AI Readiness Wizard

Technology & data strategy

Have you identified relevant data sources aligned to your AI use cases?

Limited awareness of data sources.
Data access plan in development.
Plan implemented, data being collected.
Data governance framework in place.
Well-established governance framework with continuous monitoring and optimization.

Have you established a security protocol to protect your data, digital assets, and infrastructure?

Limited awareness of security best practices.
Starting to develop a data safeguard plan.
Essential data security controls implemented.
Mature data security framework in place.
Strong data security posture continuously monitored.
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AI strategy & experience

Do you have an approach to identify the AI models best suited for your prioritized use cases?

No formal process for selecting AI models.
Potential use cases identified; model selection based on data and outcomes.
Models selected and evaluated for each use case.
Successful models deployed and evaluated continuously.
Well-defined process for model selection and improvement.

How diverse are the roles and experiences of people involved in AI projects?

No dedicated AI team.
Plan to build a dedicated team.
Initial AI team in place.
Well-established team with diverse skills.
Highly skilled team actively champions AI.
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Organization & culture

How effectively has company leadership communicated your vision and the importance of AI for the future of the business?

No clear communication from leadership about AI.
Leadership acknowledges AI potential, no clear vision.
Leadership has communicated a vision; initiatives underway.
Leadership strongly advocates AI; company-wide understanding.
Leadership cultivates an AI-driven culture of innovation.

How readily available are AI skilling and credentialing resources?

No formal program for developing AI skills.
Plan in development to make AI skilling resources available.
Initial AI skilling programs offered.
Comprehensive AI skills development program in place.
Continuous learning culture for AI expertise.
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AI governance & security

How effective are the controls that are in place to ensure the transparency, explainability, and interpretability (TEI) of AI tools and results?

No formal TEI controls.
Plan in development for TEI controls.
Initial TEI controls in place.
Well-established TEI controls implemented.
Leader in TEI practices for AI development; TEI is a core principle for AI innovation.

At what level are systems and processes in place to inform users of applicable use cases of the AI model or tool, expected performance metrics, and limitations?

No formal processes for user transparency.
Plan in development for user communication.
Initial communication processes in place.
Well-established communication plans implemented.
Leader in user-centric AI development.
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Your AI readiness score: