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Automation Potential ​

The Automation Potential processor evaluates how useful the AI agent could be for investigating or automating work on a ticket. It scores each ticket on a 0-100 scale based on the tools and integrations currently connected.

What It Does ​

The processor examines the ticket content alongside two lists of tools:

  1. Connected tools -- Integrations active for the ticket's company.
  2. Unconnected tools -- Integrations available but not yet enabled.

An LLM analyzes the ticket against both lists and produces:

  • Score (0-100) -- Based on what the agent can do now with connected tools.
  • Label -- none (0-25), low (26-50), medium (51-75), or high (76-100).
  • Matched integrations -- Which connected integrations are relevant.
  • Suggested capabilities -- Specific actions the agent could take.
  • Limiting factors -- What prevents a higher score (e.g., missing integrations).
  • Recommended integrations -- Unconnected integrations that would help, with estimated potential score.

Example Output ​

json
{
  "score": 72,
  "label": "medium",
  "matched_integrations": ["microsoft365"],
  "suggested_capabilities": [
    "Check user sign-in logs in Azure AD",
    "Verify MFA registration status"
  ],
  "limiting_factors": [
    "Account modification requires human approval"
  ],
  "recommended_integrations": [
    {
      "integration_name": "NinjaOne",
      "reason": "Could check device health and run remote diagnostics"
    }
  ],
  "potential_score": 88
}

When to Use It ​

This processor is enabled by default. It helps identify tickets the AI agent can automate, reveals gaps in integration coverage, and provides data-driven recommendations for additional integrations.

Details ​

  • Phase: Enrichment
  • Runs on: New signals
  • Default State: Enabled
  • Prerequisite: The ticket must be associated with a company.