Answer RFPs and security questionnaires faster
Draft questionnaire answers from your compliance docs.
Every enterprise deal brings a 300-question security questionnaire, and answering it steals a week from security and sales engineering. Most answers were already written for the last questionnaire — but nobody can find them.
Index your security docs, policies, and previously answered questionnaires as a restricted internal project. Your team asks each question through the Ask assistant and gets a drafted, cited answer to review — turning a week of archaeology into a day of review, with SSO and audit logs keeping the sensitive corpus governed.
How it works
- 1Upload security docs, policies, and past questionnaires (PDF/MD) into a restricted internal project.
- 2Governance applies: restricted visibility, SSO, and audit logs for the sensitive corpus.
- 3For each questionnaire item, your team asks the Ask assistant and gets a drafted, cited answer.
- 4Reviewers verify against the cited source and finalize — review, not archaeology.
What you get
Features that make it work
Frequently asked questions
How do we get past questionnaires into the system?
Upload them directly as file sources (PDF, Markdown, TXT, HTML) alongside crawled policy pages. They are indexed into a restricted internal project only your team can query.
Is this safe for sensitive compliance material?
The corpus lives in a restricted project: document-level visibility, per-project chat permissions, OIDC/SAML SSO, and workspace audit logs govern who can access it and record what was asked.
Does the AI answer the questionnaire for us?
It drafts — with citations to the policy or previous answer it drew from — and your security team reviews and finalizes. The human stays accountable for every submitted answer.
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.
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Ready to answer RFPs and security questionnaires faster?
Connect your knowledge sources and see cited AI answers in minutes — free, no credit card required.
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