PD
Sales Engagement

People Data Labs AI Integration

Connect People Data Labs to BeforeQuery for grounded AI answers and agent actions across Sales Engagement.

Connect People Data Labs
What is it?

About People Data Labs

People Data Labs is one of the Sales Engagement 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 People Data Labs

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → Sales Engagement and select People Data Labs.

  2. Step 02

    Sign in to People Data Labs with an account that has permissions to grant BeforeQuery the Sales Engagement scopes required.

  3. Step 03

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

Explore

Related integrations

A
Aimfox

Aimfox is one of BeforeQuery's Sales Engagement integrations. Connect it once and every agent in your workspace can read, reason over, and act on Aimfox data with your policies + audit trail.

A
Apollo

Apollo is one of BeforeQuery's Sales Engagement integrations. Connect it once and every agent in your workspace can read, reason over, and act on Apollo data with your policies + audit trail.

B
BetterContact

BetterContact is one of BeforeQuery's Sales Engagement integrations. Connect it once and every agent in your workspace can read, reason over, and act on BetterContact data with your policies + audit trail.

How BeforeQuery uses People Data Labs

What the agent does with your People Data Labs connection

  • 01

    Read call recordings, cadence performance, and rep activity from People Data Labs into the Context Graph.

  • 02

    Draft personalized outreach grounded in People Data Labs conversation history + prospect research.

  • 03

    Auto-log activities, create tasks, and update sequences from playbooks.

  • 04

    Coach reps: surface talk-track patterns, objection frequency, and win/loss signals grounded in People Data Labs data.

Use cases

What teams actually do with the People Data Labs integration

Rep-coaching digest

Weekly, BeforeQuery reviews each rep's People Data Labs calls, tags moments of strong discovery + moments where the buyer wasn't ready, and drafts a coaching note. Manager reviews and shares. Data-grounded coaching at scale.

Deal-risk detection

Cross-references People Data Labs activity (calls, emails, meetings) with CRM stage. Deals with declining activity or stalled conversations get flagged for AE + manager review before they slip.

Follow-up drafts from calls

After every People Data Labs call, BeforeQuery drafts a personalized follow-up email referencing specific moments from the conversation (pain points, action items). Rep reviews, sends. Follow-up latency drops from days to hours.

Answer questions grounded in People Data Labs

Employees and customers ask People Data Labs-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact People Data Labs record shown alongside the response. No context switching, no "log into Sales Engagement to check" round-trips.

People Data Labs — Frequently Asked Questions

Common questions about connecting BeforeQuery to People Data Labs.

Yes, if scoped. Transcripts feed the Context Graph for coaching + drafting playbooks. Audio itself isn't sent to LLMs — only text. Sensitive calls (comp, legal) can be excluded from ingestion.
Standard OAuth 2.0 where People Data Labs 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 People Data Labs 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 People Data Labs 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 People Data Labs 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 People Data Labs for real.

Ready to connect People Data Labs?

Start free. No credit card required. Connect your first integration in under 5 minutes.

Get started free