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Knowledge / Intranet

Slab AI Integration

Connect Slab to BeforeQuery for grounded AI answers and agent actions across Knowledge / Intranet.

What is it?

About Slab

Slab is one of the Knowledge / Intranet platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect Slab

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → Knowledge / Intranet and select Slab.

  2. Step 02

    Sign in to Slab with an account that has permissions to grant BeforeQuery the Knowledge / Intranet scopes required.

  3. Step 03

    Confirm the connection. Slab is now available as a source and action target for every playbook in your workspace.

How BeforeQuery uses Slab

What the agent does with your Slab connection

  • 01

    Index every Slab page, article, and space into the Knowledge Base for grounded AI answers.

  • 02

    Auto-sync on Slab updates so answers reflect the latest published content.

  • 03

    Respect Slab space + page permissions — sensitive knowledge stays scoped.

  • 04

    Draft new Slab content from playbooks — meeting notes, policy updates, incident post-mortems file directly into the right space.

Use cases

What teams actually do with the Slab integration

Grounded Q&A from Slab

Employees ask "how do we handle X?" — BeforeQuery answers from the exact Slab page that documents it, with a link to the source. Faster than opening Slab and searching manually; more accurate than a stale mental model.

Content freshness monitoring

BeforeQuery flags Slab pages that answer FAQs but haven't been touched in > 6 months, or that contradict other pages, or that get low click-through from search. Docs team gets a triage list, not a "everything is stale" panic.

Meeting notes to Slab

From a transcript or meeting recording, BeforeQuery drafts structured notes (decisions, action items, follow-ups) and files them into the right Slab space with correct tags + attendees. Author confirms, publishes.

Answer questions grounded in Slab

Employees and customers ask Slab-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact Slab record shown alongside the response. No context switching, no "log into Knowledge / Intranet to check" round-trips.

Slab — Frequently Asked Questions

Common questions about connecting BeforeQuery to Slab.

Yes. Retrieval respects the asking user's Slab permissions; users only see answers from pages they can already open. Permission changes propagate on next sync (typically < 5 min).
Standard OAuth 2.0 where Slab supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your Slab data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every Slab integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific Slab objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch Slab for real.

Ready to connect Slab?

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