Theory
AI resilience score
Test what remains scarce after a competitor gains better models, tools, and engineering capacity. The score reviews dimensions such as proprietary data, legal rights, and workflow control, supports each score with a source and contrary case, and rejects resilience that depends only on today's model weakness.
Dimensions
Review proprietary data, exclusivity, customer access, approvals, physical position, legal rights, workflow control, trust, distribution, history, infrastructure, feedback, and know-how.
Evidence
Support each score with a source, contrary case, likely decay event, and review date.
Failure case
Reject resilience that depends only on today's model weakness, high labor cost, or poor integration.