Automated Ticket Resolution Agent

Agent Description:

The Automated Ticket Resolution Agent is designed to function as an intelligent Tier-1 IT service desk. It automatically ingests incoming support requests and resolves recurring issues without human intervention. By pulling context directly from ticketing systems and cross-referencing a knowledge base playbook, it determines if an issue is automatable, executes the necessary remediation scripts, and validates the fix before closing the ticket.

This agent enables IT support teams to automatically handle and resolve high-volume, repetitive issues such as:

  • Password resets and account lockouts

  • VPN access failures

  • Email synchronization issues

  • Software configuration errors

  • Network connectivity triage

Purpose and Components
  • Purpose: IT teams spend too much time handling repetitive Tier‑1 tickets, slowing response times and preventing focus on more complex issues.The purpose of this agent is to serve as an automated Tier‑1 service desk that ingests support tickets, identifies routine issues, and resolves them using predefined remediation steps—reducing manual workload and accelerating ticket closure.
  • Components:

    • Ticket Intake and Issue Detector: Retrieves incoming IT tickets and extracts structured issue signals and categories.

    • Resolution Script Matcher: Scans the IT remediation playbook PDF to locate the correct step-by-step automated fix.

    • Automation Eligibility Router: Determines whether the issue is a candidate for automation or requires human escalation.

    • Automated Fix Executor: Sequentially executes the prescribed system commands or scripts to remediate the user's problem.

    • Ticket Closure and Validation Agent: Validates the successful outcome of the fix and finalizes the ticket status (Resolved or Escalated).

Supported Capabilities
  • Ticket Ingestion: Retrieves incoming IT tickets and extracts structured signals (category, affected system, symptoms).
  • Knowledge Base Matching: Scans IT remediation playbook PDFs to locate the exact step-by-step fix for the identified issue.
  • Intelligent Routing: Evaluates whether the issue is a candidate for automation or requires escalation to a human agent.
  • Script Execution: Sequentially executes the prescribed system commands to remediate the user's problem.
  • Automated Validation: Runs validation checks to ensure the fix was successful before updating the ticket status to RESOLVED.
LLM Used

  • OpenAI GPT_40_MINI for both the parent agent and its sub-agents.

    This template is ideal for IT helpdesk teams, system administrators, and customer support centers looking to reduce ticket backlogs and improve mean-time-to-resolution (MTTR) for common issues.

Sub-Agents

1. Ticket Intake and Issue Detector

  • Role:Issue extraction

  • Scope:Retrieve the incoming IT ticket and extract structured issue information.

  • Description: Uses a GET request to retrieve ticket details, extracts symptoms and error messages, normalizes the issue category, and flags whether the ticket is a known automation_candidate.

  • LLM Used: Default (Inherits from parent agent).

2. Resolution Script Matcher

  • Role:Fix identification

  • Scope:Find the correct remediation script from the IT resolution knowledge base.

  • Description: Uses a PDF reader tool to scan the IT remediation playbook. It searches for the normalized issue category, extracts the required script steps, and maps the expected resolution outcome.

  • LLM Used: Default (Inherits from parent agent).

3. Automation Eligibility Router

  • Role:Automation decision

  • Scope:Determine whether the issue can be resolved automatically or requires escalation.

  • Description:Evaluates the automation_candidate flag and checks if a valid script was found (script_available). It forwards the ticket down the automation path or redirects it for escalation.

  • LLM Used: Default (Inherits from parent agent).

4. Automated Fix Executor

  • Role: Script execution

  • Scope:Execute the remediation script to resolve the issue automatically.

  • Description:Executes the matched script steps sequentially (for example, unlocking an account, restarting a service). It tracks step completions, logs systems modified, and determines the raw resolution status.

  • LLM Used: Default (Inherits from parent agent).

5. Ticket Closure and Validation Agent

  • Role: Resolution verification

  • Scope:Verify that the automated fix solved the issue and finalize the ticket.

  • Description:Performs a final validation check based on the issue category (for example, verifying a user can authenticate). If successful, it sets the status to RESOLVED and generates a summary; if it fails or cannot be automated, it sets the status to ESCALATED.

  • LLM Used: Default (Inherits from parent agent).

Tools Used:

  • PDF Reader: Loads text from PDF files. Used to read the organization's standard IT remediation playbook.

  • requests_get: A portal to the internet used to execute HTTP GET requests. Used to fetch the raw IT ticket JSON payload from the service desk platform.
Note: For details on modifying the Tools, refer Tools Library section.

API Configuration

How to Connect Your Ticketing System and Knowledge Base:

  1. Click on the Ticket Intake and Issue Detector sub-agent.

  2. Navigate to the Actions tab > update the requests_get tool with your ITSM system's API endpoint (e.g., ServiceNow, Jira Service Management).

  3. Click on the Resolution Script Matcher sub-agent.

  4. Navigate to the Actions tab > update the pdf_reader tool URL or file path with your company's IT remediation playbook.

  5. Save and test the connection.

Agent Workflow Behavior Summary

  1. Input: The agent retrieves a newly submitted IT ticket via API.

  2. Intake: The ticket is parsed to identify the core issue (for example, "vpn_access_failure").

  3. Matching: The agent scans the PDF knowledge base to find the exact script required to fix the VPN issue.

  4. Routing: If the issue is recognized and a script exists, the agent approves it for automation.

  5. Execution: The agent runs the script steps (for example, resetting the VPN session).

  6. Output: The agent validates the connection, closes the ticket with a resolution summary, or escalates to a human if the fix fails.

Sample Questions:

  • My account is locked. Can you unlock it?