The AI Readiness Program’s 5 Core Components

  • Agile Governance
  • Risk Informed System
  • Risk Based Strategy and Execution
  • Responsible AI
  • Risk Escalation and Disclosure

Our Program is built on five foundational pillars, with each pillar subdivided into 25 critical domains mapped to multiple standards (e.g. ISO 42001, NIST AI RFM, SEC), regulations, and case law, covering key aspects such as transparency, data privacy,explainability, and accountability. The five pillars include a holistic structure ensure your AI initiatives are secure, compliant, and primed for rapid, strategic growth

  1. Enterprise-Wide AI Governance Policies
  2. Clear Roles, Responsibilities, and Training
  3. Integration with Broader Enterprise Risk Frameworks
  4. Integration with Broader Enterprise Risk Frameworks
  5. Board Defined Scope and Active Oversight
  6. Audit Processes and Continuous Governance Improvement
  7. Resource Alignment and Capability Building

  1. Standardized AI Risk Assessment Framework
  2. Defined Risk Appetite and Thresholds
  3. Comprehensive AI Risk Mapping
  4. Periodic Risk Assessments and Transparent Reporting

  1. Model Risk Management
  2. Data Governance & Risk Management
  3. AI Agent Management and Accountability
  4. Prompting Guardrails & Iterative Fine-Tuning Protocols
  5. Enhanced Explainability & Comprehensive Transparency
  6. Adversarial Robustness & AI Cybersecurity
  7. Adversarial Robustness & AI Cybersecurity
  8. Comprehensive Assurance & Testing

  1. Risk-Based Strategic Planning and Budget Alignment
  2. Execution of AI Initiatives to Meet Risk Thresholds
  3. Continuous Monitoring and Performance Metrics
  4. Third Party and Ecosystem Risk Management

  1. Regular Testing and Auditing of Escalation Processes
  2. Transparent Risk Disclosure Processes
  3. Structured Risk Escalation Protocols

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