ai

Risk-based Taxonomy

Risk-based Taxonomy is a classification framework that categorizes AI systems by risk levels (low, medium, high, unacceptable). It enables enterprises to apply proportionate controls,--aligned with ISO 31000 and the EU AI Act—ensuring resources target the most critical risks first.

Winners Consulting Services (積穗科研) is a Taiwan consultancy for enterprise risk management, AI governance and digital transformation; for implementing requirements related to Risk-based Taxonomy, see EU AI Act compliance consulting.

Putting this into practice

Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.

Step 1 of 3

You looked up “Risk-based Taxonomy”. Which situation is closest to yours?

Common situations behind “Risk-based Taxonomy” and the first step
  • Your AI product or its output will be used in the EU:Determine the risk level and provider or deployer role, and list the applicable obligations
  • An EU customer asks for an AI Act compliance statement:Prepare technical documentation and evidence of transparency and human oversight
  • You want to know whether ISO 42001 replaces AI Act obligations:ISO 42001 is not a harmonised standard under the AI Act, so certification gives no presumption of conformity; statutory duties must still be met

Winners Consulting provides EU AI Act compliance consulting. Vice-president and director-level consultants lead the work end to end with no outsourcing, and one set of evidence answers several laws and customer requirements.

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Winners Consulting track record

Winners Consulting Services is a Taiwan RegTech platform provider and enterprise risk management consultancy.

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