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Effective June 30, 2026 — are you ready?

Colorado AI Act Exposure Audit

Answer 10 questions and get a personalized PDF report mapping your AI system to specific CAIA sections, identifying compliance gaps, and calculating your theoretical penalty exposure.

What you'll get

Risk exposure score with CAIA section citations
Compliance gap analysis with specific remediation steps
Theoretical penalty exposure calculation
Downloadable PDF report — no signup required
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CAIA Sec. 6-1-1703(6) provides reduced obligations for small deployers (fewer than 50 employees).

CAIA Sec. 6-1-1703(3) requires deployers to retain records of AI-influenced consequential decisions and produce them on Attorney General request.

CAIA requires disclosing that an AI system is influencing a consequential decision.

CAIA Sec. 6-1-1703(4)(b) requires a mechanism for consumers to correct data and appeal adverse consequential decisions, with human review where feasible.

CAIA Sec. 6-1-1703(2) requires a risk management policy. Aligning with NIST AI RMF supports an affirmative defense under Sec. 6-1-1706.

CAIA applies to AI that influences decisions in employment, finance, housing, healthcare, insurance, education, or legal services. 1–2 sentences, e.g. "Our model scores loan applicants and recommends approval or denial."

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This tool provides a preliminary self-assessment based on publicly available information about the Colorado AI Act (SB 24-205). It does not constitute legal advice. Aguardic is not a law firm — consult qualified counsel for your specific compliance obligations. Statute citations reflect our understanding as of April 2026. Penalty calculations are theoretical maximums for illustrative purposes only. See how Aguardic maps to every CAIA requirement →

Colorado AI Act Exposure Audit — Free Report - Aguardic