Get an AI governance platform that moves AI forward. Responsibly.
The Monitaur policy-to-proof journey
Define
Define enterprise AI governance
Jumpstart or reset your AI governance strategy on a platform designed to quickly establish enterprise-wide standards and controls. Unify policies across underwriting, claims, and risk models.
Manage
Manage compliance
Deliver responsible and compliant AI adoption by continuously monitoring model performance and applying standardized governance across every AI system
Automate
Automate validation
Validate AI models at scale with consistent protocols and transparent reporting. Confidently demonstrate fairness, accuracy, and regulatory alignment to internal teams and external auditors.
Visionary since 2019
Read our thoughts about the most recent Visionary placement in Gartner's inaugural Magic Quadrant for AI Governance and more generally, the status of AI Governance in 2026.
Serious governance for serious AI
Monitaur makes governance actionable across the entire model lifecycle, for all model types.
AI Governance Strategy
Accelerate your AI initiatives with our enterprise-focused governance platform that transforms barriers into opportunities.
Design your governance strategy
Model Performance
Turn AI governance from barrier into business advantage by establishing efficient processes that support both compliance and rapid development.
Unlock model transparency
AI Risk and Compliance
Streamline regulatory compliance and minimize operational risks with built-in governance controls that automate monitoring, documentation, and reporting requirements.
Mitigate AI risk now
AI Governance in Regulated Industries
Transform regulatory demands into opportunities while driving AI innovation with our purpose-built platform for enterprise.
Explore enterprise solutions
AI trust and transparency in less than 90 days
There's a delicate balance between driving innovation and responsibly managing risks for customers. This often slows the pace of change, especially regarding AI implementation. A leading insurance provider overcame these challenges by embracing responsible AI through Monitaur. Read the case study >>
Actionable governance of AI project inventory
Whether you build or buy models, the expanded inventory introduces risk. An enterprise insurer uses Monitaur to govern a growing number of third-party AI projects as internal demand increased. This seamless integration with existing third-party risk management workflows proved to be a key differentiator, resulting in improved transparency and more effective governance of vendor-provided AI solutions. Read the case study >>
8x growth in AI projects in 6 months
In financial services and insurance, there's pressure to adopt best-in-class AI solutions to modernize business while ensuring compliance with complex regulations governing AI use. Learn how this Fortune 200 company embraced innovation while deploying AI responsibly Read the case study >>
Be an enabler of long-term AI success
Through the implementation of thorough policy development, model validation, and monitoring, Monitaur enables its customers to achieve greater success with AI. They can confidently build and buy AI while maintaining continuous visibility into potential risks. In essence, that’s what it means to build AI. Responsibly.
AI governance resources
Does every Al agent need to be built with an LLM for reasoning? No. Explore Al
agent use cases and why agentic Al governance is
READ
Discussions about the fundamentals of
building safe and resilient modeling
systems
LISTEN
Watch this replay about the intersection of
AI innovation and insurance regulation.
WATCH
Does every Al agent need to be built with an LLM for reasoning? No. Explore Al agent use cases and why agentic Al governance is
READ
Discussions about the fundamentals of building safe and resilient modeling systems
LISTEN
Watch this replay about the intersection of
AI innovation and insurance regulation.
WATCH
Does every Al agent need to be built with an LLM for reasoning? No. Explore Al
agent use cases and why agentic Al governance is
READ
Discussions about the fundamentals of
building safe and resilient modeling
systems
LISTEN
Watch this replay about the intersection of
AI innovation and insurance regulation.
WATCH
Watch this encore presentation about Agentic AI governance. We will talk about multi-step AI systems, their real-world strengths, weaknesses, and how to think about use cases to safely add them to your business today.
WATCH
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Are AI token prices too good to be true? The AI Fundamentalists unpack token economics, hardware cost inflation, and the real cost of running AI at scale.
LISTEN
AI governance ROI doesn't live in one calculation. Here are four approaches we’ve helped customers create, measuring efficiency, deployment speed, quality, and risk reduction.
READ
