AI Readiness Framework

An AI Readiness Framework is a preparedness framework that enables organizations to assess and develop their capabilities for AI system implementation and management.

• AKA: AI Preparation Framework, AI Implementation Readiness, AI Capability Framework.
• Context:
  • Framework Input: Organizational Requirements, Technical Capabilitys, Resource Availability
    • Optional Input: Industry Standards, Regulatory Requirements
  • Framework Output: Readiness Assessment, Implementation Plan, Gap Analysis
  • Framework Performance Measure: Readiness Level, Implementation Success, Risk Mitigation
  • ...
  • It can assess Technical Readiness through capability evaluation and gap analysis.
  • It can guide Resource Planning through requirement assessment and allocation strategy.
  • It can establish Implementation Process through structured approach and phase planning.
  • It can ensure Safety Compliance through protocol development and standard adherence.
  • It can support Risk Management through assessment methodology and mitigation strategy.
  • ...
  • It can often require Stakeholder Engagement through communication plans.
  • It can often need Staff Training through skill development programs.
  • It can often involve Process Adaptation through change management.
  • It can often demand Continuous Monitoring through progress tracking.
  • ...
  • It can range from being a Basic Assessment Tool to being a Comprehensive Framework System, depending on its scope level.
  • It can range from being a Technical Focus Framework to being an Enterprise-Wide Framework, depending on its coverage area.
  • It can range from being a Short-Term Readiness Plan to being a Long-Term Readiness Strategy, depending on its timeline scope.
  • It can range from being a Departmental Framework to being an Organization-Wide Framework, depending on its implementation breadth.
  • ...
  • It can integrate with Quality Systems for standard compliance.
  • It can connect to Project Management for implementation tracking.
  • It can support Change Management for organizational adaptation.
  • It can enable Performance Monitoring for progress assessment.
  • ...
• Examples:
  • Assessment Components, such as:
    • Technical Evaluations, such as:
      • Infrastructure Assessment for system capability.
      • Data Readiness Evaluation for information management.
    • Organizational Assessments, such as:
      • Process Maturity Review for operational readiness.
      • Skills Gap Analysis for workforce capability.
  • Implementation Approaches, such as:
    • Phased Deployments, such as:
      • Pilot Implementation for initial testing.
      • Scaled Rollout for full deployment.
    • Integration Strategys, such as:
      • System Integration Plan for technical alignment.
      • Process Integration for operational alignment.
  • ...
• Counter-Examples:
  • General Business Framework, which lacks AI-specific considerations.
  • Technology Implementation Plan, which focuses on deployment rather than readiness.
  • Operational Process Framework, which addresses current operations rather than future capability.
  • Change Management System, which manages organizational change rather than technical readiness.
  • Project Management Framework, which guides project execution rather than capability preparation.
• See: AGI Preparedness, AI Implementation Strategy, Organizational Readiness, Technical Framework, Capability Assessment, Implementation Methodology, Change Management Framework, Risk Assessment System.

---