--- title: AI Governance Integrations for Insurance Carriers description: Connects validated AI governance to the modeling, development, and workflow systems your teams already use, from Databricks and MLflow to ServiceNow. --- [![](https://info.monitaur.ai/hubfs/raw_assets/public/Monitaur_August2024/images/Monitaur_Logo.svg)](https://www.monitaur.ai/) [Why Monitaur](https://www.monitaur.ai/why-monitaur) Platform ![](https://info.monitaur.ai/hubfs/raw_assets/public/Monitaur_August2024/images/dropdown.svg) ![Frame](https://info.monitaur.ai/hubfs/raw_assets/public/Monitaur_August2024/images/Frame%2070.svg) ##### [AI governance platform overview The leading end-to-end solution](https://www.monitaur.ai/platform) ![Frame](https://info.monitaur.ai/hubfs/raw_assets/public/Monitaur_August2024/images/Frame%2070.svg) ##### [Automate Drift & Bias | Stress Testing | Transaction Search | Integration](https://www.monitaur.ai/products#automate) 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Join us!](https://www.monitaur.ai/company#careers) FEATURED RESOURCES [![Get an assessment](https://info.monitaur.ai/hs-fs/hubfs/Monitaur%20thumbnail.webp?width=96&height=99&name=Monitaur%20thumbnail.webp)](https://www.monitaur.ai/contact) #### [Get an assessment](https://www.monitaur.ai/contact) [Ready to take the next step for AI and ML governance?](https://www.monitaur.ai/contact) [Contact US](https://www.monitaur.ai/contact) [Contact US](https://www.monitaur.ai/contact) # AI governance designed for the way insurance leaders do business. ### Controlled and validated AI governance, integrated across the systems and software your teams already use. AI governance shouldn't be just another disparate system. It belongs in the context of your business systems. Monitaur connects validated governance to the modeling, code, workflow, and documentation systems your teams work in every day, so AI risk gets managed with the same rigor you apply to every other material risk. [Schedule a walkthrough](https://www.monitaur.ai/contact) ![Hippo_Logo_12_21_17](https://info.monitaur.ai/hs-fs/hubfs/Hippo_Logo_12_21_17.png?width=1600&height=483&name=Hippo_Logo_12_21_17.png "Hippo_Logo_12_21_17") ![nice-new-logo](https://info.monitaur.ai/hubfs/nice-new-logo.svg "nice-new-logo") ![TheHanoverInsuranceGroup](https://info.monitaur.ai/hs-fs/hubfs/TheHanoverInsuranceGroup.png?width=2599&height=801&name=TheHanoverInsuranceGroup.png "TheHanoverInsuranceGroup") ![old-republic](https://info.monitaur.ai/hs-fs/hubfs/old-republic.png?width=600&height=600&name=old-republic.png "old-republic") ![unumfullcolor2x_ref_logo-1](https://info.monitaur.ai/hubfs/unumfullcolor2x_ref_logo-1.svg "unumfullcolor2x_ref_logo-1") ![progressive-logo](https://info.monitaur.ai/hubfs/progressive-logo.svg "progressive-logo") ![verisk_logo](https://info.monitaur.ai/hs-fs/hubfs/verisk_logo.png?width=210&height=52&name=verisk_logo.png "verisk_logo") ![Lincoln Financial](https://info.monitaur.ai/hs-fs/hubfs/Lincoln%20Financial.png?width=389&height=129&name=Lincoln%20Financial.png "Lincoln Financial") ![cta-sape](https://info.monitaur.ai/hubfs/Monitaur_August2024/images/cta-sape.svg) ## AI governance shouldn’t sit in a silo For most insurance carriers, AI has emerged as a disconnected discipline, separate from how the rest of the business is governed and managed. That separation is breaking down. Generative AI is moving into core insurance processes. Model volume is climbing. Regulators are sharpening expectations. Boards are asking sharper questions.  ### The answer isn't a parallel governance system for AI. It's an integrated design that brings AI into the rigor your business already runs on.  ![Monitaur square logo - white-16974 1](https://info.monitaur.ai/hs-fs/hubfs/Monitaur_August2024/images/Monitaur%20square%20logo%20-%20white-16974%201.png?width=1920&height=1399&name=Monitaur%20square%20logo%20-%20white-16974%201.png) ## A complete design for AI governance Four phases that mirror how your business already operates. Bring Monitaur in where you need it most #### Phase 1 ### Establishing a governance foundation **What happens here:** Defining what good looks like for AI in your business. Policies, taxonomy, organizational ownership, alignment to frameworks like the NAIC Model Bulletin and NIST AI RMF. **How Monitaur supports this:** A validated controls library gives you a foundation to build from. Map controls to the policies and frameworks your business already operates against, customize where it matters, and put structure under your AI governance practice without starting from scratch. **Connects to:** Confluence, ServiceNow #### Phase 2 ### Project intake and risk assessment **What happens here:** Every AI project, model, and vendor system enters governance with a clear classification, risk tier, and pathway. The appropriate oversight gets applied at the right level, without slowing your teams down. **How Monitaur supports this:** Structured intake captures every AI use case in one place. Risk tiering determines the depth of review. Workflows route projects to the right reviewers, with full visibility for risk and compliance leaders. **Connects to:** ServiceNow, Confluence #### Phase 3 ### Control implementation and automation **What happens here:** Controls move from policy documents into live systems. Evidence flows automatically from where models are built, validated, and deployed **How Monitaur supports this:** Pre-built integrations capture evidence from your modeling and development environments, so your AI teams keep working in the tools they already use. Validated controls run continuously. Documentation gets generated as the work happens, not after the fact. **Connects to:** Databricks, MLflow, DataRobot, Azure, Amazon SageMaker, Amazon Bedrock, GitHub, LangFuse ![download (3) 1-1](https://info.monitaur.ai/hubfs/Monitaur_August2024/images/download%20(3)%201-1.svg) ## Connect to the systems your teams already use Pre-built integrations across your modeling, development, workflow, and documentation stack. ### Modeling and AI development Databricks MLflow Data Robot Azure Amazon SageMaker Amazon Bedrock ### Workflow and ITSM ServiceNow ### Code GitHub ### LLM observability LangFuse ### Documentation Confluence ![Start -bg](https://info.monitaur.ai/hubfs/Monitaur_August2024/images/Start%20-bg.png) ## Start where you want Few carriers adopt every phase of AI governance at once. Most start where they feel the most pressure, whether that's intake discipline, control automation, or risk reporting, and expand from there. Monitaur is designed to plug into the phase where you need it most, with a clear path to expand as your AI governance practice matures.  ![download (3) 1 (1)](https://info.monitaur.ai/hubfs/Monitaur_August2024/images/download%20(3)%201%20(1).svg) ## Extend the model risk discipline you already trust Insurance carriers have spent decades building rigorous model risk management practices. AI governance doesn't replace that discipline. It extends it. Monitaur applies the same standard of validation, control, and oversight to the broader set of AI systems shaping your business, from traditional models to generative AI.  ![download (3) 1](https://info.monitaur.ai/hs-fs/hubfs/Monitaur_August2024/images/download%20(3)%201.png?width=1920&height=310&name=download%20(3)%201.png) ## See where Monitaur can help with AI governance [Schedule a walkthrough](https://www.monitaur.ai/contact) [![Monitaur](https://info.monitaur.ai/hubfs/Monitaur_August2024/images/monitaur.svg "Monitaur")](https://www.monitaur.ai/) ###### [Platform](https://www.monitaur.ai/platform) - [Define](https://www.monitaur.ai/products#define) - [Manage](https://www.monitaur.ai/products#manage) - [Automate](https://www.monitaur.ai/products#automate) - [Enterprise ready](https://www.monitaur.ai/products#enterprise) - [Integrations](https://info.monitaur.ai/ai-governance-integrations-for-insurance-carriers) ###### [Solutions](https://www.monitaur.ai/solutions) - [AI governance strategy](https://www.monitaur.ai/solutions#ai-gov-strategy) - [Model performance](https://www.monitaur.ai/solutions#model-performance) - [AI risk and compliance](https://www.monitaur.ai/solutions#ai-risk) - [Regulated industries](https://www.monitaur.ai/solutions#governance) - [Insurance](https://www.monitaur.ai/solutions#governance) ###### AI Trust Library - [Blog](https://www.monitaur.ai/blog) - [Case Studies](https://www.monitaur.ai/case-studies) - [Webinars](https://www.monitaur.ai/webinars) - [Podcasts](https://www.monitaur.ai/podcast) - [Newsletter](https://www.monitaur.ai/machine-learning-newsletter) ###### Company - [About](https://www.monitaur.ai/company) - [Customers](https://www.monitaur.ai/why-monitaur) - [Careers](https://www.monitaur.ai/company#careers) - [Press](https://www.monitaur.ai/press) [![Logo](https://info.monitaur.ai/hs-fs/hubfs/Monitaur_August2024/images/type-II_logo.png?width=359&name=type-II_logo.png "Logo")](https://www.aicpa-cima.com/resources/download/soc-for-service-organizations-engagements-overview) - [Privacy Policy](https://www.monitaur.ai/privacy-policy) - [Security](https://www.monitaur.ai/security) © 2026 Monitaur, Inc.  All rights reserved.