HRMS migration
Field-level mapping, validation, and rollback between Jarvi and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Jarvi
Source
Recruit CRM & ATS
Destination
Compatibility
10 of 12
objects map 1:1 between Jarvi and Recruit CRM & ATS.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Jarvi to Recruit CRM is a recruiting-agency data migration that requires resolving several platform-specific structural differences. Jarvi consolidates ATS and CRM records under a unified data model with native multi-channel communication (LinkedIn, email, WhatsApp, Telegram) and an embedded AI agent that generates candidate summaries as linked data points rather than standalone objects. Recruit CRM uses a separate ATS and CRM object structure with a client-facing portal, an AI-powered call note-taker, and over 1,000 third-party integrations accessible via its Chrome extension for sourcing. We extract from Jarvi's unpaginated API endpoint by streaming in chunks, map job-to-candidate pipeline associations, and migrate conversation threads as activity records rather than native conversation objects since Recruit CRM threads messages per Contact without the multi-channel inbox depth Jarvi provides. Workflows, automations, and sequence cadences do not migrate; we deliver a written inventory of every active workflow for the customer's admin to rebuild in Recruit CRM.
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 Jarvi 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.
Jarvi
Candidate
Recruit CRM & ATS
Candidate
1:1Jarvi Candidate records map to Recruit CRM Candidates. Standard fields (name, email, phone, current_title, current_company, location) map directly to the corresponding Recruit CRM candidate fields. Jarvi's status and stage properties map to Recruit CRM's candidate status pipeline. The candidate_skills array from Jarvi's JSON output maps to Recruit CRM's skills custom field (multi-select or text list). Jarvi's candidate rating (1-5 stars) maps to Recruit CRM's rating field. Source attribution (LinkedIn, job board, direct) is preserved in a custom field for reporting.
Jarvi
Contact
Recruit CRM & ATS
Contact
1:1Jarvi CRM Contacts map to Recruit CRM Contacts. The Contact stores company association, lifecycle stage, and multichannel communication history. We preserve the original Jarvi lifecycle stage in a custom field jv_original_lifecycle__c on the Recruit CRM Contact for audit. Contact owner assignment resolves by email match against Recruit CRM users. Any Jarvi Contact without a matching owner is flagged for the customer's admin to provision before record import begins.
Jarvi
Job
Recruit CRM & ATS
Job
1:1Jarvi Job postings and requisitions map directly to Recruit CRM Jobs. Job title, description, location, salary range, employment type, and posting status migrate. The job's associated pipeline stages and stage ordering extract from Jarvi and are mapped to Recruit CRM's pipeline configuration. Posting channel assignments (which job boards the job was published to) are preserved as a custom text field since Recruit CRM manages job board distribution separately within the Jobs module.
Jarvi
Pipeline Stages
Recruit CRM & ATS
Pipeline Stages
lossyJarvi's custom pipeline stage definitions per job or per CRM deal extract as a stage schema alongside each record. We map each Jarvi stage name and position to a corresponding Recruit CRM stage, preserving the win and loss state flags. If Recruit CRM lacks an equivalent stage (for example, a Jarvi-specific screening stage), we create the stage in Recruit CRM's pipeline configuration before migration begins.
Jarvi
Job-to-Candidate Association
Recruit CRM & ATS
Candidate Job Link
1:1Jarvi's job-to-candidate associations are first-class links stored alongside each Candidate record's job assignments. We extract the job_id and candidate_id pair, resolve the job reference in Recruit CRM (which requires the Job record to already exist), and create the association by updating the candidate record's associated_jobs field in Recruit CRM. This step requires Jobs to migrate before Candidates or requires us to create placeholder Job stubs first and reconcile after the full Job migration completes.
Jarvi
Activity
Recruit CRM & ATS
Activity
1:1Jarvi Activity records (emails sent, LinkedIn messages, calls, meetings, tasks) map to Recruit CRM Activities. The activity type, timestamp, subject, body, and channel attribution migrate. We preserve the parent reference (candidate_id or contact_id) so the activity appears on the correct record in Recruit CRM. Call duration and disposition from Jarvi map to Recruit CRM's call_log custom fields. Meeting details (attendees, location, start/end time) map to Recruit CRM's meeting activity type.
Jarvi
Company
Recruit CRM & ATS
Organization
1:1Jarvi Company records map to Recruit CRM Organizations. Company name, industry, size tier, revenue tier, website, and address fields migrate directly. Company owner assignment resolves by email against Recruit CRM users. Multiple Contacts associated with the same Company in Jarvi link to the same Organization record in Recruit CRM with individual Contact records beneath it.
Jarvi
Custom Fields
Recruit CRM & ATS
Custom Fields
1:1Jarvi exposes a UUID-based Custom Fields API for Candidates and Contacts with types including text, number, date, and dropdown. We retrieve the field schema before migration and create matching custom fields in Recruit CRM (using Recruit CRM's per-object field builder). Dropdown fields in Jarvi map to picklist fields in Recruit CRM with the same option values preserved. Text and number fields map directly. Any custom field type without a Recruit CRM equivalent (for example, a Jarvi-specific rating matrix) is stored as a custom text field with the original values preserved as JSON.
Jarvi
Attachments
Recruit CRM & ATS
Resume / Document
1:1Resumes, cover letters, and uploaded documents attach to Jarvi Candidate profiles as file metadata and reference URLs. We export attachments alongside candidate records, mapping them to the Recruit CRM candidate's resume and document upload fields. File hosting URLs from Jarvi are preserved as reference links if Recruit CRM does not support direct file hosting. We flag any attachment that exceeds Recruit CRM's file size limit and offer a storage strategy during scoping.
Jarvi
Conversation
Recruit CRM & ATS
Activity (per-channel)
1:manyJarvi threads messages across LinkedIn InMail, email, WhatsApp, Telegram, and SMS into a unified conversation view. Recruit CRM does not have an equivalent unified conversation object; instead, each message type appears as a separate activity record (email_activity, call_log, sms_activity). We split the conversation thread by channel attribution stored in Jarvi's message records and import each message as an individual activity linked to the parent Candidate or Contact. Channel attribution (LinkedIn, WhatsApp, etc.) is preserved in a custom field on each activity record so the customer's team can filter by source channel.
Jarvi
AI Summaries
Recruit CRM & ATS
Custom Text Field
1:1Jarvi's AI agent produces candidate summaries, profile evaluations, and outreach suggestions as linked data points on the candidate record rather than standalone objects. When migrating to Recruit CRM, these summaries land as a custom text field (ai_summary__c) on the candidate record. If the customer's Recruit CRM plan does not include custom fields on the Candidate object, we flag the orphaned AI data and offer a post-migration re-generation step using Recruit CRM's own AI tools. The original Jarvi summary text is preserved in the custom field so no AI-generated content is lost during migration.
Jarvi
Owner
Recruit CRM & ATS
User
1:1Jarvi Owners (recruiters and admins) map to Recruit CRM Users. We resolve owners by email match against the Recruit CRM destination user table. Any Jarvi Owner without a matching Recruit CRM User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Active and inactive status is preserved so that inactive Jarvi users do not automatically activate in Recruit CRM.
| Jarvi | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Candidate | Candidate1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| Pipeline Stages | Pipeline Stageslossy | Mapping required | |
| Job-to-Candidate Association | Candidate Job Link1:1 | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Custom Fields | Custom Fields1:1 | Mapping required | |
| Attachments | Resume / Document1:1 | Mapping required | |
| Conversation | Activity (per-channel)1:many | Fully supported | |
| AI Summaries | Custom Text Field1:1 | Mapping required | |
| Owner | User1:1 | 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.
Jarvi gotchas
Profile import endpoint is unpaginated
AI-generated profile summaries are not native objects
LinkedIn data freshness depends on sync schedule
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 scoping
We audit the source Jarvi account across candidate volume, contact volume, job count, pipeline stage schemas (per-job and per-deal), activity history depth, custom field definitions, attachment file sizes, and owner roster. We also identify conversation thread volume and channel distribution to scope the per-channel activity split. The discovery output is a written migration scope document with record counts per object, a custom field mapping matrix, and a recommended Recruit CRM plan based on the customer's record and integration requirements.
Schema pre-creation in Recruit CRM
We create the destination schema in Recruit CRM before any data moves. This includes creating any custom fields needed to receive Jarvi's custom field data (including the ai_summary__c field for AI summaries and channel attribution fields for split conversation records), configuring pipeline stages to match Jarvi's stage schema, and provisioning placeholder Job records if the job-to-candidate association migration requires parent-record resolution in advance. Schema creation happens in a Recruit CRM trial or sandbox environment for validation before production migration.
Streaming extraction from Jarvi's unpaginated API
We extract all objects from Jarvi using a streaming, chunked approach to handle the unpaginated profiles endpoint without timeout or memory failure. Candidate records are extracted in batches and written to an intermediate staging layer. Activity records are extracted with parent-record references preserved (candidate_id and contact_id) for later lookup resolution. Conversation threads are split by channel attribution at extraction time so that the channel metadata is preserved before the per-channel activity import begins.
Owner reconciliation and user provisioning
We extract every distinct Jarvi Owner referenced across Candidates, Contacts, Jobs, and Activities and match by email against the Recruit CRM destination's user table. Owners without a matching Recruit CRM user go to a reconciliation queue. The customer's admin provisions any missing users before record import begins. Migration cannot proceed past this step because owner references are required on most standard object inserts in Recruit CRM.
Production migration in dependency order
We run production migration in record-dependency order: Jobs (or placeholder Jobs for association resolution), Organizations (from Jarvi Companies), Candidates (with job-association references resolved against the Job layer), Contacts, Custom Field values (populated after the parent record exists), Activities (Tasks, Calls, Meetings, Emails via bulk insert), Conversation records (per-channel split), Attachments (linked to parent Candidates), and AI Summaries (custom text field population last). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation inventory delivery
We freeze Jarvi writes during cutover, run a final delta migration of any records modified during the migration window, then enable Recruit CRM as the system of record. We deliver a written inventory of every active Jarvi workflow and automation with its trigger conditions, actions, and recommended Recruit CRM equivalent. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Jarvi workflows as Recruit CRM automations inside the migration scope; that is a separate engagement.
Platform deep dives
Jarvi
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 Jarvi 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
Jarvi: Not publicly documented..
Data volume sensitivity
Jarvi 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
Pick a category, then your source and destination platforms.
Category
FAQ
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