What is your data actually capable of?
Answer 15 questions and get your AI Data Readiness Score in minutes — benchmarked against the mid-market, with the seven-dimension breakdown and the gaps most likely to derail your next AI investment. Emailed to you straight away, with a director-reviewed one-pager to follow.
What your score measures — and why each dimension can kill an AI initiative.
Data Capture
Whether the data your AI ambition depends on is being collected at all, at the right points in the process. The most common failure: discovering mid-pilot that the critical signal was never recorded.
Data Quality
Completeness, accuracy, duplicates, and consistency across systems. Models trained on records nobody reconciles learn from phantom customers and stale facts.
Governance & Trust
Defined ownership, a source of truth, and — critically — whether leaders actually trust the numbers. Untrusted data means unadopted AI, no matter how good the model.
Architecture
Whether your systems and pipelines can feed AI use cases — or whether every initiative starts with months of unplanned integration work.
Security & Access
Data available to the people and models that need it, protected from those that don't. GenAI initiatives stall here more than anywhere else.
AI Alignment
Whether your AI use cases are tied to measurable business value — or chosen because a vendor demoed something impressive.
Operating Model
The people, processes, and leadership needed to act on what AI produces. Readiness isn't only a data property — it's an organizational one.
The free assessment scores your declared responses. The paid AI Data Readiness Assessment verifies them with evidence — interviews, the perception gap across your leadership, and profiling of your critical data elements. See the full assessment →
What you receive — free
- Your AI Data Readiness Score and readiness band, benchmarked against the mid-market
- Three flagged risks, each tied to its likely business consequence
- A recommended first move — even if it's “you don't need AI yet”
- The option of a director-reviewed one-page readout, sent on request