How do you measure AI readiness?
The answer
Score your company across seven dimensions: strategy, data, governance, talent, infrastructure, operations, and culture. Each one gets a score. Weight them by business impact. The three lowest scores tell you exactly where your AI money is being wasted. Fix those first.
Source: SynthesisArc, 2026
The full picture
A proper AI readiness measurement is a multi-dimensional scorecard, not a single number. Every organization is strong in some dimensions and weak in others, and the weak dimensions determine what's actually possible.
The measurement process: (1) interview operational leaders to map decisions that matter, (2) audit data quality against those decisions, (3) evaluate governance artifacts (policies, audit trails, incident response), (4) assess talent capability, (5) measure infrastructure capacity, (6) check operational fit, (7) gauge cultural readiness through structured team interviews.
The output is a composite readiness index plus a prioritized opportunity list. An organization at 72/100 with weak governance but strong data can move fast on low-stakes automation while investing in governance for high-stakes deployment.
SynthesisArc's free AI Readiness Snapshot uses this methodology in a 13-question form. The INSIGHTS assessment goes deeper, with a two-week engagement that produces a dollar-valued roadmap.
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