Troubleshooting Agent Configuration
Prerequisites
Before configuring the Troubleshooting Agent, you must create an External Client App (ECA) and provide the Salesforce OAuth Client ID, Username, and instance URL to the ServiceMax team by submitting a Salesforce case. Do not share this information via email due to security risks.
Based on this integration, the Salesforce Injection Data Pipeline (SIDP) scheduler connects to your Salesforce org to process recently closed Work Orders and store the generated AI Notes in Snowflake.
The Troubleshooting Agent analyses historical service data to help service teams resolve issues in the field. It surfaces similar past issues and shows how they were resolved, enabling technicians to apply proven solutions during service execution.
The agent evaluates historical work orders and asset data in context and presents insights based on similar service scenarios.
Troubleshooting Agent Capabilities
The Troubleshooting Agent provides the following capabilities:
Analyzes past work orders with similar issues
Summarizes problem and solution context based on prior resolutions
Administrators configure the Troubleshooting Agent in the ServiceMax AI Console. Configuration controls which users can access the agent and what service data is available for analysis. You can configure the following on this page:
Enabling User Access for Troubleshooting Agent: Control which users can access the Troubleshooting Agent and view troubleshooting insights.
Managing Troubleshooting Agent Configuration: Define how the Troubleshooting Agent analyzes service data to identify problems and solutions.
Configuring Data Scope for Troubleshooting: Specify which historical work orders are analyzed to generate relevant troubleshooting insights.
Defining Rules and Guidelines for Troubleshooting: Provide rules and guidance that influence how the agent matches and interprets service data.
Enabling Troubleshooting Agent: Activate the Troubleshooting Agent so it can analyze service data and generate insights.
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