Flagship Audit Engagement

Comprehensive Healthcare AI Audit

The complete package — bundles clinical, prior auth, bias, governance, and vendor evaluation into one integrated audit. The only way to earn the AI Health Audit Verified distinction.

Overview

What this engagement does

Our flagship engagement is the only way to earn the AI Health Audit Verified distinction. It bundles five core independent evaluations — Clinical Validation, Prior Authorization & UM Audit, Bias & Equity Assessment, Governance Review, and Vendor Due Diligence — into a single integrated audit with a risk-prioritized corrective-action plan. Each component can also be procured separately, but only the full Comprehensive Audit earns the verification mark.

Typical timeline

8–14 weeks

Timelines are configurable estimates and depend on scope, system complexity, and evidence availability.

Who It's For

Health plans deploying AI in prior authorization or utilization management

Hospitals implementing clinical decision-support tools

Healthcare technology companies preparing for customer due diligence

AI developers seeking independent validation before launch

Organizations investigating a reported AI-related incident

Systems Covered

Predictive risk models

Clinical decision-support tools

Utilization-management and prior-authorization systems

Claims-related decision support

Generative AI applications in clinical or administrative workflows

Healthcare automation and workflow orchestration tools

AI agents that perform multistep tasks or take actions within workflows (agent testing applies)

What's Inside

Five component evaluations, one integrated audit

Each component below can be purchased separately — but only the full Comprehensive Audit integrates all five and earns the AI Health Audit Verified distinction.

1

Clinical Validation

Physician and AI engineer led review of clinical appropriateness and coverage-criteria alignment.

2

Prior Authorization & UM Audit

Focused review of AI used in prior authorization, medical necessity, and utilization management.

3

Bias & Equity Assessment

Subgroup performance measurement and disparity analysis.

4

Governance Review

Governance maturity assessment, policy review, and oversight evaluation.

5

Vendor Due Diligence

Vendor documentation, performance evidence, and contract-risk review.

+

Agent Testing (for systems with agentic functionality)

Agent testing is an additional sixth assessment domain that applies only to systems with agentic functionality. Audits of non-agentic systems include the five core components.

Explore Agent Auditing →

Integrated Agentic Assurance

Healthcare AI Agent Auditing: Integrated Agentic Assurance

For healthcare AI systems with agentic capabilities, the Comprehensive Healthcare AI Audit incorporates specialized testing of agent behavior, tool use, workflow execution, authorization boundaries, human oversight, clinical safety, and failure management. This evaluation extends beyond model outputs to assess how agents operate within real-world healthcare environments.

Agent testing is scoped and risk-based and does not guarantee safety or regulatory compliance.

What Is Evaluated

Data provenance and representativeness

Intended use and stated limitations

Model performance across overall and subgroup populations

Clinical appropriateness for the intended use case

Fairness across protected and clinically meaningful subgroups

Explainability and transparency mechanisms

Workflow integration and human-review design

Privacy and security controls

Governance, monitoring, and incident response

Deliverables

Executive risk summary

Detailed findings report

Risk-prioritized issue register

Bias and subgroup analysis

Clinical validation findings

Governance gap analysis

Corrective-action roadmap

Documentation package

Monitoring recommendations

Board or executive presentation

Frequently Asked Questions

Common questions

What is the AI Health Audit Verified distinction?

The AI Health Audit Verified distinction is earned only by completing a full Comprehensive Healthcare AI Audit. It signals to your board, regulators, customers, and partners that your AI system has undergone independent, physician and AI engineer led evaluation across clinical, technical, fairness, governance, and vendor dimensions. Component engagements procured separately do not earn the verification mark.

Can I purchase just one component instead of the full audit?

Yes. Clinical Validation, Prior Authorization & UM Audit, Bias & Equity Assessment, Governance Review, and Vendor Due Diligence can each be purchased as standalone engagements. However, only the full Comprehensive Audit bundles all five into an integrated findings package and earns the verification mark.

Does this audit guarantee regulatory compliance?

No. Compliance is determined by regulators. Our audit provides independent evidence that helps you demonstrate responsible governance, identify gaps, and prioritize remediation. It supports regulatory readiness but cannot guarantee any specific regulatory outcome.

Do you review proprietary model internals?

We can review model documentation, performance evidence, and — under appropriate confidentiality and security protections — model artifacts provided by the developer or vendor. We do not require source code access to complete a meaningful audit, but we will request specific evidence depending on scope.

Can the audit be scoped to a single use case?

Yes. Comprehensive audits are typically scoped to one AI system or use case at a time. Multi-system engagements can be structured as a phased program.

Does every Comprehensive Audit include agent testing?

No. Agent-specific testing is an additional assessment domain added only for systems with agentic functionality, such as AI that performs multistep tasks, uses tools, or initiates actions within workflows. Audits of non-agentic systems include the five core components. Like the rest of the audit, agent testing is scoped and risk-based and does not guarantee safety or regulatory compliance.

Related Services

Standalone or bundled

AI Governance Readiness Assessment

Find out where your organization stands before an audit finds out for you. Available separately or as part of the Comprehensive Audit.

Typical timeline: 3–5 weeks

Explore Governance Readiness →

Standalone or bundled

Clinical and Utilization Management Validation

Independent validation that AI recommendations align with clinical evidence and coverage criteria. Available separately or as part of the Comprehensive Audit.

Typical timeline: 6–10 weeks

Explore Clinical Validation →

Standalone or bundled

Bias, Fairness and Equity Evaluation

Identify whether your healthcare AI performs differently across patient populations. Available separately or as part of the Comprehensive Audit.

Typical timeline: 5–8 weeks

Explore Bias & Equity →

Standalone or bundled

Vendor AI Due Diligence

Evaluate AI vendors before you contract or deploy. Available separately or as part of the Comprehensive Audit.

Typical timeline: 3–6 weeks

Explore Vendor Due Diligence →

Requires prior Comprehensive Audit

Continuous Monitoring and Reassessment

Ongoing oversight after your Comprehensive Audit is complete. Requires a prior Comprehensive Audit engagement.

Typical timeline: Ongoing; quarterly and annual cadence

Explore Monitoring & Reassessment →

Standalone or within the Comprehensive Audit

Healthcare AI Agent Auditing & Assurance

Independent clinical, technical, and operational evaluation of healthcare AI agents, for vendors and healthcare organizations.

Explore Agent Auditing →

Ready to scope a Comprehensive Audit engagement?

Start with a consultation. We will confirm scope, required evidence, timeline, and pricing before any commitment.

AI Health Audit

Independent healthcare AI auditing, governance, vendor consulting, compliance education, and enterprise training.

● Founded in 2023

contact@aihealthaudit.com

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© 2026 AI Health Audit. All rights reserved. · AI Health Audit provides independent audit, advisory, and educational services. We do not provide legal advice, compliance determinations, or guarantees of regulatory outcomes. Findings are educational and informational.

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