Metric governance for AI planning

Define trusted business metrics before AI uses them.

Kona gives operators a shared place to define a KPI, identify its owner, connect it to source systems, and review changes before that number drives a forecast or recommendation. The goal is not more dashboards; it is one inspectable definition that survives every handoff.

01

Create a semantic metric registry

Document the business definition, formula, unit, aggregation, dimensions, owner, and certification state for the numbers your team uses repeatedly.

02

Trace source-to-metric lineage

Keep the source metrics and connector relationships beside the definition so reviewers can understand where a figure came from and what would invalidate it.

03

Monitor drift and preserve review history

Add alert rules, severity, thresholds, and cooldowns while retaining an audit trail of the changes that shaped the operating view.

Kona’s governance surface supports decision review; it does not replace accounting controls, a data warehouse, or independent assurance. Consequential metrics still require an accountable human owner.

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