HRMS migration
Field-level mapping, validation, and rollback between Rippling and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Rippling
Source
Recruit CRM & ATS
Destination
Compatibility
8 of 11
objects map 1:1 between Rippling and Recruit CRM & ATS.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Rippling to Recruit CRM is a focused ATS data migration rather than a full HRIS export. Rippling's unified worker graph includes an ATS module for managing candidates and job openings, but agencies and staffing teams that outgrow its recruitment workflows migrate to Recruit CRM for its dedicated placement pipeline, client relationship management, and recruitment-specific automation. We extract candidate records and associated job data via Rippling's API, map them into Recruit CRM's Candidate, Job, Client, and Contact objects, and handle the schema dependency chain that requires Clients to exist before Contacts, and Jobs before Candidate-to-Job associations. Recruit CRM's API enforces a rate limit of 60 requests per minute for accounts with six or fewer licenses, which governs our batch sizing throughout the migration. Workflows, automations, and Rippling's full HR module data do not migrate; we deliver a written inventory of active ATS workflows for the customer's team to rebuild in Recruit CRM's no-code workflow builder.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Rippling object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Rippling
Worker (ATS context)
Recruit CRM & ATS
Candidate
1:1Rippling Workers in an ATS context (candidates created via Rippling's recruiting module) map to Recruit CRM Candidate records. The candidate's name, email, phone, resume content, and status from Rippling's applicant pipeline map to Recruit CRM's candidate_name, email, phone, resume_file, and status fields. We extract the candidate's source (referral, job board, direct) and preserve it in a custom field for reporting. Active Rippling job applications link to Candidate records via the Candidate-Job association table.
Rippling
Job Opening
Recruit CRM & ATS
Job
1:1Rippling Job Openings map to Recruit CRM Job records. The job title, description, work location, and employment type (full-time, part-time, contract) transfer directly. Rippling's job status (open, filled, closed) maps to Recruit CRM's job status. We handle the pipeline order and stage names as Recruit CRM stage values configured during schema setup. Jobs must import before Candidate-Job associations.
Rippling
Department
Recruit CRM & ATS
Client
1:1Rippling Departments map to Recruit CRM Client records when the customer uses Rippling to track external client relationships (more common in staffing deployments). The department name becomes the client organization name, and the work location address populates the client address fields. If Rippling is used for internal hiring only (no external clients), we scope this mapping to internal organizational units and flag whether the customer needs a separate client structure built in Recruit CRM.
Rippling
Work Location
Recruit CRM & ATS
Client Location (nested)
1:manyRippling Work Locations with distinct addresses map to separate Client Location records in Recruit CRM. Multi-location staffing operations commonly have candidates assigned to different job site locations; we preserve each location's address, city, state, and country as distinct nested records under the parent Client. Location type (onsite, remote, hybrid) migrates as a picklist field on the location record.
Rippling
Contact (ATS context)
Recruit CRM & ATS
Contact
1:1Rippling Contacts created in the ATS context (hiring manager contacts, client contacts) map to Recruit CRM Contact records. The contact's name, email, phone, and title transfer directly. We resolve the Contact-Client relationship by matching the Rippling department or location to the corresponding Recruit CRM Client record. Contacts without a resolved Client parent are held in a reconciliation queue for the customer's admin to assign during cutover validation.
Rippling
Compensation Record
Recruit CRM & ATS
Deal
lossyFor staffing agencies using Recruit CRM's Deals to track placement agreements, Rippling Compensation Records (pay rates, salary bands) serve as the rate-reference data that populates Deal financial fields. The placement fee percentage, margin, and candidate pay rate transfer to Recruit CRM Deal records linked to the Job and Client. This mapping applies only if the customer is actively using Recruit CRM Deals for placement tracking; otherwise, compensation data is preserved as custom fields on the Candidate record.
Rippling
Custom Object
Recruit CRM & ATS
Custom Field (Candidate, Job, Client)
lossyRippling Custom Objects with per-customer field schemas (certifications, skills matrices, equipment assignments) require schema export before any data move. We extract the Custom Object field definitions (API name, data type, required flag) via the Rippling Custom Objects API, then map each to either a Recruit CRM native custom field or a nested custom field structure on the equivalent Recruit CRM object. Recruit CRM's Custom Fields API supports text, number, date, picklist, and boolean types; formula fields and derived fields from Rippling require a documented manual rebuild in Recruit CRM's formula builder.
Rippling
Employment History
Recruit CRM & ATS
Candidate Notes (time-stamped)
1:1Rippling's effective-dated employment history (title changes, compensation changes, transfers) represents prior placement experience for candidates. We extract the employment timeline as a chronological set of notes with a timestamp header, each entry containing job title, company, dates, and key responsibilities, and attach them as time-stamped Notes on the Recruit CRM Candidate record. This preserves the work history narrative without requiring a native employment-history object in Recruit CRM.
Rippling
PTO Balances
Recruit CRM & ATS
Not migrated
1:1PTO accruals and balance snapshots are HR-specific time-sensitive data that have no equivalent in Recruit CRM's ATS data model. We do not migrate PTO data to Recruit CRM. For customers who need PTO records for compliance or audit purposes, we recommend exporting the balance snapshot as a dated CSV for the customer's HR records and flagging that Recruit CRM is not an HRIS.
Rippling
Document (Employee File)
Recruit CRM & ATS
File (attached to Candidate)
1:1Employee documents stored in Rippling (offer letters, resumes, tax forms, certifications) migrate as Files attached to the corresponding Recruit CRM Candidate record. We export document metadata (file name, type, upload date) and, where Rippling's file storage is API-accessible, the binary file content. File attachments are associated to the Candidate via Recruit CRM's file upload API after the Candidate record exists in the destination.
Rippling
Device Enrollment
Recruit CRM & ATS
Not migrated
1:1Rippling's device inventory and MDM enrollment records are IT module data with no equivalent in Recruit CRM. We do not migrate device records. The customer's IT team manages device offboarding separately from the ATS migration.
| Rippling | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Worker (ATS context) | Candidate1:1 | Fully supported | |
| Job Opening | Job1:1 | Fully supported | |
| Department | Client1:1 | Fully supported | |
| Work Location | Client Location (nested)1:many | Fully supported | |
| Contact (ATS context) | Contact1:1 | Fully supported | |
| Compensation Record | Deallossy | Fully supported | |
| Custom Object | Custom Field (Candidate, Job, Client)lossy | Fully supported | |
| Employment History | Candidate Notes (time-stamped)1:1 | Fully supported | |
| PTO Balances | Not migrated1:1 | Mapping required | |
| Document (Employee File) | File (attached to Candidate)1:1 | Fully supported | |
| Device Enrollment | Not migrated1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Rippling gotchas
Per-employee billing surprises on headcount fluctuation
Mandatory Unity Platform prerequisite
PTO balances require cutover-date precision
Custom Objects require schema export before migration
ATS integration sync creates duplicate records
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Scope definition and Rippling module audit
We audit the customer's Rippling account to identify which modules are active and isolate the ATS-specific data from HR and payroll data. We extract the candidate record count, job opening count, active applicant pipeline volumes, and any Custom Object usage in the recruiting context. We also request schema export access for any Custom Objects via the Rippling Custom Objects API. The output is a written scope document that defines exactly what migrates (candidates, jobs, clients, contacts, notes, files, custom fields) and what does not (employees, payroll, PTO, benefits, device enrollment, workflows). The customer signs off before any data extraction begins.
Recruit CRM destination schema preparation
We assess the customer's target Recruit CRM plan (Pro, Business, or Enterprise) to confirm Custom Fields API availability. We create all required Recruit CRM objects and custom fields matching the scope: Candidate custom fields for any Rippling Custom Object data, Job pipeline stage configuration, Client organizational structure, and Contact fields with Client lookup resolution. Recruit CRM's schema is built in the destination tenant before any data import. Schema preparation includes confirming API token access and verifying the rate-limit tier that applies to the customer's license count.
Data extraction and transformation
We extract candidate records, job openings, client and contact data, and engagement records from Rippling via its REST API. For each record type, we apply a field-level transform that maps Rippling field names and data types to Recruit CRM equivalents. Custom Object data is extracted using the schema definitions from step one so that field types are correctly matched. We deduplicate candidates by email address before loading, and we flag any Rippling Worker records that do not have an ATS context (no applicant history, no job application) for the customer's team to handle outside the migration scope. The transform output is a set of staged CSV and JSON files organized by object and ready for Recruit CRM API ingestion.
Parent-record import in dependency order
We ingest data into Recruit CRM in the required dependency sequence. Client records load first (establishing the organization nodes). Job records load second (establishing the position context). Candidate records load third (establishing the applicant base). Contact records with resolved Client lookups load fourth. Candidate-Job association records load fifth (linking applicants to positions). Notes and activity history load sixth. Files and attachments load seventh. Custom field data loads last, after the parent records are confirmed present. Each phase produces a row-count reconciliation report; we do not proceed to the next phase until row counts match the source extract within an agreed tolerance threshold.
Cutover and post-migration validation
We freeze Rippling write access during the cutover window and run a delta extraction for any records created or modified since the initial extract. The delta loads into Recruit CRM before go-live. We perform a spot-check validation on 25-50 randomly selected records across object types, comparing field values in Recruit CRM against the Rippling source record. The customer's recruiting team performs user acceptance testing for 48-72 hours before full cutover. We deliver the workflow inventory document and the custom field schema map at this stage for the customer's team to begin rebuilding Recruit CRM workflows. We provide a one-week hypercare window for reconciliation issues raised during the acceptance period.
Workflow and automation rebuild handoff
We deliver a written inventory of every active Rippling ATS workflow, including its trigger event (applicant stage change, new application, offer sent), conditions, and downstream actions. Each workflow entry includes a recommended Recruit CRM equivalent using Recruit CRM's no-code workflow builder and any applicable recipe templates from the Recruit CRM library. We do not rebuild workflows inside the migration scope. The customer's admin team or a Recruit CRM implementation partner rebuilds the automation logic post-migration.
Platform deep dives
Rippling
Source
Strengths
Weaknesses
Recruit CRM & ATS
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Rippling and Recruit CRM & ATS.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Rippling: Not publicly documented — rate limits are enforced per token but specific thresholds are not published in Rippling's developer documentation.
Data volume sensitivity
Rippling doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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