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See all capabilitiesZipchat reads your codebase, docs, and ticket history. It deflects 60-80% of repetitive questions before they reach a human.
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Zipchat Impact Report, 2025
B2B SaaS support queues look the same everywhere: 70% of tickets are some variation of "how do I," "why isn't this working," or "where do I find." Questions your docs already answer, asked again by people who couldn't find the answer fast enough.
Zipchat connects to your codebase, documentation, and ticket history. It understands technical questions, finds the right answer, and responds with citations. Not a scripted FAQ bot. An agent that reads what you've already written and uses it.
The same AI that deflects support tickets also sits on your docs site during pre-sales evaluations and inside your product for onboarding. One tool, three places where B2B SaaS teams bleed time.
Built for technical products, not just basic FAQs
Reads your codebase and docs to answer "how do I" and "why isn't this working" questions before they hit your queue. Agents focus on edge cases that actually need them.
Sits on your docs site and pricing pages. Answers technical evaluation questions in seconds, so prospects move forward without waiting for an SE.
One AI search across Notion, Confluence, GitHub, Linear, and Slack. Your team stops losing hours hunting for the answer to a question someone already answered last month.
Responses cite the exact doc section, API endpoint, or code path. No vague summaries. Developers get the answer they can actually use.
Deploy on your website, in-app, docs portal, or Slack. Same AI, same knowledge base, same accuracy, everywhere your users ask questions.
When a query needs a human, Zipchat routes it with the full conversation history. Agents pick up mid-thread, not from scratch.
COMMON CHALLENGES
Repeat tickets drain the queue
70% of tickets ask questions your docs already answer. Your agents spend the day copy-pasting the same link.
Zipchat reads your docs and codebase, deflects repeat questions before they reach a human, and frees agents for work that matters.
Technical prospects go cold
Evaluation stalls when a prospect can't get a technical answer fast. Sales Engineering can't be everywhere.
Zipchat sits on your docs site and answers pre-sales questions with code examples, in seconds, around the clock.
Internal knowledge is unfindable
The answer exists somewhere in Notion, Confluence, or a Slack thread from six months ago. Nobody can find it.
One AI search across all your knowledge sources. Your team finds the answer in seconds instead of hunting for 30 minutes.
BEFORE VS. AFTER
| Without Zipchat | With Zipchat |
|---|---|
| Agents answer the same 10 questions all day | Repeat questions resolved before reaching the queue |
| Prospects wait 48 hours for a technical answer | Pre-sales questions answered in seconds from your docs |
| Docs search returns zero useful results | Semantic search finds the right answer from vague queries |
| New hires need 3 months of shadow sessions | New hires query the AI knowledge base directly |
| Support tickets pile up overnight and on weekends | 24/7 coverage with no additional headcount |
| Engineering answers Slack DMs about docs all week | AI handles standard questions; engineers handle real edge cases |
GETTING STARTED
Link GitHub, GitLab, Notion, Confluence, Zendesk, Intercom, or Jira. Read-only access, no engineering lift required.
Your codebase, docs, and ticket history are indexed automatically. Most teams are live within a few hours.
Launch on your website, docs portal, in-app, or Slack. Pick one or all four from the same dashboard.
Zipchat handles the volume. Your team handles the edge cases. You check the deflection dashboard.
PRICING
Usage-based. Pay per conversation, not per seat. See full pricing →
Yes. You grant Zipchat read-only OAuth access to the repos you choose. No write permissions are requested or granted. Your code stays private; Zipchat only reads it to generate answers.
Zipchat states it doesn't have the answer rather than guessing. It then routes the query to a human agent with the full conversation context attached. No hallucinated answers reach your users.
Yes. Zipchat integrates with Zendesk and Intercom as a first-response layer. Unresolved queries are escalated directly into your existing inbox, with context included. Your agents see the full thread.
No. Your data is used only for retrieval, never for training the underlying AI models. Zipchat uses retrieval-augmented generation: it reads your content to find answers, not to learn from it permanently.
Most codebases and doc sets index within a few hours. Larger repositories or extensive Confluence/Notion workspaces may take up to 24 hours. After that, updates sync automatically within one hour of changes.
Yes. Zipchat detects the user's language and responds accordingly, even if your docs and codebase are in English. The semantic search layer handles cross-language matching without any additional configuration.
HONEST TAKE
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