Enterprise AI Readiness Assessment
Score your organization's AI readiness across 8 dimensions in 2 minutes — and get the top focus areas to close the gaps.
0/8 answered — complete all to see your readiness score.
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What this tool does
The Enterprise AI Readiness Assessment is an eight-question self-check for teams that are planning their first production AI system, or trying to explain why earlier pilots stalled. Each question covers one dimension: strategy, sponsorship, data, infrastructure, team skills, governance and security, metrics and ROI, and production delivery.
It answers a narrow question: given what you know today, where are your biggest gaps? You get a score out of 100, a readiness level, and up to three focus areas with a suggested first step for each. It is a conversation starter for a planning meeting, not an audit.
How it works
Every question has four answers worth 0, 1, 2 or 3 points, so the maximum raw score is 24. Results appear only after all eight questions are answered. The raw score is converted to a percentage and matched to a level by fixed thresholds.
- Raw score
- raw = sum of the eight answer scores (0 to 24)
- Readiness score
- pct = round(raw / 24 * 100)
- Level
- 0-39 Exploring, 40-64 Developing, 65-84 Ready, 85-100 Advanced
- Focus areas
- questions scored 0 or 1, lowest first, at most 3 (ties keep question order)
What it assumes
- All eight dimensions carry equal weight. A 0 on governance counts the same as a 0 on infrastructure, even though one may block your project more than the other.
- The answers are your own judgement, and the tool does not check them. The thresholds and the tip text are the author's opinion, not an industry standard or a benchmark.
- A dimension scored 2 or 3 never appears as a focus area. If every answer is 2 or 3, the focus list is empty.
- The tool does not store or send your individual answers. Each time you finish all eight questions it sends one Vercel Analytics event whose properties are only your level and score (retaking and finishing again sends another).
Worked example
An illustrative team has one clear priority use case and a reasonably modern cloud setup, but little else is in place yet.
| Input | Value |
|---|---|
| Strategy | One clear priority use case (2) |
| Sponsorship | Interest, but no budget (1) |
| Data | Accessible but messy (1) |
| Infrastructure | Cloud-native with CI/CD (2) |
| Team and skills | A couple of curious engineers (1) |
| Governance and security | Not considered yet (0) |
| Metrics and ROI | Vague goals (1) |
| Production delivery | Prototypes only (1) |
- raw = 2 + 1 + 1 + 2 + 1 + 0 + 1 + 1 = 9
- pct = round(9 / 24 * 100) = round(37.5) = 38
- 38 is below 40, so the level is Exploring.
- Scores of 0 or 1: Governance (0), Sponsorship (1), Data (1), Team (1), Metrics (1), Delivery (1). Sorted lowest first with ties in question order, the first three are Governance, Sponsorship and Data.
38/100, level Exploring, with focus areas Governance and security, Sponsorship, and Data.
Frequently asked questions
- What do the four levels mean?
- They are labels for score bands: Exploring (0-39), Developing (40-64), Ready (65-84) and Advanced (85-100). In raw points, Developing starts at 10 of 24, Ready at 16 and Advanced at 21. They describe how many foundations you reported, not whether a project will succeed.
- Why don't I see any focus areas?
- Focus areas come only from questions you answered 0 or 1. If all eight answers were 2 or 3, there is no clear gap by this tool's rules, though that does not mean there is nothing left to improve.
- Is this a formal maturity model or benchmark?
- No. It is a short, vendor-neutral checklist with equal weights and no comparison against other organizations. Treat it as a way to structure a discussion, and verify the weak spots with the people who own those areas.
- Are my answers saved or shared?
- Your individual answers stay in the page and are not sent anywhere. On completion the page sends one analytics event (Vercel Analytics) whose properties are your level and score. The newsletter box after the results is optional and separate.
- What should I do with the result?
- Start with the lowest-scoring dimension, the first focus area listed, and close that gap before building. The guides below cover data readiness, ROI and the production failure patterns behind several of these questions.
Read the guide
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