AI Knowledge Base

The problem

Help Centers decay. Articles are written when the platform launches, then nobody touches them for two years. New products ship, processes change, and the KB still describes the old flow. Agents stop trusting it. Customers get wrong answers from self-service and end up in the queue anyway. The team knows it needs updating but nobody has time to sit down and write, and even if they did, how would they know which articles are outdated?

My solution

An automated pipeline that monitors your resolved tickets, identifies recurring question patterns, and drafts new Help Center articles ready for human review. Your team reviews and publishes: nothing goes live without approval. Existing articles get flagged when the ticket data suggests they're outdated or contradicted by recent agent responses. Agents can also trigger a one-click draft response on any ticket, pulling the most relevant KB content into a ready-to-send email. Once response accuracy is proven on a given topic, low-value tickets can be resolved automatically, freeing your team for higher-impact work.

What's included

• Automatic detection of recurring question patterns from resolved ticket data
• AI-drafted articles grounded in real agent responses, not generic content
• Human review and approval queue before any article goes live
• Existing article drift detection: flags articles contradicted by recent tickets
• Multi-language support for international Help Centers
• Automatic category and section placement based on topic classification
• Monthly coverage report: topics with high ticket volume but no self-service article

Built with

Ideal for

Support teams with a growing ticket volume driven by repetitive questions, whose Help Center is outdated, incomplete, or no longer trusted by agents or customers.

Platforms

Zendesk

Freshdesk

Pricing