Free AI Governance Assessment: Know Your Score in 2 Minutes

Most AI teams don't know where they stand on governance. They have some policies, maybe a few controls, but no clear picture of their readiness for audits, security reviews, or regulatory requirements. We built a free assessment to change that.

Why We Built This

In conversations with dozens of AI teams, we kept hearing the same questions: "Are we doing enough?" "What are we missing?" "How do we compare to others in our industry?"

These aren't easy questions to answer. AI governance spans documentation, technical controls, evidence generation, audit readiness, and more. Without a structured way to evaluate each dimension, teams end up guessing—or worse, discovering gaps when a deal is on the line.

Our assessment distills what we've learned from working with healthcare AI, financial services AI, and enterprise teams into six targeted questions that reveal your governance maturity.

What You'll Learn

After completing the 2-minute assessment, you'll receive:

A letter grade (A-D) reflecting your overall AI governance readiness
A percentage score benchmarked against governance best practices
Personalized recommendations based on your specific gaps
Industry-specific context for healthcare, financial services, or enterprise

80-100%

Mature

60-79%

Good foundation

40-59%

Moderate risk

0-39%

High risk

The Six Dimensions We Measure

The assessment evaluates your AI governance across six critical dimensions:

1. Industry Context

Healthcare, financial services, and enterprise AI face different regulatory landscapes. We tailor recommendations based on whether you're dealing with HIPAA, SR 11-7, EU AI Act, or general security reviews.

2. Documentation Maturity

Do you have formal policies? Are they mapped to frameworks like NIST AI RMF or ISO 42001? Or are you relying on tribal knowledge and ad-hoc practices?

Sample Question: Documentation

We don't have formal documentation

Basic policies exist but are outdated

Comprehensive policies, regularly reviewed

Policies mapped to frameworks (NIST, ISO, etc.)

3. Technical Controls

Content filtering, PII detection, output validation—the technical guardrails that prevent AI from doing harm. We assess whether you have them and how comprehensive they are.

4. Evidence Generation

This is where most teams fall short. Can you prove your controls actually executed for any given AI interaction? Or do you just have logs that could theoretically be altered?

5. Audit Readiness

When a security review or compliance audit arrives, are you scrambling for weeks or pulling evidence in hours? Your answer reveals a lot about governance maturity.

6. Business Impact

Have compliance concerns slowed or blocked deals? This question connects governance maturity to real business outcomes.

Who Should Take This Assessment

The assessment is designed for:

AI product leaders evaluating governance investments
Compliance and risk teams assessing AI-specific gaps
Engineering leaders planning control implementations
Founders and executives preparing for enterprise sales

Whether you're just starting your AI governance journey or looking to benchmark against best practices, the assessment provides a clear starting point for improvement.

What Comes Next

Your score isn't just a number—it's a roadmap. Based on your results, you'll receive specific recommendations for improving your governance posture. For teams that want to accelerate, we offer the Evidence Pack Sprint: a focused engagement that produces board-ready compliance evidence in days.

But you don't need to buy anything. The assessment and recommendations are completely free. Our goal is to help AI teams understand where they stand and what they need to do next.

For healthcare AI vendors: HIPAA requires audit controls (§164.312(b)). Our assessment helps you identify whether your current governance meets these requirements—before a buyer asks.