Cover after-hours and weekend support
Accurate answers at 3am without an on-call rotation.
Your customers are global but your support team is not. Questions filed on Friday evening sit until Monday, and international customers consistently report the worst experience. Staffing a follow-the-sun team is not in the budget.
BeforeQuery answers around the clock from your indexed knowledge with the same accuracy at 3am as at 3pm. Anything it cannot resolve is captured in the conversation history with full context, so the morning team picks up a pre-triaged queue instead of a cold backlog.
How it works
- 1Index your knowledge base once — the AI answers from it 24/7 with no rota.
- 2Deploy the widget and bots on the surfaces customers use at any hour.
- 3Overnight questions get instant, cited answers; unresolved ones are captured with full context.
- 4Your morning team starts from a pre-triaged queue instead of a cold backlog.
What you get
Features that make it work
Frequently asked questions
What happens to questions the AI cannot resolve overnight?
They are stored in conversation history with the full exchange, so your team reviews them in the morning with complete context — what was asked, what the AI retrieved, and where it fell back.
Is answer quality worse without a human reviewing?
Answers come from the same indexed knowledge and RAG pipeline at any hour, with citations for verification. Confidence-based fallback prevents guessing, and LLM-judge evals let you track answer quality as an ongoing metric.
Can it cover multiple time zones' languages too?
Yes — BeforeQuery answers in the language of the question while retrieving from your existing docs, so overnight coverage extends across languages without translated documentation.
How long does setup take?
Most teams are live the same day. You connect a source — a docs URL, GitHub repo, Notion workspace, or a file upload — and BeforeQuery crawls, normalizes, chunks, and embeds the content automatically. The website widget is a single script tag, and the Slack/Discord bots install in a few clicks. There is no model to fine-tune and no infrastructure to run.
Are answers backed by citations?
Yes. Every answer includes a structured citations list with the URL, title, and excerpt of each source used, and the answer text cites sources inline. Users can click through to verify any claim against the original document — which is what makes the answers trustworthy enough for support, sales, and internal use.
Is my content used to train AI models?
No. Your indexed content, embeddings, and conversations are isolated to your workspace and are only used to answer your own questions. Content is never shared across customers, and data is encrypted at rest and in transit. Enterprise plans add OIDC/SAML SSO, audit logs, and data-residency options.
Which knowledge sources can I connect?
18+ source types: websites, GitHub, GitLab, Notion, Confluence, Google Drive, SharePoint, Shopify, Zendesk, Jira, Linear, Salesforce, Slack, Discourse, Stack Overflow, YouTube, OpenAPI specs, and direct file uploads (PDF, Markdown, TXT, HTML). Sources sync on a schedule, and GitHub/GitLab can re-index automatically via webhooks on every push.
What happens when the AI is not confident in an answer?
Answers are confidence-scored. When retrieval confidence falls below your threshold, BeforeQuery returns a transparent, configurable fallback — typically pointing users to your support channel — instead of guessing. Those unanswered questions are logged in knowledge gap analytics so you can close the gap in your docs.
Related use cases
Deflect repetitive support tickets
Answer common questions before they become tickets.
Fix slow first response times
Give customers an accurate answer in seconds, not hours.
Deflect tickets at the support form
Answer the question while the user is still typing it.
Ready to cover after-hours and weekend support?
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