AI Capability Maturity Scorecard
A structured snapshot of where the organization stands on its AI journey today, and the target state to aim for. Each dimension is scored independently on a 1–5 scale; the gap between baseline and target drives the roadmap.
How the Scorecard Works
01. Score Independently
Rate each of the seven dimensions 1–5 against the maturity criteria. Use half-points (e.g. 2.5) where the organization sits between two levels.
02. Record the Evidence
Every score is backed by a concrete observation, such as a policy, a pilot count, or a platform, not a gut feel.
03. Set a Target
Typically one to two levels above baseline, chosen deliberately rather than defaulting to "as high as possible."
04. Take the Weakest Link
Overall maturity is the lowest-scoring dimension, not the average, because that capability caps what the organization can reliably achieve.
Five Levels of Maturity
Each level builds on the last, from individual curiosity to an AI-native operating model where the capability itself is the competitive advantage.
Level 1
Exploring
Ad-hoc, individual curiosity. No strategy or sponsorship.
Level 2
Experimenting
Pilot projects, emerging sponsorship, fragmented effort.
Level 3
Operationalizing
AI in production; defined process and formal governance.
Level 4
Scaling
Enterprise-wide platform, CoE, reuse and standardization.
Level 5
Transforming
AI-native operating model; a core competitive advantage.
Seven Dimensions
Each is scored on its own. A strong strategy can't offset weak governance, and a talented team can't offset unmeasured value.
Next step
Walk Through Your Results With Us
Share a few details below and we'll set up a time to go through your results together, what they mean, and what closing the gap would actually involve for your organization.
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