Case
AI Project Failure Risk Scorecard
Discover whether your AI initiative has the data, ownership, controls and operational foundations required to succeed — before you invest further.
In about 10 minutes, this assessment scores eight common sources of AI project failure and returns a prioritised, evidence-checked readiness report.
24
scored questions
8
weighted risk domains
11
classification overrides
What this assessment covers
Business problem and use-case definition15%
Value and success measurement10%
Data suitability and quality20%
Data access and integration10%
Ownership and accountability10%
Metadata, lineage and provenance10%
Privacy, security and responsible use15%
Workflow, adoption and continuous monitoring10%
Before you begin, tell us a little about the context
Answer choices describe realistic states of your programme — there is no need to guess at a "correct" answer.