R
HRIS / HCM / WFM

Rippling AI Integration

Connect Rippling to BeforeQuery for grounded AI answers and agent actions across HRIS / HCM / WFM.

Connect Rippling
What is it?

About Rippling

Rippling is one of the HRIS / HCM / WFM 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 Rippling

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → HRIS / HCM / WFM and select Rippling.

  2. Step 02

    Sign in to Rippling with an account that has permissions to grant BeforeQuery the HRIS / HCM / WFM scopes required.

  3. Step 03

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

Explore

Related integrations

A
ADP

ADP is one of BeforeQuery's HRIS / HCM / WFM integrations. Connect it once and every agent in your workspace can read, reason over, and act on ADP data with your policies + audit trail.

B
BambooHR

BambooHR is one of BeforeQuery's HRIS / HCM / WFM integrations. Connect it once and every agent in your workspace can read, reason over, and act on BambooHR data with your policies + audit trail.

D
Dayforce

Dayforce is one of BeforeQuery's HRIS / HCM / WFM integrations. Connect it once and every agent in your workspace can read, reason over, and act on Dayforce data with your policies + audit trail.

How BeforeQuery uses Rippling

What the agent does with your Rippling connection

  • 01

    Read employee, role, manager, and org data from Rippling to power identity-aware answers everywhere.

  • 02

    Trigger onboarding + offboarding playbooks on Rippling lifecycle events — start dates, role changes, terminations.

  • 03

    Answer HR policy questions ("how much PTO do I have?") grounded in Rippling records + policy documents.

  • 04

    Provision + deprovision access downstream from Rippling — same event fires 40 downstream write actions in the right order.

Use cases

What teams actually do with the Rippling integration

New-hire onboarding cascade

Rippling fires a hire event → BeforeQuery reads the role, team, and manager → provisions Okta account + Slack channels + GitHub team + laptop order + calendar meetings + welcome messages, all in the right order with the right approvals, in under 90 seconds.

Offboarding orchestration

Rippling termination event → BeforeQuery revokes SSO, transfers file ownership, closes tickets, cancels calendar invites, and archives the employee's Slack DMs — the entire deprovisioning cascade tracked to zero orphaned access in under 15 minutes.

HR policy Q&A grounded in Rippling + PTO records

Employees ask "how many days of PTO do I have left?" or "what's my parental leave policy?" — BeforeQuery pulls their record from Rippling, matches against your policy documents, and answers with the specific numbers for that employee.

Answer questions grounded in Rippling

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

Rippling — Frequently Asked Questions

Common questions about connecting BeforeQuery to Rippling.

The minimum set for the playbooks you enable. For onboarding: users, roles, manager relationships, start dates. For PTO Q&A: leave balances + policy. You approve the scope at install; nothing else is pulled. Sensitive fields (comp, PHI) can be excluded even from approved scopes.
Role-change events from Rippling propagate through the Context Graph on next sync (typically < 5 min). Group memberships, approval chains, and access policies re-evaluate automatically. Any playbook that depended on the old role uses the new one on its next run — no manual re-configuration.
Standard OAuth 2.0 where Rippling 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 Rippling 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 Rippling 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 Rippling 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 Rippling for real.

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