Build a simple AI customer support knowledge base
Create a clean help center foundation from FAQs, support tickets, product docs, and internal notes.
Setup time
2 hours
Time saved
5-10 hours
Best for
Small teams, SaaS teams, Ecommerce support
Tools
Intercom, Notion, ChatGPT, Loom
Overview
This workflow turns scattered support knowledge into consistent help articles and answer snippets.
When to use this workflow
Tools you need
Intercom
Customer support
Customer service platform with AI chatbot, help center, and support inbox workflows.
Visit websiteNotion
Workspace
Workspace for docs, databases, calendars, SOPs, and team knowledge bases.
Visit websiteChatGPT
AI assistant
General AI assistant for drafting, reasoning, rewriting, and structured content generation.
Visit websiteLoom
Video communication
Screen recording tool for demos, async updates, tutorials, and customer walkthroughs.
Visit websiteStep-by-step workflow
Collect source material
Export recurring tickets, FAQs, docs, refund policies, and internal answers into one workspace.
Tool used
Notion
Expected output
A single source folder for support knowledge.
Cluster questions
Ask AI to group support issues by theme, urgency, and product area.
Tool used
ChatGPT
Expected output
A prioritized list of article topics.
Draft help articles
Generate concise help articles with steps, screenshots needed, escalation notes, and related links.
Tool used
ChatGPT
Expected output
Draft articles ready for review.
Publish and train
Publish approved articles and record short Loom walkthroughs for support teammates.
Tool used
Intercom
Expected output
A basic support knowledge base.
Prompt templates
Support question clustering
Group these support tickets into article topics. For each topic, list the user problem, likely root cause, suggested article title, and priority. Tickets: [paste]Help article draft
Write a clear help center article for this support question. Include who it applies to, step-by-step instructions, expected result, and when to contact support. Question: [paste]Automation ideas
- Tag recurring tickets and send them to a KB backlog
- Create article drafts from high-volume ticket clusters
- Route unresolved chatbot questions to a weekly review
Common mistakes
- Publishing AI answers without support review
- Writing articles that ignore edge cases
- Not updating articles after product changes
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Setup
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