Skip to main content
Large People ModelHuman Operating Architecture
Definition in developmentAI Amplificationscore

AI decision risk score

A risk rating of a decision type being AI-assisted.

Formula

AI decision risk score

weighted score across stakes, reversibility, model confidence, data trust, human oversight, and governance tier

Unit

score

Direction

Lower is better

Cadence

For every high-impact AI-assisted decision type.

Worked Example

AI-assisted eligibility decision review.

High stakes

30

Low reversibility

20

Confidence gap

15

Weak oversight

20

Weak lineage

10

Calculation

30 + 20 + 15 + 20 + 10

Result

95 / 100 risk

Interpretation

This decision should not be automated without stronger gates and oversight.

Recommended action

Require human approval and improve evidence lineage before deployment.

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

Where AI involvement in high-stakes, low-reversibility, or low-confidence decisions requires stronger oversight.

Manual assessment method

Review AI-assisted decision types by stakes, reversibility, model confidence, human review, and governance tier.

Lapemo calculation path

Conceptually useful, but weighting and definition need a product decision before platform use.

Interpretation Bands

Healthy

0-25

Risk is low or controlled.

Watch

26-50

Risk should be reviewed before scale.

Risk

51-75

Risk is likely to affect outcomes.

Critical

76-100

Reduce autonomy, scope, or exposure before proceeding.

Required inputs

  • Decision stakes
  • Reversibility
  • Model confidence
  • Information trust
  • Oversight level
  • Governance tier

Data sources

  • AI governance checklist
  • Decision record
  • Risk register
  • Model evaluation notes

Common pitfalls

  • Letting model confidence overpower high stakes
  • Ignoring reversibility

Recommended actions

  • Lower autonomy
  • Add approval gates
  • Improve evidence and lineage

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.