Framework Seven

AI Confidence Radius.

The radial scorecard for deciding whether an AI feature should launch, scale, stay in pilot, or pause.

AI capability alone is not launch readiness. `AI Confidence Radius` scores six dimensions — Utility, Trust, Control, Explainability, Reliability, and Governance — so leadership can see where confidence is strong, where risk concentrates, and what operating posture the product actually deserves.

Figure 7 — Six-axis AI launch readiness score1 to 5 scale

How to read it

The graph is not designed to produce one vanity score. It is designed to surface imbalance. A feature may have strong utility and reliability while still being unready to scale because governance or explainability is weak.

Score each dimension on the same scale, plot the shape, and name the operating posture: `launch`, `limit`, `pilot`, or `pause`.

Utility

Trust

Control

Explainability

Reliability

Governance

Decision use

Launch readiness

Use when leadership needs a clear go, limit, or pause decision on an AI-assisted feature or workflow.

What it reveals

Confidence imbalance

Shows where adoption confidence is strong and where governance, trust, or control is too weak to support scale.

Primary output

Scorecard + guardrails

Every readout ends with a recommended operating posture and the guardrails required before broader rollout.

Source: PiqueInsights · AI Confidence Radius methodology

Launch · Limit · Pilot · Pause