. Determining what any framework requires of this organization is a matter for its own counsel.

The instrument behind these figures. The item counts, the full scoring key, the banding rule, item review status and the properties not yet established are set out in AI Fluency Rubric: Instrument and Evidence, v0.3. These scores are not a credential and were not validated for use in selection, promotion, compensation or termination decisions.

1 Workforce coverage

What this records. Which registered people have been assessed, and when.

Registered people67
Assessed at least once2
Not yet assessed65
Coverage of registered people2 of 67 registered · 3.0%
Coverage of the workforceNot established. This organization has not recorded a total headcount that can be used as a denominator, so no share of the workforce is claimed here. Registration is the only population this document can count.

These figures are from Q4 2026, which opened on September 26, 2026 and is still open. They are a position as at October 16, 2026: the 2 people with a result in it, out of 67 registered today. Anyone in the organization can still be assessed in this round, so the figures will change until it closes.

Who has taken part is listed by name and department in the appendix, with the date each was last assessed. No individual’s results appear in this document: every figure is over a group of 5 or more.

Results are shown only for groups of five or more, to protect individual privacy. Fewer than 5 people in this organization have been assessed, so no organization-level result is shown.

Framework area this speaks to

EU AI Act, Article 4

AI literacy obligation for providers and deployers. Applies from 2 February 2025; national market surveillance from 2 August 2026. The Act sets no fine specific to Article 4; Member States set the penalties for breaches of the Act (Article 99(1)).

This area concerns what the Act calls the AI literacy of the people an organization has using AI systems. The coverage and AI Fluency results above describe that population and what was measured.

2 Governance competency

What this records. Measured Governance scores across the assessed population.

Governance, organization mean— of 4
All five dimensions, mean— of 4

Governance measures whether people keep AI use inside policy, privacy and risk boundaries. Scores are 1 to 4 and are the mean of each person’s most recent result.

Framework area this speaks to

NIST AI Risk Management Framework, Govern function

Voluntary framework.

The Govern function concerns workforce competency and accountability. The Governance dimension scores above are a measure of one competency within that area.

3 Too little data to call this round either way

What this records. Measured dimension means across the assessed population, and the training focus: the two dimensions furthest below Applied when any group is under level 3.

Awareness, mean— of 4
Instruction, mean— of 4
Verification, mean— of 4
Governance, mean— of 4
Integration, mean— of 4

Too little data to call this round either way. 2 people have been assessed in this round, and results are reported only for groups of five or more.

Framework area this speaks to

US Department of Labor AI Literacy Framework, TEN 07-25

Issued February 2026. Explicitly voluntary guidance.

This area concerns what the framework calls AI literacy across a workforce. The dimension-level AI Fluency results above address it, including the ability to check AI output before relying on it.

4 Coverage and results by department

What this records. Assessment coverage per department, with Governance and Verification means.

DepartmentAssessedCoverage of registeredGovernanceVerification
Claims0 of 110%——
Customer Ops1 of 1010%——
Finance0 of 70%——
Leadership0 of 60%——
Legal & Risk0 of 60%——
Product & Tech1 of 1010%——
Sales & Broker0 of 80%——
Underwriting0 of 90%——

A dash means the department’s results are withheld. Results are shown only for groups of five or more, to protect individual privacy. A department can also be withheld when showing it would let a smaller one be worked out from the totals. Withheld departments are included in the organization figures.

Framework area this speaks to

NAIC Model Bulletin on the Use of Artificial Intelligence Systems by Insurers

Concerns written AI Systems Program documentation. Adopted by 24 states as of March 2025.

This area concerns written documentation of an insurer's AI Systems Program. This document is a dated written record of one input to such a program: measured workforce AI Fluency.

5 Results by round

What this records. Each measurement round up to and including this one, oldest first, and the organization mean from each person's latest result within it.

RoundKindAssessed in roundMean of five
Q1 2026Illustrative532.3
Q2 2026Illustrative562.4
Q3 2026Illustrative652.6
Q4 2026Illustrative2—

No change since the previous round is stated. Q4 2026 has fewer than 5 responses, so the two are not compared.

A dash means the round is under the privacy floor. Results are shown only for groups of five or more, to protect individual privacy. Kinds: Reconstructed is the round made from results taken before rounds existed; Illustrative is fabricated demonstration data; Test is internal test data.

Framework area this speaks to

Colorado Division of Insurance, Regulation 10-1-1

Compliance report due July 1, 2026 and annually thereafter.

This area concerns an annual reporting cadence. The round-over-round figures above are recorded on a repeating basis and are dated so an earlier state can be reconstructed.

Appendix: participation

67 registered people, whether each has completed the assessment in Q4 2026, and the date of that result. No results are listed for any person.

NameDepartmentStatusLast assessed
Person 01ClaimsNot yet—
Person 02ClaimsNot yet—
Person 03ClaimsNot yet—
Person 04ClaimsNot yet—
Person 05ClaimsNot yet—
Person 06ClaimsNot yet—
Person 07ClaimsNot yet—
Person 08ClaimsNot yet—
Person 09ClaimsNot yet—
Person 10ClaimsNot yet—
Person 11ClaimsNot yet—
Person 12Customer OpsNot yet—
Person 13Customer OpsNot yet—
Person 14Customer OpsCompleted2026-10-11
Person 15Customer OpsNot yet—
Person 16Customer OpsNot yet—
Person 17Customer OpsNot yet—
Person 18Customer OpsNot yet—
Person 19Customer OpsNot yet—
Person 20Customer OpsNot yet—
Person 21Customer OpsNot yet—
Person 22FinanceNot yet—
Person 23FinanceNot yet—
Person 24FinanceNot yet—
Person 25FinanceNot yet—
Person 26FinanceNot yet—
Person 27FinanceNot yet—
Person 28FinanceNot yet—
Person 29LeadershipNot yet—
Person 30LeadershipNot yet—
Person 31LeadershipNot yet—
Person 32LeadershipNot yet—
Person 33LeadershipNot yet—
Person 34LeadershipNot yet—
Person 35Legal & RiskNot yet—
Person 36Legal & RiskNot yet—
Person 37Legal & RiskNot yet—
Person 38Legal & RiskNot yet—
Person 39Legal & RiskNot yet—
Person 40Legal & RiskNot yet—
Person 41Product & TechNot yet—
Person 42Product & TechCompleted2026-09-27
Person 43Product & TechNot yet—
Person 44Product & TechNot yet—
Person 45Product & TechNot yet—
Person 46Product & TechNot yet—
Person 47Product & TechNot yet—
Person 48Product & TechNot yet—
Person 49Product & TechNot yet—
Person 50Product & TechNot yet—
Person 51Sales & BrokerNot yet—
Person 52Sales & BrokerNot yet—
Person 53Sales & BrokerNot yet—
Person 54Sales & BrokerNot yet—
Person 55Sales & BrokerNot yet—
Person 56Sales & BrokerNot yet—
Person 57Sales & BrokerNot yet—
Person 58Sales & BrokerNot yet—
Person 59UnderwritingNot yet—
Person 60UnderwritingNot yet—
Person 61UnderwritingNot yet—
Person 62UnderwritingNot yet—
Person 63UnderwritingNot yet—
Person 64UnderwritingNot yet—
Person 65UnderwritingNot yet—
Person 66UnderwritingNot yet—
Person 67UnderwritingNot yet—