AI Readiness Assessment

"Advanced" means you have solid AI foundations and can execute production projects. "Leader" means AI is strategic - embedded in culture, processes, and strategy. Most companies should target "Advanced" as their initial goal (takes 8-12 months), then progress to "Leader" over 2-3 years.

Time depends on your starting point and resource investment. From "Beginner" to "Advanced" typically takes 6-12 months. The most critical path: establish data governance (8-12 weeks) + hire/train data talent (4-8 weeks) + build a pilot AI project (8-12 weeks). Your 90-day action plan shows what's achievable in the first quarter.

Not necessarily. Many companies improve their People score through: hiring 1-2 specialized roles, training existing team members, partnering with vendors/consultants, and hiring a fractional Chief AI Officer (CAO). The recommendation section suggests which approach fits your situation best.

This assessment measures readiness, not a guarantee of success. High readiness (75+) correlates with 85% project success. But success also depends on: executive commitment, clear use case selection, quality of talent, and project execution. We recommend using this as the first step in a larger AI strategy engagement.

We recommend retaking it every 6 months to track progress. After implementing recommendations from this assessment, retake it in 90 days to validate improvements and adjust your roadmap. Most customers see 10-15 point increases per quarter in early stages.

This is actually common. Uneven scores reveal where to prioritize resources. In your example, you'd focus on talent/team building while leveraging strong infrastructure. Our recommendation engine prioritizes "quick wins" in weak areas that have high impact.

Absolutely. You can interpret this assessment as "readiness to implement [specific project]" rather than company-wide AI. For example, a chatbot project needs strong data quality (pillar 1) and reasonable technology infrastructure (pillar 2), but less strategic maturity.