Based on our AI Readiness Audits with over 1,000 executives, this report uncovers the real blockers, enablers, and patterns that determine AI success.
Vision-rich, plumbing-poor. Strong executive intent and modern SaaS systems, but weak data infrastructure and fragmentation issues.
Regulated or conservative industry. Prioritizes governance, risk management, and security above experimentation. Has formal AI policies but struggles to move quickly.
Broad support for AI experimentation, but no central strategy. Employees use GPTs and copilots, but without roadmap, upskilling, or coordination.
Deliberate infrastructure-first approach. Strong central IT/data team focused on consolidating data, establishing AI gateways, and building enterprise agent platforms.
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