HRMS migration
Field-level mapping, validation, and rollback between X0PA AI and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
X0PA AI
Source
Recruit CRM & ATS
Destination
Compatibility
9 of 10
objects map 1:1 between X0PA AI and Recruit CRM & ATS.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from X0PA AI to Recruit CRM is a CSV-primary migration constrained by X0PA AI's lack of a published developer API. We work from structured export files generated in X0PA AI — covering Jobs, Candidates, Assessments, Interviews, Offers, and Users — and map each record type into Recruit CRM's unified ATS plus CRM object model. X0PA's proprietary AI scoring values (CV relevance, predictive performance, and predictive loyalty probabilities computed by X0PA's gradient boosting model) are non-portable; we flag every AI-score field during import scoping and clearly label them as reference-only data. Interview recordings stored in X0PA Room remain infrastructure-bound with no documented export path. RPO workflow definitions, stage routing rules, and client-specific pipeline logic require manual reconstruction in Recruit CRM, which we document in detail during scoping. Workflows, sequences, and automations do not migrate; we deliver a written inventory for the customer's admin to rebuild.
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 X0PA AI 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.
X0PA AI
Jobs/Requisitions
Recruit CRM & ATS
Job
1:1X0PA AI job records map to Recruit CRM Job records. We extract Job Title, Description, Location, Department, Employment Type, and open/closed status from CSV exports. Recruit CRM supports multiple job statuses and customizable pipelines per job, so X0PA workflow stage names for each job are mapped individually during the CSV field-mapping phase. Active versus archived job state migrates as the Job status field. Any job with a custom stage set in X0PA RPO mode is flagged for manual pipeline reconstruction in Recruit CRM.
X0PA AI
Candidates
Recruit CRM & ATS
Candidate
1:1X0PA AI Candidate records map to Recruit CRM Candidate records, which serve as the unified contact object in Recruit CRM's ATS+CRM model. We map all standard contact fields including name, email, phone, address, current company, current title, and source. All X0PA AI-generated scoring fields (CV relevance score, predictive performance score, predictive loyalty score) are flagged as read-only reference fields in Recruit CRM with a migration_note prefix indicating they were computed in X0PA and cannot be recalculated. Resume files attached to candidate records are mapped as document attachments in Recruit CRM.
X0PA AI
Assessments
Recruit CRM & ATS
Candidate (custom fields)
1:1X0PA AI assessment records including the Persona behavioral assessment module map to custom fields on the Candidate record in Recruit CRM. Assessment type, completion status, score, and date migrate as discrete fields. Persona Match behavioral traits (task-oriented vs people-oriented) are stored as text or picklist fields in Recruit CRM. The raw AI interpretation of behavioral fit cannot be reconstructed outside X0PA and is labeled as X0PA reference data in the destination.
X0PA AI
Interviews
Recruit CRM & ATS
Candidate > Interview sub-records or Tasks
1:1X0PA AI interview records (scheduled datetime, interviewer assignment, interview type, and automated scheduling status) map to interview sub-records within the Candidate object or to Tasks in Recruit CRM. X0PA AI Room recording and transcription data does not migrate as no documented export endpoint exists for these media files; we note this limitation explicitly in the scoping document and recommend customers request media exports directly from X0PA support before migration begins. Scheduling status and interviewer assignment transfer as structured fields.
X0PA AI
Offers
Recruit CRM & ATS
Candidate > Offer sub-record
1:1X0PA AI Offer records including status, compensation details, start date, and candidate association map to Offer sub-records attached to the Candidate in Recruit CRM. Offer history and versioned changes are preserved as sequential Offer entries with a status and timestamp. Recruit CRM's offer management covers compensation, start date, and offer status tracking natively.
X0PA AI
Users/Hiring Managers
Recruit CRM & ATS
Users
1:1X0PA AI user accounts including role assignments (Recruiter, Hiring Manager, Admin, RPO Client) map to Recruit CRM User accounts. We resolve by email match and map role assignments to Recruit CRM's permission model (Admin, Recruiter, Hiring Manager, or Client access). Active and inactive status is preserved. Any X0PA user without a matching email in the destination is held in a reconciliation queue for the customer's admin to provision.
X0PA AI
RPO Client Records
Recruit CRM & ATS
Client
1:1X0PA AI RPO tier client records including client name, billing contact, and contract status map to Recruit CRM Client records with a custom RPO tag to preserve the X0PA RPO relationship context. Client-specific workflow routing rules and stage configurations are documented in the scoping form as manual reconstruction items. Recruit CRM does not include native RPO invoice management; we flag this gap and note that billing and contract management require either Recruit CRM's billing module or a separate finance tool integration.
X0PA AI
Pipeline/Workflow Stages
Recruit CRM & ATS
Pipeline Stages (custom fields)
lossyX0PA AI custom workflow stages per job or per RPO client are exported as structured stage names and ordering. We reconstruct pipeline stages in Recruit CRM as configurable pipeline stages on each Job. Stage routing rules and conditional logic from X0PA RPO are documented in the migration scoping form and handed to the customer as a configuration checklist for manual rebuild. Automated routing rules do not have a documented export format and cannot be migrated programmatically.
X0PA AI
Internal Talent Pool
Recruit CRM & ATS
Candidate > Tags
1:1X0PA AI internal talent pool membership is exported as candidate pool labels or list membership tags. These map to Candidate tags in Recruit CRM, preserving the sourcing and retargeting context. The X0PA AI 250M+ external profile database is X0PA infrastructure-bound and does not migrate; only candidates already processed through X0PA AI as structured records are in scope.
X0PA AI
Internal Talent Pool membership
Recruit CRM & ATS
Candidate > Custom List Membership
1:1For organizations that use X0PA AI's talent pool retargeting feature to maintain segmented candidate lists, we export the pool membership relationship as Candidate tags or list membership in Recruit CRM. The mapping uses candidate email or unique identifier as the lookup key. Any candidate with multiple pool assignments receives multiple tags in Recruit CRM.
| X0PA AI | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Jobs/Requisitions | Job1:1 | Fully supported | |
| Candidates | Candidate1:1 | Fully supported | |
| Assessments | Candidate (custom fields)1:1 | Mapping required | |
| Interviews | Candidate > Interview sub-records or Tasks1:1 | Mapping required | |
| Offers | Candidate > Offer sub-record1:1 | Fully supported | |
| Users/Hiring Managers | Users1:1 | Mapping required | |
| RPO Client Records | Client1:1 | Mapping required | |
| Pipeline/Workflow Stages | Pipeline Stages (custom fields)lossy | Mapping required | |
| Internal Talent Pool | Candidate > Tags1:1 | Mapping required | |
| Internal Talent Pool membership | Candidate > Custom List Membership1:1 | 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.
X0PA AI gotchas
No documented public API with published auth or bulk export
AI scoring data is platform-locked and non-portable
X0PA Room interview recordings are infrastructure-bound
Enterprise pricing is opaque and requires sales negotiation
Custom RPO workflows require manual mapping to destination pipeline schema
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
Discovery and export coordination
We audit the X0PA AI account across tier (Lite, Recruiter, RPO, Academia, or Enterprise), record volumes for each object type, custom RPO workflow configurations, AI scoring field usage, and X0PA Room activation status. We coordinate with the customer to generate and validate CSV exports from X0PA AI, flagging which exports require X0PA support assistance. We simultaneously map the destination Recruit CRM account structure including job pipelines, client records, and user roles. The discovery output is a written migration scope with object inventory, export dependency list, and a Recruit CRM configuration plan.
CSV field mapping and data cleansing
We build a field-mapping matrix between every X0PA AI CSV column header and its Recruit CRM equivalent. This includes resolving X0PA's nested fields (such as assessment scores nested within candidate records) into flat Recruit CRM custom fields. We identify and flag AI-score fields, X0PA Room recording references, and any record types with no Recruit CRM equivalent. We run deduplication logic on candidate records using email as the primary key and flag duplicate candidates for customer review before import.
Recruit CRM sandbox validation
We configure a Recruit CRM sandbox environment with the agreed pipeline stages, client record structure, user roles, and custom fields. We run a trial import of a subset of X0PA AI data (typically 200-500 candidate records) to validate field mappings, verify that custom fields render correctly, and confirm that candidate-to-job associations map correctly. The customer's team reviews the sandbox import and signs off before production migration begins. Any mapping corrections are documented and applied to the production import plan.
RPO pipeline reconstruction documentation
For customers on X0PA RPO tier, we extract the RPO client list, client-specific pipeline stage names, and workflow routing logic from X0PA exports and customer scoping forms. We document each client's pipeline as a Recruit CRM pipeline configuration checklist, including stage names, stage order, routing responsibilities, and any conditional logic. This document is handed to the customer during step five and does not form part of the automated migration scope.
Production migration in dependency order
We run production migration in record-dependency order: Users and Hiring Managers first (with email-based matching), followed by Client records (for RPO customers), then Jobs, then Candidates (with job associations resolved), then Interview records, then Offers, then talent pool tags and custom list memberships. Assessment data and Persona module results are written as custom fields on Candidate records. AI-score fields are written as labeled reference fields. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta migration, and workflow handoff
We freeze X0PA AI writes during cutover, run a final delta migration of any records created or modified during the migration window, then enable Recruit CRM as the system of record. We deliver the RPO pipeline reconstruction checklist, the AI-score field reference document, and the interview recording gap notice to the customer's admin team. We do not rebuild X0PA AI workflows, sequences, or automations in Recruit CRM; that work is documented and handled by the customer's team as a separate configuration task. We support a one-week post-cutover reconciliation window to resolve data quality issues raised by the recruiting team.
Platform deep dives
X0PA AI
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 X0PA AI 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
X0PA AI: Not publicly documented.
Data volume sensitivity
X0PA AI 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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Category
FAQ
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