AI Readiness Assessment
10 questions. Know exactly where you stand with AI.
- No signup required
- 100% free
- ~4 min
Step 1 of 1010%
How would you describe your data quality?
Think about how your data is stored and organized
How it works
Evaluates your organization across 10 dimensions — data quality, infrastructure maturity, team expertise, process readiness, leadership alignment, and more.
Frequently Asked Questions
- You need three things: clean, accessible data; technical infrastructure that can support model deployment; and at least one executive sponsor who understands the investment timeline. This assessment evaluates all three plus four additional dimensions.
- Data quality. Most organizations have data spread across siloed systems in inconsistent formats. Before any AI initiative, invest in consolidating and cleaning your data — this single step can cut AI project costs by 30–40%.
- Yes — especially with pre-trained models and APIs. Small companies don’t need massive datasets or ML teams. Start with off-the-shelf AI services (ChatGPT API, cloud vision APIs, etc.) and focus on a single high-impact use case.