AI adoption readiness score
A single headline score for how ready the organization is to safely scale AI.
Formula
AI readiness composite
weighted composite of ownership, decision, information, platform, governance, and AI oversight readiness
Unit
score
Direction
Higher is better
Cadence
Before AI scale decisions and quarterly during rollout.
Worked Example
AI scale-readiness review.
Ownership
73
Decision
66
Information
69
Platform
62
Governance
71
AI oversight
58
Calculation
Average of six readiness contributors
Result
66.5
Interpretation
AI readiness is risky, with AI oversight and platform structure as the weakest contributors.
Recommended action
Improve the weakest layer contributors before scaling autonomy.
Why it matters
This metric helps leaders see whether the ai amplification layer is healthy enough to support execution and AI readiness.
What it reveals
Whether the foundation layers are mature enough to support responsible AI adoption.
Manual assessment method
Assess ownership, decisions, information, platforms, governance, and AI oversight together instead of treating AI readiness as a purely technical question.
Lapemo calculation path
Live through the readiness scoring service that blends foundation layer maturity and AI layer constraints.
Interpretation Bands
Healthy
85-100
Strong operating foundation.
Watch
70-84
Adequate with visible improvement areas.
Risk
50-69
Weak foundation; inspect the lowest layer contributors.
Critical
<50
Material execution or AI-readiness risk.
Required inputs
- Ownership score
- Decision score
- Information score
- Platform score
- Governance score
- AI oversight score
Data sources
- AI readiness diagnostic
- LPM diagnostic
- Knowledge Objects
- Operating review
Common pitfalls
- Treating readiness as an AI-tool assessment only
- Ignoring layer caps
Recommended actions
- Improve weakest layer
- Set scale gates
- Reassess after remediation
Measure Before You Scale
Measure the operating model before AI amplifies it.
Use the Metrics Library to understand what to diagnose, what to monitor, and where Lapemo can turn framework metrics into operating intelligence.
