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AI READINESS DIAGNOSTIC
Strategy & Use Case Clarity
We have clearly defined the business problems AI should solve
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We know which departments or workflows would benefit most from AI
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We have prioritized AI use cases based on business impact, not hype
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We understand what success would look like if AI worked well
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We have identified what should NOT be automated or delegated to AI
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Budget & Cost Awareness
We understand AI costs go beyond simple subscriptions
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We have considered usage-based costs like tokens or API calls
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We have budget allocated for training, implementation, and iteration
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We understand how employee usage impacts AI cost
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We have a plan to measure ROI before scaling AI
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Employee Reality Check
We know where employees lose the most time daily
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We have asked employees about repetitive or manual tasks
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We understand where teams are creating workarounds
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Employees feel comfortable sharing inefficiencies or frustrations
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We know which roles would benefit from AI first
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Leadership & Adoption Readiness
Leadership understands how AI will impact workflows
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Leaders are aligned on how AI should be used
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Managers are prepared to guide their teams through AI adoption
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Leadership reinforces AI usage and adoption consistently
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We have identified internal AI champions
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C-Suite Alignment
Our executive team agrees on why AI matters to the business
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We have defined AI priorities for the next 6–12 months
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We understand the risks of scaling AI too quickly
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We have discussed governance, risk, and accountability
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AI decisions are made strategically, not reactively
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Data Readiness
Our data is clean and accurate
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Our data is accessible across systems
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We have addressed duplicate or inconsistent data
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We know where our most valuable data lives
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We trust the data used for decision-making
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Process Readiness
Our core workflows are documented
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Processes are followed consistently across teams
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We know which workflows need improvement before automation
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We focus on solving root problems, not layering fixes
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Our operations can scale without breaking
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Security & Governance
We have clear guidelines for AI usage
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We understand risks of using public AI tools
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We have policies for sensitive or proprietary data
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We know who approves AI tools and workflows
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We monitor AI usage and compliance
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Training & Upskilling
Employees receive role-specific AI training
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Training is based on real workflows, not theory
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Employees understand when to use AI vs. not
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Teams share what is working and what is not
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We are actively building AI confidence across the organization
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Measurement & ROI
We have defined measurable outcomes for AI initiatives
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We track time saved or efficiency gains
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We track revenue or cost impact from AI
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We regularly review AI performance
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We can clearly connect AI usage to business results
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