AI is only as good as the knowledge it’s grounded in. Flexivity answers from your knowledge — not generic assumptions — and does it across three source types so you don’t have to move your content to make it useful. Then it closes the gaps your knowledge base doesn’t cover yet, by finding the questions that keep coming up and drafting the articles from tickets you’ve already resolved.
Knowledge Sources
Help Desk Knowledge Base. The KB in your Zendesk Help Center or osTicket FAQ. Flexivity cites articles back to customers in replies, and it can leverage both public and internal articles.
Website Content. Connect a public website — your documentation site, a product knowledge portal, a policy page. Answers cite the URL back to customers, just like a KB article citation. Whole-site crawling or specific pages, path filters, scheduled refreshes, and a polite crawler that follows robots.txt.
Documents. Upload files the AI can answer from — policies, runbooks, product specs, internal reference material. PDF, Word, Markdown, and plain text. Always internal: the AI uses them to answer but never names, cites, or links them in a reply to a customer.
- Three source types, one AI — help desk KB, public websites, internal documents, all grounding the same answers
- Content stays where it lives — no migration, no copying, no project to make existing content usable
- Same safeguards everywhere — grounded answers with citations, optional verification, audit log
Knowledge Builder
Knowledge Builder is Flexivity’s answer. Every ticket where the AI couldn’t find a matching article is recorded as a gap. Recurring gaps surface in the Knowledge Builder — the questions your team keeps getting answered the same way, without a formal article to point to. Flexivity drafts the missing article from tickets you’ve already resolved, with the actual answer your team is already giving. You review, edit if you want, and publish directly to your Zendesk Help Center (as an unpublished draft) or your osTicket FAQ.
Every article you publish gives the AI more to answer from. Every gap closed means fewer tickets that need to come to a person for a question you’ve already solved a hundred times.
- Gap detection on every ticket — questions the AI couldn’t answer from your KB are logged as gaps automatically
- Drafts from resolved tickets — the article is written from the answer your team is already giving, not from generic templates
- Publishes to your help desk — Zendesk Help Center as an unpublished draft, osTicket as an internal FAQ article
The quiet ceiling on every AI deployment
The vendor conversation around AI in support focuses on models — which LLM, which prompting approach, which agent framework. In practice, the ceiling on every AI deployment is the knowledge the AI has to work from. A great model with a thin or outdated KB produces confidently wrong answers. A capable model with a well-maintained KB produces grounded ones.
Flexivity treats knowledge as a first-class product surface — not a precondition the customer is expected to have perfected before buying. Three source types widen what counts as knowledge. Knowledge Builder makes the KB better over time, drawing on tickets you’ve already resolved. Teams don’t need a dedicated knowledge engineer to make it work. The AI itself does most of the maintenance, and you review and publish.