AI Governance & Risk

Comprehensive AI governance frameworks and risk management strategies that ensure responsible, ethical, and compliant AI deployment. We help organizations navigate regulatory requirements, mitigate AI risks, and build trust through transparent, accountable AI systems.

Who This Is For

Chief Risk Officers, compliance teams, legal departments, and executives responsible for ensuring AI systems meet regulatory requirements, ethical standards, and organizational risk tolerance.

Deliverables

What We Deliver

AI Governance Framework
Comprehensive governance policies, decision-making structures, and oversight mechanisms for responsible AI development and deployment.
Bias & Fairness Assessment
Systematic evaluation of AI systems for bias, fairness issues, and discriminatory outcomes with mitigation strategies and ongoing monitoring.
Regulatory Compliance
Compliance strategies for AI regulations (EU AI Act, GDPR, CCPA, industry-specific requirements) with documentation and audit trails.
Risk Assessment
Comprehensive AI risk identification, evaluation, and mitigation planning covering technical, operational, reputational, and legal risks.
Ethics Guidelines
Ethical AI principles, review processes, and stakeholder engagement frameworks aligned with organizational values and societal expectations.
Security & Privacy
Data protection measures, model security protocols, and privacy-preserving techniques to safeguard sensitive information in AI systems.

Real-World Examples

Example Engagements

Financial Services AI Governance

Developed comprehensive AI governance framework for multinational bank, including model risk management, bias testing protocols, and regulatory compliance documentation for credit decisioning models.

Outcome

Achieved regulatory approval for 15 AI models, reduced compliance review time by 60%, established ongoing monitoring program.

Healthcare AI Ethics Review

Implemented AI ethics review board and assessment process for healthcare provider deploying diagnostic AI. Created bias testing framework and patient consent protocols.

Outcome

Identified and mitigated 3 critical bias issues, achieved HIPAA compliance, established trust with patient advocacy groups.

EU AI Act Compliance

Guided SaaS company through EU AI Act compliance for high-risk AI system, including risk assessment, technical documentation, and conformity assessment preparation.

Outcome

Achieved compliance readiness 6 months ahead of deadline, documented 50+ AI systems, established ongoing compliance process.

Investment

Timeline & Pricing

Typical Timeline

Governance and risk engagements typically run 6-12 weeks for initial framework development, with ongoing support for implementation and monitoring. Timeline varies based on regulatory complexity and number of AI systems in scope.

Pricing Model

Project-based pricing starting at pricing on request for governance framework development, pricing on request for comprehensive compliance programs. Ongoing advisory and monitoring services available at pricing on request/month. Includes policy templates, training materials, and audit support.

Success Stories

Related Case Studies

See how we've helped other clients achieve their goals with similar services.

Enterprise AI Risk Management Framework

Regulatory Compliance for AI Systems

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