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AI Readiness Assessment

Find out if your company is prepared to integrate AI. Evaluate your data, culture, and infrastructure in under 2 minutes.

1. Data Infrastructure: Where does your company currently store its primary business data?

Spreadsheets and local files Siloed cloud applications (CRM, ERP, etc. disconnected) Centralized database or standard Data Warehouse Real-time data pipelines or Data Lake infrastructure

2. Data Quality: How would you describe the cleanliness and reliability of your data?

Lots of duplicates, missing fields, highly inconsistent Generally okay, but requires manual cleanup before use Mostly clean with basic automated validation in place Highly structured, governed, and mathematically accurate

3. Leadership Buy-in: How supportive is executive leadership of AI initiatives?

Skeptical, unaware, or resistant to change Interested in AI buzz, but uncommitted financially Supportive with some budget and time allocated Actively driving the initiative with dedicated resources

4. Talent & Skills: Does your team have the technical skills to manage data and AI?

No dedicated technical staff General IT staff, but no specific data specialists Data analysts or reliable external consultants Dedicated internal data scientists and engineers

5. Budget & Resources: Estimated budget for AI tools and implementation in the next 12 months?

Under $5,000 $5,000 - $20,000 $20,000 - $100,000 Over $100,000

6. Use Case Clarity: Do you have a specific business problem you want AI to solve?

No, just exploring what AI can do Vague ideas (e.g., "automate things") Specific pain points identified Clear, measurable problem with expected ROI defined

Your Readiness Score

Beginner

Action Plan

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