Enterprise Assessment · Data-Sleek
Enterprise AI Readiness
Scorecard
A 5-Pillar Diagnostic for Production-Ready AI — evaluate your organization’s AI maturity across governance, technology, data infrastructure, business impact, and talent.
88%
of AI pilots never reach production
95%
of failures trace to data readiness gaps
20%
of companies achieve significant ROI
AI success is not about experimentation. It’s about readiness.
Instructions
How This Scorecard Works
This scorecard evaluates your organization across five foundational pillars of AI readiness. It is not a theoretical benchmark — it is a production viability check designed to surface the gaps that derail AI initiatives before they reach deployment.
01
Complete all 25 statements — 5 per pillar. Score each from 1 (not in place) to 5 (fully embedded).
02
Calculate your average score for each pillar by summing the five scores and dividing by 5.
03
Calculate your Overall AI Readiness Score by averaging your five pillar scores.
04
Locate your score on the maturity scale and read your recommended next steps.
05
Identify your lowest-scoring pillar — this is your highest-priority production risk.
Scoring Scale
1
2
3
4
5
1Not in place
2Early stages
3Partially defined
4Largely embedded
5Fully embedded
Important: The five pillars are not independent. A score of 4 on Technology with a score of 1 on Governance is not a net 2.5 — it is a governance failure waiting to happen. Your lowest pillar score represents your highest production risk, regardless of your overall average.
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