Every AI Agent Needs a Scorecard

An AI workflow is not ready to scale just because people are impressed by the demo.

In Verdify Lab, Iris plans are scored against physical outcomes: compliance, stress, water, energy, cost, forecast error, and planning quality. The specific metrics are greenhouse-specific, but the discipline is portable.

What a scorecard changes

A scorecard turns AI from a claim into an operating system question:

• Did cycle time improve?
• Did reviewers accept or override the recommendation?
• Did exceptions fall or move somewhere else?
• Did traceability improve?
• Did business impact justify expansion?

Without a scorecard, teams argue from anecdotes.

Translate this to your workflow

Your workflow does not need greenhouse metrics. It needs metrics that match the decision: support escalation quality, documentation review speed, chargeback resolution rate, exception backlog, trace completeness, or field-service triage accuracy.

See the AI Operations Scorecard and the Scorecard Template.