
The enterprise AI agent evaluation scorecard
A practical control model for testing task completion, evidence quality, permissions, failure handling and operating cost before an agent reaches production.
Coverage examines how ServiceNow embeds agents and automation into governed enterprise workflows.

ServiceNow offers a practical test of whether generative AI can move from isolated assistance into measurable cross-functional workflows.
We focus on controls, integration depth and the evidence required to distinguish licensed capability from operational value.

A practical control model for testing task completion, evidence quality, permissions, failure handling and operating cost before an agent reaches production.

The strategic question is no longer whether a company can deploy an agent. It is whether the organization can redesign ownership, controls and work around it.

Useful governance sits inside the workflow: clear ownership, approved data, measurable behavior and a recoverable path when an AI system fails.
This editorial file is not affiliated with ServiceNow. It connects independently sourced Actuneuriat coverage and is updated as material evidence changes.