
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.
Actuneuriat follows Salesforce as AI agents move into customer-facing and revenue workflows.

Salesforce is a key test case for agents that act on high-value customer and commercial data.
Our analysis concentrates on permissions, data quality, measurable productivity and the boundary between recommendation and autonomous action.

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.

Strategic investors are being asked to show how portfolio access improves products, supply chains and internal learning—not only financial returns.
This editorial file is not affiliated with Salesforce. It connects independently sourced Actuneuriat coverage and is updated as material evidence changes.