Information trust score
A composite reliability rating per knowledge domain.
Formula
Information trust composite
weighted score across owner clarity, freshness, lineage, conflict control, and access governance
Unit
score
Direction
Higher is better
Cadence
Quarterly; monthly for AI-critical information.
Worked Example
Composite review of operating information quality.
Owner clarity
80
Freshness
63
Lineage
58
Conflict control
70
Access governance
75
Calculation
Average of 80, 63, 58, 70, and 75
Result
69.2
Interpretation
Information trust is below the level needed for confident AI scale.
Recommended action
Improve lineage and freshness first because they are the weakest contributors.
Why it matters
This metric helps leaders see whether the information layer is healthy enough to support execution and AI readiness.
What it reveals
Whether information is owned, fresh, governed, versioned, and trusted enough to support decisions.
Manual assessment method
Score each critical information domain across ownership, freshness, consistency, access, and decision relevance.
Lapemo calculation path
Supported by knowledge domain quality inputs; composite assembly depends on derivation logic.
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
- Owner clarity score
- Freshness score
- Lineage score
- Conflict score
- Access governance score
Data sources
- Source-of-Truth Map
- Data catalog
- Access reviews
- Lineage checks
Common pitfalls
- Averaging scores without reviewing the weakest factor
- Treating trust as sentiment
Recommended actions
- Fix lowest contributors
- Publish source owners
- Review AI-critical domains
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.