AI audit services provide organizations with an independent and structured assessment of AI systems, governance practices and AI lifecycle processes. These audits evaluate alignment with ethical principles, internal policies and external regulatory requirements such as the EU AI Act, NIST AI RMF and ISO/IEC 42001.
By identifying risks, gaps and non-compliance across technical, organizational and ethical dimensions, these services help organizations strengthen accountability, build stakeholder trust and demonstrate due diligence in the development and deployment of AI. The audit is conducted through the following core service components.
Evaluation of specific AI models and systems for fairness, bias, robustness, privacy, explainability and performance consistency.
Analysis of datasets and model outcomes to identify and quantify bias, discrimination or disproportionate impact on protected groups.
Examination of model development documentation, risk assessments, lifecycle management processes and model cards.
Review of AI governance frameworks, organizational roles, policies and procedures to assess effectiveness and maturity.
Assessment of compliance with applicable laws and standards such as GDPR, EU AI Act, ISO 42001 and NIST AI RMF.
Guidance on addressing audit findings, including prioritization of risks and recommended corrective actions.
This service produces a defined set of audit outputs designed to support regulatory, executive and board-level oversight:
Responsible AI requires integrated expertise across technology, risk, cybersecurity and business operations. Schneider Downs helps organizations operationalize AI governance with clarity, control and confidence.
Integrated Risk and Technology Expertise – Govern AI systems while protecting data, security, and reputation.
Defensible, Audit-Ready Frameworks – Build Responsible AI programs aligned to regulatory and compliance expectations.
Business-Aligned Governance – Embed AI oversight into real operating models and decision-making structures.
End-to-End Delivery – Move from assessment to implementation and continuous improvement.
Schneider Downs helps organizations establish practical Responsible AI governance that ensures AI systems are trustworthy, explainable and used transparently. We work with executive, risk and technology leaders to design and operationalize governance frameworks supported by clear policies, standards and lifecycle controls. By embedding Responsible AI principles into enterprise risk and operational structures, we enable proactive AI risk management and scalable, compliant and accountable AI adoption. Learn more at www.schneiderdowns.com/rai.
