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Knops AI for Support · Head of Support / VP CX

Support articles that ship with the code that changed them

Every product change becomes a customer-facing article, an updated agent training path, and code context inside the helpdesk, without an engineer writing a word.

Up to 75%*Ticket deflection
2–3 wks*Agent ramp
HoursNot months to update

* Modelled from published industry benchmarks, not measured customer results.

What it costs today

The gap between what shipped and what support knows

The knowledge base runs 2–6 months behind the product. Every release opens a documentation gap that tickets pour into.

Over 40% of inbound tickets are duplicates, already answered somewhere, but the article is missing, wrong, or unfindable.

New agents take 6–12 weeks to ramp because the real knowledge lives in Slack threads and senior agents’ heads.

What changes

Answers published before the ticket is filed.

  • Articles are generated from every commit and published before the first ticket arrives
  • Gap analysis reads inbound tickets and queues articles for questions with no answer
  • Training paths rebuild from live articles, so agents learn the product as it is today
  • Agents search the codebase from inside Zendesk instead of interrupting engineers
What Knops generates
Support article generation across 44 categoriesGap detection from Zendesk & Intercom ticket streamsIn-place article updates when code changesAdaptive agent training paths with quizzesAI video tutorials generated from articlesSemantic code search inside the helpdesk
Publishes to
ZendeskIntercomGitHubConfluenceNotion

One source of truth. Four audiences.

The same repository, read four different ways, so no team is working from a version of the product that no longer exists.

Connect your repository. See what it already knows.

Read-only access, no engineering lift. We will show you what Knops generates for support from your own code.

Request Exploration Call