Emerging
62of 100 Overall score 62 out of 100, tier Emerging.
A snapshot of where your organization is today across four foundations of AI readiness — a self-diagnostic, not a grade and not a benchmark against anyone else. Use it to decide what to strengthen first.
Readiness dial
Node size & color scale with score
- Nascent 0–39
- Developing 40–59
- Emerging 60–79
- Advanced 80–100
By dimension
The same scores as the dial, in full — this table is the source of record.
| Dimension | Score | Tier |
|---|---|---|
| Data FoundationData exists but is siloed — cleanup and access come before models. | 58 / 100 | Developing |
| AI Strategy & Use CasesClear candidate use cases; prioritize one to prove value fast. | 71 / 100 | Emerging |
| Team & SkillsStrong product instincts; AI/ML delivery muscle is the gap to close. | 49 / 100 | Developing |
| Tooling & InfrastructureModern stack in place; add the ML/serving plumbing to ship. | 70 / 100 | Emerging |
| Overall | 62 / 100 | Emerging |
Recommended next step
Your fastest path is to close the Team & Skills and Data Foundation gaps while your strategy is hot. The team that shipped for Apple, Disney, and Meta can pair senior engineers with your product to prove one AI use case in weeks — beyond the code, into production.
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