AI automation gaps start before the workflow

When signals flow into ITSM without correlation or context, teams spend their time managing noise rather than improving outcomes. This IDC analyst brief explains why incident quality is the prerequisite to reliably automate, reduce cognitive load, and deliver agentic AI that performs.

• Signal transformation quality is a governance prerequisite, not an automation feature. Without it, ITSM platforms record activity rather than coordinate outcomes, regardless of how capable their workflow engines are.
• The human cost of poor incident formation is primary. Reducing cognitive load through enriched, correlated incidents is the condition that makes every downstream investment pay for itself.
• As agentic AI scales, the quality of incident context determines whether automations execute correctly or amplify the problem they were meant to address.