AI risk management services help organizations design and implement a comprehensive AI Risk Management that enables consistent identification, assessment, mitigation and monitoring of AI-related risks. This service ensures AI systems are safe, fair, transparent, explainable, accountable and aligned with internal policies and external regulatory requirements.
By integrating AI risk management into existing enterprise risk and governance structures, these services provide leadership with clear visibility into AI risk exposure and the effectiveness of controls. Risk management is implemented through the following core service components.
Performance of algorithmic risk assessments and impact analyses to identify potential harms and risk exposure across AI use cases.
Identification and implementation of technical, organizational and procedural controls across the AI lifecycle.
Delivery of tools and methodologies for algorithmic impact assessments, bias evaluations and AI risk scoring.
Development of a structured and scalable AI risk management framework aligned with recognized standards such as NIST AI RMF and ISO/IEC 42001.
Definition of AI specific risk categories including bias, privacy, security, explainability, robustness and impact.
Stakeholder engagement through workshops and training to operationalize the risk framework across technical and non technical teams.
This service produces a defined set of outputs designed to support ongoing risk oversight and regulatory readiness:
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.
