Transform your AI risk management with a process-based methodology that addresses compliance, reduces risk, and maintains high performance standards.

Drive AI Excellence with Comprehensive Risk Management

The AI Assurance Process provides organizations with a robust framework to implement, monitor, and maintain AI systems while focusing on regulatory compliance and maintaining high performance standards. Built on proven methodologies and aligned with industry standards, the process helps organizations navigate the complexities of AI deployment with confidence.

Strategic Framework

Three essential pillars builds comprehensive coverage of your AI system lifecycle:

  • Assurance Process Management

    • Systematic approach to risk identification
    • Clear governance structures
    • Comprehensive documentation protocols

  • System Characterization

    • Detailed analysis of AI components
    • Integration assessment
    • Performance benchmarking

  • Life Cycle Assurance Implementation

    • Continuous monitoring protocols
    • Regular assessment schedules
    • Adaptive improvement processes

NIST Alignment

The framework aligns with the NIST AI Risk Management Framework, ensuring your organization meets the highest standards:

  • GOVERN: Defines and cultivates the compliance environment
  • MAP: Identifies AI system context and associated risks
  • MEASURE: Establishes metrics and testing protocols
  • MANAGE: Prioritizes risks and actions based on projected impact

Technical Excellence

The comprehensive technical framework ensures thorough coverage of all critical aspects:

Testing Framework

  • Black-box testing on AI models
  • Algorithm and component plugins
  • API-based model connectivity

Compliance Verification

  • 85 testable criteria across 11 process checklists
  • ISO 42001 and AI RMF compliance
  • ONC’s (b)(11) risk requirement satisfaction

Core Principles Focus

  • Fairness assessment
  • Robustness verification
  • Explainability analysis

Comprehensive Reporting

Generate detailed insights that drive informed decision-making:

  • Process checklist results
  • Technical testing outcomes
  • Customizable reporting widgets
  • Regulatory compliance documentation
  • ONC’s (b)(11) report summaries

Risk Management Through MLOps

Ensure ongoing risk management with MLOps integration:

  • Managed service options
  • Build-your-own solutions
  • Production model monitoring tools
  • Real-time performance tracking

Why Choose an AI Assurance Process?

  • Comprehensive Coverage: End-to-end risk management and compliance assurance
  • Flexible Implementation: Choose between manual and augmented processes
  • Industry Alignment: Full compatibility with NIST and ISO standards
  • Scalable Solutions: Grows with your AI implementation
  • Expert Support: Access to specialized knowledge and tools

Transform Your AI Risk Management Today

Contact me to learn how our AI Assurance Process can help your organization maintain compliance and excellence in AI deployment.