Why an AI Readiness Assessment Matters

As AI technology becomes more advanced and organizations face growing demands with limited resources, thoroughly assessing readiness before initiating projects is more critical than ever to ensure successful deployment and maximize value.

AI project failures are often linked to poor project management and planning. The main challenges include insufficient alignment with stakeholders, ineffective management of change and risk, and the absence of strong data management strategies. Many organizations struggle with planning, and even when AI projects are delivered on time, they often fail to meet the expected business outcomes. This is exacerbated by a shortage of skilled personnel and ineffective communication between teams”

 From the IBM newsroom

Our AI Readiness Assessment will:

  • Identify use cases and their business value to ensure proper prioritization
  • Focus beyond technology, to include organizational culture and business problems
  • Assess quantity, quality and accessibility of data and infrastructure required for AI projects
  • Identify areas of strength, and improvements needed to ensure success of AI projects

Move beyond departmental and pop-up deployments of AI to gain an organization-wide perspective that will:

  •  Reduce risk by addressing governance and security of AI projects
  • Increase adoption through improved stakeholder understanding and buy-in for AI initiatives
  • Prioritize use of resources to achieve maximum business return
  • Define project goals and success criteria

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