CP
ATS / Recruiting

Checkr Partner AI Integration

Connect Checkr Partner to BeforeQuery for grounded AI answers and agent actions across ATS / Recruiting.

Connect Checkr Partner
What is it?

About Checkr Partner

Checkr Partner is one of the ATS / Recruiting 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 Checkr Partner

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → ATS / Recruiting and select Checkr Partner.

  2. Step 02

    Sign in to Checkr Partner with an account that has permissions to grant BeforeQuery the ATS / Recruiting scopes required.

  3. Step 03

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

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How BeforeQuery uses Checkr Partner

What the agent does with your Checkr Partner connection

  • 01

    Read candidate pipelines from Checkr Partner to give recruiters, hiring managers, and executives live status without opening the ATS.

  • 02

    Draft interview follow-ups, rejection emails, and candidate-experience touch-ups grounded in your interview notes and rubrics.

  • 03

    Auto-tag and route new Checkr Partner candidates by skill match, seniority, or requisition fit.

  • 04

    Coordinate the panel: schedule interviews, send prep packets, collect scorecards — all triggered by Checkr Partner stage transitions.

Use cases

What teams actually do with the Checkr Partner integration

Interview-stage automation

When a candidate advances to on-site in Checkr Partner, a playbook drafts the calendar invites for the panel, sends the candidate a prep packet with your travel-and-logistics doc, and sets a scorecard-due reminder for interviewers 24 hours after the interview.

Rejection email drafts grounded in interview notes

When a candidate is moved to "rejected" in Checkr Partner, BeforeQuery drafts a personalized rejection email that references the specific stage they reached and (optionally, per your policy) high-level feedback — without exposing individual interviewer notes.

Pipeline health digest

Weekly summary of Checkr Partner pipeline movement — new candidates per req, stage-conversion rates, time-in-stage anomalies, upcoming interviews. Delivered to hiring managers in Slack; drill-down back to Checkr Partner on click.

Answer questions grounded in Checkr Partner

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

Checkr Partner — Frequently Asked Questions

Common questions about connecting BeforeQuery to Checkr Partner.

Yes, gated by your approval matrix. Stage-forward moves (schedule interview, extend offer) are typically approver-required; stage-back moves (reject, hold) can be autopilot with a reason logged. All moves reversible via the audit trail.
No — BeforeQuery is read-and-write scoped, not a ranking replacement. Your ATS's own scoring is untouched. BeforeQuery draws on the same data to answer questions, draft communications, and orchestrate downstream actions.
Standard OAuth 2.0 where Checkr Partner 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 Checkr Partner 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 Checkr Partner 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 Checkr Partner 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 Checkr Partner for real.

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