Knowledge Base Builder
Every resolved ticket holds the makings of a KB article. This playbook captures that knowledge automatically, clusters by intent, and drafts articles in your voice so the KB tracks what customers are actually asking about this month.
The problem
Post-resolution documentation is the first thing agents drop when the queue gets heavy. KBs go stale, self-service deflection drops, the same contact reasons keep returning to the queue, and nobody owns fixing it because everyone already has a day job.
How DataChi runs it
DataCHI reads resolved tickets across the helpdesks you run, clusters them by intent and topic, and drafts KB articles in your brand voice. Drafts route to the named SME for review before publishing. Published articles get tracked for deflection impact so the team can see which ones actually take work out of the queue.
What's included
- Ticket clustering by intent, topic, and product area
- Article drafting in your brand voice with citation back to source tickets
- SME review and approval workflow with named owners
- Multi-locale article generation
- Direct publishing to Zendesk, Intercom, Help Scout, and Notion
- Per-article deflection-impact reporting
- Stale-content detection against shifting ticket patterns
Who it's for
Support leaders, knowledge managers, and CX teams investing in self-service as a real channel rather than a checkbox.
Outcomes
- A KB that stays current without a dedicated writing rotation
- Higher self-service deflection on the top contact reasons
- Faster ramp for new agents from the same source of truth
Ready to run Knowledge Base Builder with DataChi?
See the playbook in action with your data, your stack, and your team.
Book a 20-minute demo