State AI Readiness
AI readiness begins before procurement—with the quality, structure, continuity, and governance of the state’s own information.
State AI readiness is the institutional capacity to publish, govern, resolve, update, and evaluate public information in environments where AI systems increasingly mediate public understanding.
Why This Matters
States can purchase AI tools while their underlying public records remain fragmented, outdated, inconsistently defined, or difficult to resolve. That creates a weak foundation for both internal automation and public-facing AI.
Three Institutional Principles
These principles define the minimum structural conditions required for a durable, authoritative, and machine-readable state record.
Information Readiness
Assess the identity, provenance, continuity, accessibility, structure, and update practices of high-value public records.
Governance Readiness
Define responsibility, human review, correction pathways, disclosure, risk boundaries, and public accountability.
Operational Readiness
Prepare agencies, staff, systems, vendors, records, and public communications for continuous AI-mediated use—not a one-time deployment.
What Stronger Infrastructure Makes Possible
A stronger foundation for responsible AI adoption
Clearer agency roles and governance boundaries
Reduced risk from fragmented or outdated source information