ISO 42001 · AI MANAGEMENT SYSTEM

    ISO 42001 Wants a System. This Is One.

    The first international AI management system standard asks for policy, oversight, and improvement around AI, operating continuously. A governed AI workforce gives you the operating half on day one.

    01

    What ISO 42001 Asks of You

    ISO/IEC 42001 defines an AI management system: the policies, roles, controls, and reviews an organization wraps around its use of AI. It is the standard enterprise buyers increasingly name in vendor questionnaires.

    The hard part of any management system is proving it operates. Documents describe intent; records prove practice. The platform's governance layer produces those records as a side effect of normal operation.

    02

    How the Platform Answers

    The same six always-on controls that govern the AI workforce produce the answers this framework asks for.

    Policy, enforced not filed

    Rules about what agents may do are live enforcement, answered on every action, rather than a document someone audits once a year.

    INSPECTED CONTINUOUSLY

    Human oversight, built in

    Consequential actions pause for a named human decision in chat or Slack, and the record shows who approved what, and when.

    INSPECTED CONTINUOUSLY

    Resources under control

    AI spend is capped before work is dispatched, giving the management system the resource-control loop the standard expects.

    INSPECTED CONTINUOUSLY

    Improvement from real data

    Every decision and block is on the record, so reviews of how AI behaves run on evidence, and policy changes land as updated rules, not memos.

    INSPECTED CONTINUOUSLY

    We provide the evidence trail mapped to ISO 42001 controls; certification itself is an auditor's decision. What you bring to that audit is a system that has been writing its own proof all year.

    03

    Frequently Asked Questions

    TRANSCRIPT · AUDITOR INTERVIEW
    01

    Auditor:Does using NebCore make us ISO 42001 certified?

    02

    NebCore:No vendor can make you certified. Certification is an audit outcome. What the platform provides is the operating evidence an AI management system needs: enforced policy, human oversight records, resource controls, and a continuous audit trail mapped to the standard's controls.

    03

    Auditor:How is this different from writing our own AIMS documentation?

    04

    NebCore:You still set the policy; the difference is enforcement and proof. Rules run on every agent action, approvals capture named decisions, and the records accumulate continuously instead of being assembled before the audit.

    05

    Auditor:Can our auditors consume the evidence?

    06

    NebCore:Yes. Evidence exports in machine-readable OSCAL along with the rest of the compliance set, so auditors read structured artifacts instead of screenshots.

    Part of the full evidence set: NIST AI RMF · SOC 2 · HIPAA · How governance works

    Bring ISO 42001 questions. Leave with evidence.

    See the governance layer and its evidence exports on your own use case.