Alset Advisory
AI Maturity Fingerprint
Fifteen questions, about two minutes. You'll get an indicative read of where your organization stands across people, process, and technology — and where AI value is most likely leaking.
People
We have a funded AI strategy tied to specific business outcomes.
A senior leader is clearly accountable for AI.
AI skills are developed by role/persona, not one-size-fits-all.
Our people apply AI on real work, not just awareness training.
We can measure our workforce's AI proficiency.
Process
We have a defined way to take AI from idea to production and monitoring.
AI tools we deploy actually get adopted into daily workflows.
We risk-assess AI use cases before they go live.
AI in production has guardrails, testing, and human oversight.
We're ready for AI-relevant regulation and responsible-AI expectations.
Technology
Our data is accessible, governed, and good enough for AI.
We have controls against data leakage and “shadow AI”.
We can deploy and monitor models reliably.
We build a value case before investing in an AI initiative.
We track realized AI value after deployment — including cost and error/rework.