The Deep Diagnostic
The Assessment told you where you stand. This Scorecard tells you why — and what to fix first.
AI doesn't fail in the abstract. It fails somewhere specific: a strategy nobody aligned on, data nobody can trust, systems that can't connect, or a team that was never brought along. Sixteen statements, scored honestly, produce your readiness profile across the four areas where AI initiatives are won or lost.
Strategic Alignment
Are AI initiatives tied to real business objectives, championed by leadership, and measured against clear outcomes?
Data Readiness
Is your data accurate, centralized, and maintained — or scattered across inboxes and spreadsheets nobody trusts?
Technical Infrastructure
Can your systems connect to AI tools without heavy custom development? Do you have someone who can handle integration work?
Culture and Skills
Is your team curious and supported, or anxious and compliance-only? Is there at least one internal champion driving adoption forward?
Bring your leadership team's answers, not just your own. The gaps between how leaders score the same statement are often the most valuable finding in the whole exercise.
Reading Your Profile
Average your four statements within each dimension to get a score from 1.0 to 5.0. Your four scores form your readiness profile.
Needs Foundation
This dimension isn't ready to support AI work yet. Focus here before investing in tools that depend on it.
Developing
Basic groundwork exists, but the gaps will surface under real workloads. Strengthen deliberately.
Strong
This dimension can support active AI initiatives today.
Start with your weakest dimension — low scores are a prioritization signal telling you where to focus first, not a reason to pause.
Haven't Taken the Assessment Yet?
The AI Readiness Assessment gives you a single overall score across twelve questions before you go dimension-by-dimension. Start there if you want the big picture first.
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