Readiness Heatmap is only a technical term.
It affects ownership, controls, evidence, and post-launch operations.
AI
Readiness Heatmap
A readiness heatmap scores candidate services by impact, data quality, policy clarity, integration readiness, and operating risk.
Definition
A readiness heatmap scores candidate services by impact, data quality, policy clarity, integration readiness, and operating risk. The concept helps public-sector teams convert agentic AI ambition into measurable operating decisions.
In practical context
In PRO71 work, Readiness Heatmap matters when an entity needs to connect service design, governance, data, and operations in one supportable scope.
Why it matters
Readiness Heatmap becomes more useful when it is tied to a named service or operating decision.
Common misconceptions
The definition is enough by itself.
The term becomes useful only when it changes a workflow, decision, or metric.
FAQ
Questions teams ask before they start
What does Readiness Heatmap mean in practice?
It means defining how the concept changes a service, control, metric, or operating responsibility.
Why does PRO71 define Readiness Heatmap?
PRO71 defines it to connect AI language to measurable and supportable delivery choices.