Decision confidence score
Model confidence on AI-involved decisions, measured against the required gate.
Formula
Confidence against gate
AI/model confidence score compared with required decision gate
Unit
score
Direction
Higher is better
Cadence
Every AI-assisted decision above low risk.
Worked Example
AI-assisted vendor-risk recommendation.
Model confidence
0.82
Required gate
0.90
Calculation
0.82 compared with 0.90 required gate
Result
Below gate by 0.08
Interpretation
The decision requires human review or additional evidence.
Recommended action
Do not automate the action until the gate is met or reviewed.
Why it matters
This metric helps leaders see whether the decisions layer is healthy enough to support execution and AI readiness.
What it reveals
Whether AI-supported decisions meet the confidence level required for action.
Manual assessment method
For AI-assisted decisions, compare confidence, evidence, human review, and required approval threshold.
Lapemo calculation path
Supported for AI-involved decisions where confidence scores and decision gates are present.
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
- Model confidence
- Decision risk tier
- Required gate
- Evidence completeness
Data sources
- AI decision record
- Governance gate
- Evidence register
Common pitfalls
- Treating confidence as correctness
- Ignoring risk tier
- Not checking evidence quality
Recommended actions
- Add evidence
- Require human approval
- Lower autonomy
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.