AI-Powered Incident Summarization and Skillset Extraction

siddheshagn
Tera Contributor

Step 1: Define the Use Case

  • Goal: Extract and summarize key topics from incident records.
  • Output: Store summaries and keywords in a custom table for reporting.

Step 2: Create a Custom Table

  • Navigate to System Definition > Tables
  • Create a table named incident_keywords
    • Fields: Incident Sys_ID, Keyword, Summary

Step 3: Build an AI Agent

  • Go to AI Agent Studio > Create and Manage
  • Define:
    • Name: Incident Summarizer Agent
    • Role: “Extracts key topics and summaries from incident descriptions”
    • Instructions:
      1. Retrieve incident details
      2. Analyze text using AI
      3. Match or generate keywords
      4. Insert results into incident_keywords table

Step 4: Add Tools to the Agent

  • Script Tool – Fetch Incident: Gets Short Description and Description
  • Script Tool – Get Existing Keywords: Queries known keywords
  • Record Operations Tool – Insert Keywords: Adds new records to the custom table

Step 5: Configure Trigger

  • Use a Record-based trigger:
    • Trigger when a new incident is created or updated
    • Agent runs in the background

Step 6: Activate and Test

  • Click Activate in AI Agent Studio
  • Use the Test screen:
    • Provide an incident number
    • Observe how the agent:
      • Pulls description
      • Extracts keywords
      • Inserts them into the custom table

Optional Enhancements

  • Use Google Gemini or OpenAI via Now Assist for deeper summarization 
  • Auto-update Work notes with summaries
  • Recommend Knowledge Articles based on extracted topics
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