The Problem

• • Knowledge base articles are manually written and rarely updated, becoming stale over time.
• • Common support questions aren't identified systematically, leading to repeated ticket volume.
• • Articles lack SEO optimization, making them hard to find via search or the help center.
• • No visibility into which articles are helpful or which gaps cause the most tickets.

What This Blueprint Does

Taylor, your AI Knowledge Base Manager, analyzes support tickets to find knowledge gaps, drafts help articles from resolved tickets, optimizes them for SEO, publishes to the knowledge base, and tracks usage — building self-service that actually reduces ticket volume.

• → Analyzes support tickets to identify common questions and knowledge gaps.
• → Generates help articles from resolved tickets with clear instructions and screenshots.
• → Optimizes articles with keywords, internal links, and structured data for discoverability.
• → Monitors article views, search queries, and helpfulness ratings to identify improvements.

Workflow Architecture