Use Cases for ServiceMax AI Analytics
The following table lists some use cases for the ServiceMax AI Analytics feature.
Scenarios
Use Case
Who Benefits
What AI Analytics does
Why it matters
Monitor adoption of new AI capabilities
When an administrator rolls out a new AI agent or skill to dispatchers, AI Analytics shows who has started using the capability and who has not. This visibility helps teams monitor adoption and take corrective actions to drive consistent usage.
Service administrators and AI administrators
Tracks usage of AI agents, skills, and actions across user group.
Helps administrators understand adoption trends and identify users or teams that need enablement or support.
Support business cases for expanding AI usage
An operations manager uses AI Analytics to review current AI usage and engagement across teams. These insights help demonstrate value and support a proposal to expand ServiceMax AI access to additional users or roles.
Operations managers and service leadership
Provides insights into AI usage patterns, activity levels, and observed value.
Enables data‑driven decision‑making when justifying broader AI rollout or investment.
Manage AI credit usage and forecast future needs
A procurement analyst uses AI Analytics to review how many AI credits have been consumed and identify usage trends. This information helps forecast future needs and plan AI budgets more accurately.
Procurement analysts, finance teams, and administrators
Tracks AI credit consumption and usage trends over time.
Supports budgeting, cost control, and planning by helping teams anticipate future AI credit requirements.
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