Navigating AI Governance in Insurance: How to Keep Your AI Projects Moving Forward

AI governance is evolving rapidly, and if you’re feeling overwhelmed, you’re not alone. Every major platform—from Microsoft to Google to SalesForce—now has AI embedded, and that means every procurement team, every compliance officer, and every AI governance council is swamped trying to assess risk, ensure compliance, and determine what should be prioritized or deprioritized.

We get it. You’re trying to implement valuable, efficiency-driving AI tools while navigating an increasingly complex regulatory landscape. And we’re here to help.

Why AI Governance Committees Matter

AI is transforming the insurance industry, but with that transformation comes responsibility. AI governance committees play a crucial role in ensuring that AI is used ethically, fairly, and in compliance with evolving regulations.

These committees exist to:

• Ensure fairness and transparency–AI should enhance decision-making, not introduce bias or obscure how conclusions are reached. AI governance committees work to ensure that AI solutions adhere to ethical and regulatory standards.
• Manage risk and compliance–AI regulations, like those set by NAIC and other governing bodies, are constantly evolving. These committees help insurers stay ahead of legal and compliance risks, avoiding potential penalties and reputational damage.
• Prioritize responsible AI implementation–With so many AI tools flooding the market, governance committees help separate useful, compliant AI from solutions that may pose risks, ensuring that trusted, transparent AI gets prioritized.

At DigitalOwl, we fully support the mission of AI governance teams. That’s why we’ve developed an AI Governance Toolkit—designed to help committees streamline their review process and easily assess our commitment to secure, responsible AI practices.

AI Governance is Important—But It Shouldn’t Slow You Down

The insurance industry is in the middle of a massive shift. The NAIC has set new guidelines for AI use in underwriting and claims, procurement teams are vetting AI solutions more rigorously than ever, and AI councils are juggling competing priorities.

At DigitalOwl, we don’t just acknowledge these challenges—we work within them. Our AI is designed for transparency, compliance, and human oversight so that you can confidently bring it to your AI governance discussions.

Here’s what you need to know:

• Our solutions are fully transparent. Every insight we provide is fully traceable, with click-to-evidence verification so underwriters can quickly validate every data point.

• We use a human-in-the-loop approach. Our AI extracts and surfaces critical information from medical records, enabling underwriters and claims analysts to make informed decisions. It does not make decisions—instead, it acts as a powerful tool that efficiently identifies the most relevant details from hundreds or thousands of pages, supporting insurance professionals in their decision-making process.
• We voluntarily comply with the NAIC Model Bulletin. Although DigitalOwl is not an insurance company and is not obligated to adhere to the NAIC Model Bulletin, we voluntarily choose to align with its guidelines. This decision underscores our dedication to providing customers with the highest level of service and assurance. ‍‍Click here to learn more about the measures we implement to comply with the NAIC Model Bulletin. ‍
• We stay ahead of evolving AI regulation. At DigitalOwl, we are committed to staying ahead of the rapidly evolving AI regulations in the insurance industry. Our dedication to innovation is paired with a strong focus on compliance, ensuring that our AI solutions not only drive efficiency but also uphold the highest standards of fairness, transparency, and accountability. Download our whitepaper on how to navigate evolving AI regulations to learn more. 

How to Get Your AI Project Prioritized

One of the biggest frustrations we’ve heard; AI governance councils are swamped, and it’s hard to get your project reviewed and approved. You know that AI can drastically improve efficiency in medical record reviews, but getting buy-in from multiple stakeholders can feel like an uphill battle.

Here’s how we help:

• ‍We make it easy for you to communicate the value of AI to governance teams– We provide clear documentation, transparent methodologies, and a compliance-friendly approach so you have the materials you need to move forward.‍
• We give you control over the AI process–Our AI does not generate conclusions or assumptions—it simply extracts and structures data from medical records. Every insight is linked back to the original source, ensuring full traceability.‍
• We built a toolkit to support you–If you need to advocate for AI within your organization, our AI Governance Toolkit provides the key talking points, compliance considerations, and regulatory insights to help get your project prioritized.

We’ve Got Your Back

AI in insurance isn’t just about automation—it’s about empowering underwriters with better tools while maintaining compliance and oversight. We know this is a tough task, and we sympathize with teams navigating these complex conversations.

That’s why we’re here to support you every step of the way—helping you bring AI to your organization in a way that is trusted, transparent, and compliant.

Have more questions? Reach out to our team to learn more.