AI Readiness Self-Assessment

  • AI Readiness Self-Assessment

    AI readiness is an organization’s preparedness to responsibly adopt and scale artificial intelligence. It requires a clear AI strategy aligned to business goals; high-quality data and data infrastructure; cloud/compute resources; and the technical skills to build, deploy, and operate models. Strong governance and risk controls (privacy, security, bias mitigation, and compliance), ethical guidelines, and clear ownership are essential. Equally important are change management, leadership commitment, and a culture that adapts to AI-driven ways of working.
  • Format: (000) 000-0000.
  • I understand the four levels of AI initiatives and the effort and resources required for each level.*
  • I understand our data sources, their quality, and how AI will use this data.*
  • I can adjust the AI readiness plan based on the intended level of AI implementation.*
  • I can identify and measure the impacts, pain points, and benefits that AI will deliver.*
  • I have a plan for documenting and managing data inputs and outputs, including metadata and lineage.*
  • I understand the governance guardrails required to minimize AI-related risks (privacy, security, bias, compliance).*
  • I have a change management strategy to address impacts on people, products, processes, and culture.*
  • I have templates and assessment tools to evaluate AI impacts and can analyze the resulting data.
  • I have a change management strategy to address impacts on people, products, processes, and culture.
  • I have a communication strategy to inform and engage stakeholders about how AI will affect them.
  • I have developed the emotional intelligence and leadership skills needed to complement technical capabilities and successfully implement AI initiatives.
  • Should be Empty: