How to build a Technical Support AI Copilot
Delivers structured, step-by-step troubleshooting guidance by combining user queries with equipment documentation, ensuring consistent and reliable support without constant reliance on senior experts.
Challenge
Minimizes production downtime by addressing the difficulty of quickly accessing accurate technical information and resolving issues before they escalate.
Industry
Industrials
Department
IT
Integrations
OpenAI
TL;DR
An AI-powered copilot that helps manufacturing teams troubleshoot technical issues quickly. It combines user queries with uploaded manuals or guides to provide clear, step-by-step responses, while escalating to human experts when needed.
Common Pain Points of Getting Technical Support
Delays in finding answers buried in long equipment manuals.
Inconsistent troubleshooting steps across teams.
High dependency on senior engineers for routine support questions.
Downtime caused by unresolved issues waiting for escalation.
Difficulty keeping documentation updated and accessible in real time.
What the Agent Delivers
Instant responses to technical queries with step-by-step troubleshooting.
Integration of uploaded manuals, guides, or documents into answers.
Professional, formatted outputs easy for operators and engineers to follow.
Automatic recommendations to escalate to human experts when issues persist.
Scalable support that reduces dependency on specialized staff.
Step-by-Step Build (StackAI Nodes)
1. User Query (Input Node)
User enters their technical question or describes the issue.
2. Files Upload (Files Node)
Optional upload of manuals, troubleshooting guides, or equipment docs.
3. AI Copilot (LLM Node)
Analyzes query + documentation, provides actionable troubleshooting steps, cites sources, and flags unresolved issues for human review.
4. Response Formatting (Template Node)
Formats the AI’s response in a professional, structured layout.
5. Output (Output Node)
Displays the final answer to the user.
Node Details
Node Name | Description |
|---|---|
User Query | User submits their technical support question or issue. |
Files | Uploads manuals, troubleshooting guides, or relevant technical documents. |
AI Copilot | AI analyzes query and docs to generate step-by-step troubleshooting with citations. |
Response Template | Formats AI’s answer for clarity and professionalism. |
Output | Delivers the final, formatted response to the user. |
