Artificial intelligence models are increasingly used in production environments for core business operations. As these systems make decisions with tangible impacts in areas like finance, healthcare, and insurance, the associated financial, regulatory, and reputational risks grow. As the adoption of AI systems scales across regulated industries, regulatory scrutiny is increasing accordingly, shifting the need for clear, defensible records from a recommended best practice to a statutory requirement. Because the rapid evolution of AI means that regulations and frameworks governing its use are changing quickly, tracking the impact of every change requires an enterprise-grade system capable of capturing all relevant information and applying it systematically.
In May 2026, Governor Jared Polis signed Senate Bill 26-189 (SB26-189), updating how the state regulates high-impact algorithmic systems.[^1] This legislation completely repeals and replaces the state's 2024 AI Act (SB24-205).[^2] For risk officers and technical leaders, the transition to the new Automated Decision-Making Technology (ADMT) law introduces specific new mandates for governing, documenting, and validating models.
Colorado’s original framework, SB24-205, imposed requirements on developers and deployers of "high-risk artificial intelligence systems," including duties of care and mandatory annual AI impact assessments. Recognizing that stakeholders needed more time to ensure the law was implementable, the legislature briefly delayed the original law via SB25B-004 before ultimately passing SB26-189 to replace the framework entirely.[^3] The new law removes the terms "artificial intelligence" and "high-risk artificial intelligence systems" from the regulatory text, instead regulating Automated Decision-Making Technology (ADMT).[^4] The law defines ADMT as technology that processes personal data and uses computation to generate outputs used to make, guide, or assist a "consequential decision". These consequential decisions encompass highly regulated domains: education, employment, housing, financial and lending services, health care, insurance, and essential government services and public benefits.[^5]
While the revised ADMT law removes the requirements for formal impact assessments and the "duty of care," it introduces specific requirements focused on transparency, downstream accountability, and consumer rights. Organizations should prepare for three key pillars of SB26-189 before the January 1, 2027 effective date:
1. Developer documentation mandates: Developers of covered ADMTs are statutorily required to provide deployers with comprehensive technical documentation. This documentation must outline the ADMT’s intended uses, known harmful uses, categories of training data, known limitations, and explicit instructions for appropriate use, monitoring, and meaningful human review. This shifts significant transparency requirements to the vendor level. To avoid vendor overload and third-party AI blindspots, deployers need a unified, single pane of glass for all purchased AI systems and foundational models. Monitaur Govern addresses this by centralizing external documentation and providing pre-mapped controls for popular foundational models.
2. Deployer notice and the 30-day explanation window: Deployers must provide a clear and conspicuous up-front public notice when a covered technology is utilized. If an ADMT materially influences a consequential decision that results in an adverse outcome, the deployer is legally obligated to provide the consumer with a plain-language explanation of the ADMT's role within 30 calendar days.[^4]
3. The right to "meaningful human review": Following an adverse outcome, consumers possess the right to access personal data and correct factually incorrect data processed by the ADMT.[^1] Furthermore, they are granted the right to demand a meaningful human review and reconsideration of the decision, to the extent commercially reasonable.[^4] This requires deployers to designate and train personnel with the specific authority to override the ADMT's initial output.
(Note: The law includes specific exemptions, such as for certain insurers already in compliance with existing state insurance laws, and features a 60-day right to cure alleged violations before the Attorney General can take enforcement action, though this provision expires on January 1, 2030.)[^5]
The adoption of AI models requires oversight that can easily challenge existing compliance resources. Historically, organizations have relied on manual questionnaires and policies within Governance, Risk, and Compliance (GRC) platforms to manage model risk. Maintaining human oversight is necessary, but it must be strategically managed with technology that focuses human attention where it is most needed.
Organizations are increasingly shifting toward automated, evidence-based governance. Monitaur Govern solves the critical challenge of fragmented oversight by establishing a comprehensive AI model inventory, transforming risk from a manual checklist into a repeatable, automated workflow. Working alongside independent assurance layers like Monitaur Automate, it bridges the gap between technical operations and risk compliance.
By defining expectations for high-impact automated systems, SB26-189 provides a roadmap for responsible adoption. However, relying on manual validation scripts or qualitative self-assessments poses scalability and compliance challenges. Good AI needs great governance; decoupling the innovation rate from the compliance burden actively improves both model and business performance. By utilizing Monitaur Govern as the system of record alongside objective assurance platforms, businesses can provide a consistent approach to AI governance, ensuring their AI systems are validated before launch and monitored safely in production.
Disclaimer: This document is for informational purposes only and does not constitute legal advice. Readers should not rely on this document as a basis for any legal, compliance, or business decision without seeking independent legal counsel qualified in the applicable jurisdiction(s). As of publication, enforcement of SB26-189 is subject to an active federal court stay stemming from xAI LLC v. Weiser. Organizations should monitor this litigation closely, as the January 1, 2027 effective date, while currently operative, may be affected by its outcome. Monitaur makes no representation as to the accuracy, completeness, or current status of any law or regulation described herein. Regulatory positions are subject to change without notice.
Footnotes
[^1]: Colorado General Assembly. Senate Bill 26-189: Automated Decision-Making Technology. 75th General Assembly, 2nd Regular Session. Enacted May 14, 2026.
[^2]: Colorado General Assembly. Senate Bill 24-205: Consumer Protections for Artificial Intelligence. 74th General Assembly, 2nd Regular Session. Enacted May 17, 2024.
[^3]: Colorado General Assembly. Senate Bill 25B-004: Increase Transparency for Algorithmic Systems. 75th General Assembly, 1st Extraordinary Session. Enacted August 28, 2025.
[^4]: Marc B. Collier, Helen Christakos, Susana Medeiros, Ethan Glenn, Remi Gambino, and Shushan Gabrielyan. "Colorado enacts revised AI law." Norton Rose Fulbright, May 2026.
[^5]: Legislative Council Staff. Fiscal Note SB 26-189: Automated Decision-Making Technology (First Revised Note). Colorado General Assembly. May 6, 2026.
