Is Your AI Execution Risk Insurable?

Insurance carriers are increasingly evaluating AI governance, operational controls, and execution risk.

As organizations scale AI-assisted workflows, the question is no longer simply:

Do you use AI?

The question is:

Can you demonstrate control?

Request Executive Briefing

Why This Matters

Many organizations assume AI-related activities are covered under existing policies.

However, insurers, brokers, and underwriters are increasingly evaluating:

Organizations that cannot demonstrate control may face higher costs, exclusions, or limited coverage.

What This Benchmark Evaluates

Execution Assurance
Whether approved actions can be independently validated before execution becomes real.
Governance Readiness
Whether AI-enabled workflows operate within a documented and auditable governance framework.
Operational Controls
Whether controls are specifically designed to govern AI-assisted and automated execution at scale.
Audit Evidence
Whether your organization can produce execution evidence on demand for underwriting or claims review.
AI Scale Readiness
Whether current controls can scale with AI-assisted and automated execution volume.

Step 1: About You

Step 2: AI and Automation Criticality

Does your organization currently use AI-assisted or automated workflows in production?

Would failure of these workflows create meaningful business impact?

Step 3: Controls and Authorization

Can your organization prove the approved action was the action that actually executed?

If execution conditions change after approval, does the workflow revalidate authorization?

Step 4: Evidence and Auditability

Can your organization reconstruct why an automated or AI-assisted workflow made a decision six months later?

Could Internal Audit independently verify execution outcomes today?

Step 5: Operational Exposure

Has your organization experienced any of the following in the last 24 months?

How are execution issues typically discovered?

Step 6: AI Scale Readiness

Are current controls specifically designed for AI-assisted or automated execution?

If your CEO or Board asked, "Can we safely scale AI-assisted operations?" could you answer confidently?

Step 7: Execution Assurance Signals

If an AI-enabled workflow exceeded an approved threshold tomorrow, how quickly would leadership know?

Could your organization independently demonstrate that execution remained within approved boundaries?

Could Internal Audit independently reconstruct execution for a high-consequence event today?

Enterprise AI Execution Assurance Benchmark Results

Your benchmark result is based on your responses across execution assurance, authorization linkage, auditability, operational exposure, and AI scale readiness.

What This Means
Your result indicates how prepared your organization may be to independently validate AI-enabled execution before irreversible business impact occurs.
Potential Areas of Exposure
Authorization linkage, execution assurance, auditability, replayability, and operational traceability.
Recommended Next Step
Review one high-consequence workflow through an Execution Integrity Diagnostic.

Recommended Next Step

Schedule a short executive briefing to review your benchmark results and determine whether one high-consequence workflow should be evaluated through an Execution Integrity Diagnostic.

Request Executive Briefing

This benchmark is intended for informational and preliminary risk-screening purposes only. It does not constitute legal, audit, regulatory, compliance, SOC, or financial assurance advice.

Control is becoming the foundation of insurability.