Monitaur Blog

Original insights and perspectives about model governance and risk management

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Colorado’s SB26-189: New requirements for automated decision-making technology and compliance strategies

SB26-189 replaces Colorado's AI Act with new documentation, disclosure, and human review requirements for automated decision-making. What risk and compliance teams need to know.

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AI Governance & Assurance

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AI washing is the new greenwashing, and regulators are paying attention

SEC and NAIC are targeting AI washing. Learn what insurance carriers must document to substantiate AI claims before regulators come asking.

The governance gap in agentic AI: What happens when your AI agent makes a bad decision?

Nobody wants to answer the question until they have to. Then everyone asks it at once: "Who owns the decision when AI is wrong?”

The Autonomy Paradox: Why Agentic AI demands more governance, not less

The multi-step, autonomous nature of AI agents does not make existing risk frameworks obsolete. It makes them more essential than ever. A technical breakdown of what responsible deployment actually requires.

NAIC AI Systems Evaluation Tool Pilot: A Guide for Insurers

Monitaur CEO Anthony Habayeb breaks down the 2026 NAIC AI Pilot, its impact on insurance governance, and how carriers can prepare for upcoming exams.

Actuaries and data science: Bridging the gap

New methods from data science and AI present new opportunities for actuaries, but they haven't yet been absorbed into actuarial practices largely because of training and compliance barriers. We propose solutions for bridging this gap.

Governance as a roadmap for AI transformation in insurance

When governance is done correctly, it's the catalyst for moving AI forward. Learn how in this interview between Marissa Buckley and Anthony Habayeb from ITCVegas 2025

Three ways to build trust and reduce risks with your AI vendors

Three ways you can build trust and reduce risks from third-party AI vendors through a purpose-built AI governance strategy.

Agentic AI specification: Building a travel agent that works

Review this mathematical specification for Agentic AI Travel Agents. It combines microeconomics, mechanism design, and utility optimization to balance governance with optimization.

Three common challenges with implementing AI for claims

Is AI adoption slowing down in your organization? Claims teams can benefit from effective uses of AI, but if trust isn't built into the changes, investments fall flat. Learn how AI governance can be an enabler of your AI strategy.