HR integration guide
Rippling + UbiGrowth workflows
Rippling is a workforce platform combining HR, payroll, and IT provisioning around a single employee record. This guide covers the records that matter, how the connection should be scoped, and what the first bounded workflow should be.
Introduction
Make Rippling part of the workflow, not another silo.
Validate connector availability for your workspace
This guide covers how a team designs a HR workflow around Rippling with UbiGrowth: which records stay authoritative, how the connection should be scoped, what the first bounded workflow should be, and how to tell whether it worked.
The records that matter are Employee, Group, App, Device, Time Entry, Role, and Leave Request. Rippling ties HR, IT provisioning, and payroll to one employee record deliberately, so a change to employment status cascades into app access and device state. That cascade is the product, and an external write can trigger it.
Rippling is not currently on UbiVibe's verified connector list. This page is an implementation design reference: use it to specify the workflow, then validate whether the connection is available and correctly scoped for your workspace before you make it a dependency. The verified UbiVibe connections today are Salesforce, HubSpot, Gmail, Google Drive, Slack, and GitHub.
The platform layer is the usual destination for this connection, because the value shows up as governed context and execution shared across more than one team.
Why teams evaluate this connection
Integrations create value when they remove operating friction.
The first design decision is not which API endpoint to call; it is which system owns the record, what event should trigger work, who owns the exception path, and what successful completion means.
HR systems hold the most sensitive data in the company and are usually the least connected, for good reason. Anything reading Rippling is reading personal data, and the default answer to a casual integration request should be no.
That caution has a cost, though. People-operations work is full of repetitive coordination — onboarding checklists, access requests, candidate scheduling, document collection — that stays manual because the systems that could automate it are the ones nobody wants to connect broadly.
You're likely here because
- Onboarding and offboarding run on a manual checklist
- Candidate or employee coordination consumes disproportionate time
- People data cannot be connected without a privacy review nobody has scheduled
Record model
What a Rippling integration actually reads and writes.
Integration design starts from the objects the system really exposes, not from a generic connector diagram. These are Rippling's.
Identity and matching
Rippling ties HR, IT provisioning, and payroll to one employee record deliberately, so a change to employment status cascades into app access and device state. That cascade is the product, and an external write can trigger it.
Start here
Read pending departures and verify that app access and device return are actually complete before the last day, rather than after.
What this will not do
It will not be a safe place for speculative automation. Read broadly; write only where the consequence has been explicitly accepted.
The constraint to plan around
Because provisioning is downstream of the employee record, a mistaken write revokes real access immediately. Treat any write path as production identity management.
Build notes
What you actually have to reason about in Rippling.
The fields that carry meaning, how the connection authenticates, and whether the event surface can be trusted. This is the part that decides whether the integration works in month three.
| Field | Why it matters |
|---|---|
| employment status | drives app provisioning and device state as a cascade |
| app access grants | the IT side of the employee record, which is the product's differentiator |
| device assignment | the hardware tied to a person, relevant at offboarding |
| start / termination date | the triggers for the provisioning cascade |
| group membership | the basis of role-based access assignment |
Authentication
OAuth with scopes per data domain, or an API key for a custom integration. Because the platform spans HR, IT, and payroll, scopes should be narrow — an HR read does not need IT write.
Events and delivery
Webhooks cover employee lifecycle events. These are the correct trigger for onboarding and offboarding automation, and they are timely.
Workflow
How the Rippling workflow runs.
The operating sequence, from reading the source system through to the result landing back where it belongs.
Step 01
Complete the privacy review
The data-protection assessment happens before the connection exists, and defines what is in and out of scope.
Step 02
Connect at the narrowest scope
Only the Rippling fields the named workflow requires are connected, with sensitive categories excluded by explicit decision.
Step 03
Coordinate, do not decide
The workflow tracks tasks, sends reminders, and schedules, while every decision affecting an individual stays with a person.
Step 04
Surface status without exposing detail
Progress is visible to the people who need it without opening the underlying personal records more widely than the workflow requires.
Design decisions
The HR decisions this connection forces.
Each of these has to be settled before the Rippling workflow is allowed to write anything.
Step 01
Scope to one workflow, not to the system
Connect Rippling for a specific workflow with the narrowest access that supports it. Employee data should never be connected broadly because it might be useful later.
Step 02
Exclude sensitive categories deliberately
Compensation, health, performance, and disciplinary data should be excluded by explicit decision rather than by assuming a scope will not reach them.
Implementation path
How to implement the Rippling workflow.
- 01
Complete the privacy and data-protection review before connecting anything; this is a prerequisite, not a follow-up task.
- 02
Pick one workflow — coordination, scheduling, or status — and scope the Rippling connection to exactly what it needs.
- 03
Document which data categories are explicitly excluded and confirm the scope cannot reach them.
- 04
After offboarding verification works, add access-review reporting so long-tenured employees' accumulated access is periodically questioned.
Governance
Controls that matter.
Control 01
Employment decisions stay with people. Automation coordinates and prepares; it does not evaluate or decide.
Control 02
Access is scoped to a named workflow, reviewed on a schedule, and revoked when the workflow ends.
Control 03
Compensation, health, performance, and disciplinary data are excluded unless there is a specific, reviewed reason to include them.
Failure modes
How a Rippling integration breaks in production.
Not generic integration advice. These follow from how this system actually behaves, which is why they look nothing like the list on the next guide over.
Symptom 01
A working employee loses access to everything.
Cause
An employment status write cascaded into deprovisioning.
Fix
Treat status writes as production identity changes with review, never as data updates.
Symptom 02
Offboarding completes but access remains.
Cause
The workflow assumed the cascade rather than verifying it.
Fix
Verify app access and device state after the trigger rather than trusting it.
Symptom 03
An integration reads more personal data than needed.
Cause
Scopes were granted broadly to make an error go away.
Fix
Scope per data domain; an HR read does not need IT write.
What changes at scale
Volume scales with headcount. The operational concern is blast radius rather than throughput, because every write is an identity operation.
Examples
What a working Rippling workflow looks like.
Bounded scenarios rather than a feature list. Each one can be verified against work the team already does.
People operations
With Rippling connected at a narrow scope, a coordination workflow can run from real records instead of a manually-maintained checklist.
Onboarding coordination
Tasks, access requests, and document collection are tracked as records with owners and status, so the checklist is not held in one person's head.
Limitations and considerations
What to validate before you depend on this.
- Because provisioning is downstream of the employee record, a mistaken write revokes real access immediately. Treat any write path as production identity management.
- Employment status changes cascade into revoking application access and device state immediately. A mistaken write locks a working employee out of everything, in real time.
- For any speculative or unattended write. Read broadly, and treat every write path as production identity management with the review that implies.
- Rippling holds personal data. Connecting it requires a privacy and data-protection assessment before, not after, implementation.
- Employment decisions are legally regulated in most jurisdictions. Automated assistance must keep the human decision explicit and documented.
FAQ
Rippling integration questions.
What records does a Rippling integration actually work with?
The primary records are Employee, Group, App, Device, Time Entry, Role, and Leave Request. Rippling ties HR, IT provisioning, and payroll to one employee record deliberately, so a change to employment status cascades into app access and device state. That cascade is the product, and an external write can trigger it.
What should the first Rippling workflow be?
Read pending departures and verify that app access and device return are actually complete before the last day, rather than after.
What will a Rippling integration not do?
It will not be a safe place for speculative automation. Read broadly; write only where the consequence has been explicitly accepted.
What is the main constraint to plan around?
Because provisioning is downstream of the employee record, a mistaken write revokes real access immediately. Treat any write path as production identity management.
What changes about a Rippling integration at scale?
Volume scales with headcount. The operational concern is blast radius rather than throughput, because every write is an identity operation.
How does authentication work for Rippling?
OAuth with scopes per data domain, or an API key for a custom integration. Because the platform spans HR, IT, and payroll, scopes should be narrow — an HR read does not need IT write.
Does Rippling support webhooks, and can they be trusted?
Webhooks cover employee lifecycle events. These are the correct trigger for onboarding and offboarding automation, and they are timely.
What is the risk of writing to Rippling?
Employment status changes cascade into revoking application access and device state immediately. A mistaken write locks a working employee out of everything, in real time.
When is connecting Rippling the wrong call?
For any speculative or unattended write. Read broadly, and treat every write path as production identity management with the review that implies.
What should a Rippling integration automate first?
Start with one bounded workflow that removes a measurable handoff, duplicate-entry step, reporting delay, or follow-up gap. Expand only after the first workflow is reliable.
Does UbiGrowth require Rippling to be replaced?
No. The operating model is designed around connecting to systems that should remain authoritative and building workflows around them rather than forcing a wholesale replacement.
Is connector availability identical for every workspace?
No. Availability can depend on provider configuration, authentication, scopes, workspace setup, and deployment state. Validate the required connection before treating it as an operational dependency.
Is it safe to connect Rippling?
Only at a narrow, reviewed scope for a specific workflow, after your own privacy assessment. Employee data should not be connected broadly on the chance it becomes useful.
Can this screen or evaluate people?
No. Employment decisions stay with people. These workflows coordinate, schedule, and track — they do not evaluate individuals.
What data should be excluded?
Compensation, health, performance, and disciplinary data unless there is a specific, reviewed reason to include it. Exclusion should be an explicit decision.
How this access is governed
What ARIA is allowed to do in Rippling, and who decides.
Connecting Rippling is a permission decision, not just a setup step. These are the controls that decide what ARIA can reach, what it can change, what gets recorded, and how you take the access back.
Required permissions
ARIA works through the scopes the connection was granted, and no others. Authorization happens at the provider, so the permissions being requested are shown by the system itself before anything is connected.
What it can reach
Reachable systems are the intersection of what your organization approved in the connector registry and what the requesting identity is permitted to use. Identity resolves before execution, not after.
What it can do
Actions run through explicit execution paths with state, spend, and failure boundaries — a bounded worker path rather than an open-ended agent loop with a credential.
Credential handling
Credentials live in the governed connection layer and are resolved through canonical connection identity. They are not pasted into individual workflows, prompts, or generated artifacts.
Action logging
Execution carries state and traces: what triggered the work, which connection it used, and what came back — including an explicit failure when something did not run.
Approval and revocation
Consequential actions can be made to require a person to approve them. Access can be changed or revoked at the connection, and ARIA loses that reach without unpicking the work already completed.
Start with ARIA
Ask ARIA to run this integration.
Describe the outcome you need across this system. ARIA works out the scopes, data, and actions the job requires, and operates inside the access you grant — which you can change or revoke.
- ARIA acts only through the systems and permissions you connect.
- Connections use scoped credentials you can change or revoke.
- Actions are recorded, and consequential ones can require approval.
Start here
Turn the integration into a working business outcome.
Start with ARIA to describe the outcome, then continue into the product path that fits the workflow. Connector availability and required scopes should be validated for the specific workspace before production use.