AI-Assisted IT Support

Framework and examples for using AI as a support accelerator without replacing core troubleshooting discipline. Last reviewed: February 13, 2026

Purpose

This repository shows how I use AI to improve speed, structure, and documentation quality in IT support workflows while keeping decisions evidence-based and security-conscious.

What This Repo Includes

• Practical workflow for AI-assisted incident handling
• Prompt libraries for troubleshooting and documentation
• Ticket and log templates for repeatable support execution
• Case studies showing AI-assisted analysis with human validation
• Usage policy and guardrails for safe operation

Workflow at a Glance

1. Define the issue and impact clearly.
2. Collect facts (symptoms, logs, commands, environment).
3. Use AI to generate hypotheses and test plans.
4. Validate findings manually with commands and system checks.
5. Apply low-risk fix, then verify service restoration.
6. Document resolution and prevention notes.

Detailed process: WORKFLOW.md

Repository Structure

• AI_USAGE_POLICY.md - boundaries and safety rules
• WORKFLOW.md - step-by-step support workflow
• case-studies/ - scenario walkthroughs with outcomes
• prompts/ - reusable prompts for troubleshooting and writeups
• templates/ - ticket, learning-note, and prompt-log templates
• evidence/ - guidance for screenshots and supporting artifacts

Case Studies

• case-studies/2026-01-06-ai-assisted-dns-troubleshooting.md
• case-studies/2026-01-06-ai-assisted-windows-network-fix.md

Skills Demonstrated

• Structured troubleshooting and root-cause analysis
• AI-assisted hypothesis generation and decision support
• Windows/Linux/network support workflows
• Documentation quality aligned with support ticket standards
• Security-conscious operations and sanitization

Usage Notes

• AI suggestions are treated as drafts, not final truth.
• Every recommendation is validated with command output or system checks.
• Sensitive information is redacted before sharing/storing artifacts.

Related Repositories

• IT Support Labs: https://github.com/dallasm92/it-support-labs
• AI-Assisted Home Lab Operations: https://github.com/dallasm92/ai-assisted-home-lab-operations
• Home Lab Overview: https://github.com/dallasm92/home-lab-overview