Microsoft’s 2026 Work Trend Index for India found 32% of Indian AI users qualify as “Frontier Professionals” — actively redesigning work around AI agents — double the 16% global average. Among Indian users, 63% prioritise quality control of AI output and 59% rank critical thinking as a top skill.
Underneath the numbers is one signal: “uses AI” is no longer one thing. Organisations now have to tell an AI user from an effective AI worker from an AI-native professional — different people, different value, different risk.
This is why we treat AI readiness as a ladder, not a score. Our maturity model runs across six levels — L0 Non-user · L1 Assisted · L2 Productive · L3 Critical · L4 Orchestrator · L5 Work Designer — because the value of an “AI user” depends entirely on where they sit on it.
So the answer stops being “AI assessment score = 82” and becomes “L2 → L4 in six months” — a movement you can set targets against, coach toward, and prove. GoMeasure measures AI capability by level from demonstrated work, then re-measures over time, so leadership sees the climb, not a single snapshot.
GoMeasure places each employee and team on the AI-readiness levels from demonstrated work — not a quiz — and re-measures to show movement between them, so L&D and leadership can target “move this cohort L2 → L4” and verify it actually happened.