Give sales engineers instant technical answers
Accurate security, architecture, and limits answers on live calls.
On live prospect calls, sales engineers get asked about rate limits, data residency, and SOC 2 scope — and "let me get back to you" kills momentum. Wrong answers are worse: they surface in procurement and blow up deals.
The internal Ask assistant gives your sales team cited answers from product docs, security documentation, and past RFP answers in seconds — in the dashboard or in Slack mid-call. Project permissions keep internal-only pricing and roadmap knowledge scoped to the teams that should see it.
How it works
- 1Index product docs, security documentation, and past RFP answers into an internal project.
- 2Scope access with per-project chat permissions and restricted document visibility.
- 3Sales engineers ask via the dashboard or Slack — mid-call if needed.
- 4Answers arrive in seconds with citations they can verify before repeating to a prospect.
What you get
Features that make it work
Frequently asked questions
Can sales use this during a live call?
Yes — the Slack bot and dashboard Ask assistant return cited answers in seconds, fast enough to answer mid-conversation rather than in a follow-up email.
How do we keep sensitive material out of the wrong hands?
Per-project chat permissions control who can query which project, and restricted document visibility keeps sensitive docs available only to workspace members — never through public surfaces.
How do answers stay accurate as the product changes?
Sources re-sync on a schedule, so answers track current docs. Citations let SEs confirm the source and its recency before repeating a claim to a prospect.
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
Accelerate customer onboarding
Self-serve setup answers instead of waiting on your CSM.
Support self-serve enterprise evaluations
Let evaluating teams answer their own deep-dive questions.
Answer RFPs and security questionnaires faster
Draft questionnaire answers from your compliance docs.
Ready to give sales engineers instant technical answers?
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