AI Readiness Assessment

1. How would you describe the state of your business data?

Mostly on paper or scattered across spreadsheets Digitized but siloed across separate systems Centralized in a few core systems, inconsistently structured Centralized, structured and reasonably clean

2. How much of your core workflow is already automated?

Almost entirely manual A few scripts or rules-based tools Meaningful automation in one or two workflows Automation is standard practice across teams

3. What best describes your technical infrastructure?

No dedicated engineering or IT team Small IT team, mostly maintaining existing systems Engineering team capable of shipping new systems Mature engineering org with cloud-native infrastructure

4. How well-documented are your business processes?

Mostly tribal knowledge Partially documented, inconsistently followed Documented for critical workflows Documented, measured and regularly reviewed

5. Has your organization used AI or ML tools before?

No prior use Experimented with off-the-shelf AI tools Deployed at least one AI/ML feature in production AI/ML is embedded in multiple products or workflows

6. How would you describe leadership buy-in for AI initiatives?

Curious but no committed budget Budget approved for a pilot Active AI roadmap with committed resources AI is a stated strategic priority company-wide

Question 1 of 6

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AI Readiness Assessment

Strengths

Improvement Areas

Recommended AI Priorities

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