HRMS migration
Field-level mapping, validation, and rollback between Jarvi and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Jarvi
Source
BambooHR
Destination
Compatibility
8 of 10
objects map 1:1 between Jarvi and BambooHR.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Jarvi is an ATS and CRM built for recruiting agencies; BambooHR is an HRIS built for small and medium businesses that added a hiring module as an add-on. These are different system categories, and the migration scope reflects that. We migrate Jarvi Contacts (client-facing recruiter relationships) into BambooHR as Employee records when the contact is a current or former staff member, and we preserve Jarvi Company records as organizational context. We do not migrate Candidates or Jobs into BambooHR's core employee model because candidates are not employees and BambooHR's applicant tracking is a separate module with a different data model. We deliver a written inventory of all Jarvi Jobs and pipeline stages for your BambooHR admin to recreate in the hiring module. Custom fields migrate via BambooHR's field-ID schema fetch, and we apply exponential backoff for BambooHR's undocumented rate limits throughout the process.
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 BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Jarvi
Contact
BambooHR
Employee
1:1Jarvi Contacts (recruiter client relationships, internal staff contacts) map to BambooHR Employee records. The mapping requires a pre-migration segmentation step: Contacts who are current or former staff members migrate as BambooHR Employees with full employee fields populated; external client contacts that are not employed by the customer's organization cannot map to BambooHR Employees (BambooHR enforces per-employee licensing). For external contacts, we export them as a CSV reference document attached to the migration handoff. Email, phone, company association, and custom Contact fields migrate to the corresponding BambooHR employee fields fetched via GET /v1/meta/fields.
Jarvi
Company
BambooHR
Employee (workLocation + custom org fields)
lossyJarvi Company records (firmographic data on client organizations) do not have a direct BambooHR equivalent because BambooHR is employee-centric rather than account-centric. We map Company name and industry to custom text fields on the Employee record or to a BambooHR custom lookup table (implemented as a custom Employee field) if the customer uses BambooHR's custom field API. Location data maps to BambooHR workLocation. This is a structural limitation of the ATS-to-HRIS migration and is flagged during scoping.
Jarvi
Candidate
BambooHR
Applicant (BambooHR Hiring module)
1:1Jarvi Candidates cannot migrate directly into BambooHR's core Employee object because candidates are not current employees. BambooHR offers a separate Hiring module for applicant tracking, but it is a bolt-on module with a different object model (Applicants, Job Openings, Pipeline Stages) rather than a native ATS equivalent. We export all Candidate records as a structured CSV with all standard and custom fields for the customer's BambooHR admin to manually import into the BambooHR Hiring module. AI-generated candidate summaries from Jarvi export as a custom text column in that CSV.
Jarvi
Job
BambooHR
Job Opening (BambooHR Hiring module)
1:1Jarvi Jobs (requisitions and postings) map conceptually to BambooHR Job Openings in the Hiring module, but the object schemas are not compatible for direct API-to-API migration. We export Jobs as a structured data document including job title, description, posting channels, associated pipeline stages, and candidate count per stage. The customer's BambooHR admin recreates these as Job Openings in the Hiring module. Job-to-candidate associations are preserved in the candidate export CSV so they can be re-established manually in BambooHR Hiring.
Jarvi
Pipeline Stage
BambooHR
Hiring Pipeline Stage (BambooHR Hiring module)
lossyJarvi custom pipeline stage definitions per Job do not have a direct BambooHR equivalent in the core HRIS. Stages map to BambooHR Hiring pipeline stages (Offer, Interview, Application Review) only if the customer licenses the BambooHR Hiring module. We extract the complete stage schema (names, ordering, win/loss states) as a configuration inventory for the admin to rebuild in the Hiring module. Stage-specific candidate counts are included in the Job export.
Jarvi
Activity
BambooHR
Not migratable
1:1Jarvi Activity records (emails, LinkedIn messages, WhatsApp, calls, meetings linked to Contacts or Candidates) have no equivalent in BambooHR's employee-centric data model. BambooHR does not store outreach activity history as a first-class object. We export the full activity timeline as a timestamped CSV per Contact for the customer's records, but these do not migrate into BambooHR as native objects. This is a known limitation of the ATS-to-HRIS migration pattern.
Jarvi
Custom Fields (Contacts and Candidates)
BambooHR
Custom Employee Fields
1:1Jarvi exposes custom fields via a UUID-based Custom Fields API. BambooHR requires a pre-migration schema fetch via GET /v1/meta/fields to retrieve the numeric field IDs assigned per account. Custom field values map to BambooHR custom employee fields by matching field type (text to text, number to number, date to date, dropdown to dropdown). We do not hardcode BambooHR field IDs because they vary per account. Any Jarvi custom field type without a BambooHR equivalent is flagged and exported as a CSV column in the handoff document.
Jarvi
Attachments (Resumes, Cover Letters)
BambooHR
Employee Files
1:1Jarvi resume and cover letter attachments linked to Candidate profiles export as file references and binary blobs. These do not migrate as native BambooHR employee file attachments because BambooHR's file storage model is scoped to employee records (new hires, onboarding documents) rather than applicant resumes. We export attachments as a structured folder set (per candidate) and deliver them alongside the candidate CSV so the customer's admin can manually attach them in BambooHR Hiring if applicable.
Jarvi
Conversations (LinkedIn, WhatsApp, Telegram, Email)
BambooHR
Not migratable
1:1Jarvi's unified multichannel inbox (LinkedIn InMail, email, WhatsApp, Telegram threads per Contact or Candidate) has no equivalent in BambooHR. This is a CRM-layer feature that does not exist in an HRIS data model. We export conversation thread metadata (participant, channel, timestamp, snippet) as a CSV reference for audit purposes, but the full threaded conversation history does not migrate into BambooHR.
Jarvi
AI Summaries (Jarvi agent output)
BambooHR
Custom text field or CSV export
1:1Jarvi AI-generated candidate summaries and evaluations are stored as linked data points rather than standalone objects. When exporting candidates, these summaries land as a custom text column in the candidate CSV. If BambooHR has a custom long-text field available on the Applicant object in the Hiring module, we map the summary there; otherwise it is preserved in the exported CSV. This mirrors how we handle AI summaries in all Jarvi outbound migrations.
| Jarvi | BambooHR | Compatibility | |
|---|---|---|---|
| Contact | Employee1:1 | Fully supported | |
| Company | Employee (workLocation + custom org fields)lossy | Fully supported | |
| Candidate | Applicant (BambooHR Hiring module)1:1 | Fully supported | |
| Job | Job Opening (BambooHR Hiring module)1:1 | Fully supported | |
| Pipeline Stage | Hiring Pipeline Stage (BambooHR Hiring module)lossy | Fully supported | |
| Activity | Not migratable1:1 | Fully supported | |
| Custom Fields (Contacts and Candidates) | Custom Employee Fields1:1 | Mapping required | |
| Attachments (Resumes, Cover Letters) | Employee Files1:1 | Fully supported | |
| Conversations (LinkedIn, WhatsApp, Telegram, Email) | Not migratable1:1 | Fully supported | |
| AI Summaries (Jarvi agent output) | Custom text field or CSV export1:1 | 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
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and ATS-versus-HRIS scope gate
We audit the Jarvi portal for Contacts, Companies, Candidates, Jobs, pipeline stage definitions, custom field schemas, attachment volumes, and activity history. We identify which Contacts are current/former staff (migratable to BambooHR Employees) versus external client contacts (exported as CSV reference only). We confirm whether the customer licenses the BambooHR Hiring module, because that determines whether Job and Candidate exports map to a BambooHR-native module or remain as CSV handoff documents. The discovery output is a written migration scope that explicitly gates unmigratable objects before extraction begins.
BambooHR schema fetch and custom field mapping design
We call GET /v1/meta/fields on the destination BambooHR tenant to retrieve the full field schema including numeric IDs for all custom fields. We cross-reference the Jarvi custom field schema against the BambooHR field schema to identify direct mappings (text-to-text, number-to-number), type conversions (date formats, dropdown values), and orphaned fields with no BambooHR equivalent. We design the custom field mapping table per account before any data extraction begins.
Contact segmentation and Employee pre-creation
We run Contact segmentation: current and former staff members identified by employment status properties or domain-matching logic are flagged for Employee migration. External client contacts are flagged for CSV export. For staff Contacts migrating to Employees, we verify that the BambooHR tenant has capacity under its employee count license. Any Contacts that reference Companies without a migratable equivalent are noted for custom org-field mapping.
Sandbox migration and reconciliation
We run a full migration into a BambooHR sandbox (if available) or a parallel production trial import with a subset of records. We reconcile record counts (Contacts in, Employees created, Companies mapped, custom fields populated), spot-check field values against the Jarvi source, and verify that BambooHR field validation rules are satisfied. Mapping corrections and custom field ID updates occur here before the production migration window opens.
Production migration in dependency order
We run production migration in dependency order: BambooHR custom field schema (validated), then Employees (from staff Contacts), then Employee custom fields populated, then Company org context attached. Candidate and Job exports run in parallel as CSV documents. Activity history exports as timestamped CSV per Contact. Attachment binaries export as a structured folder set per candidate. Each phase emits a row-count reconciliation report. BambooHR rate-limit pacing is applied throughout using exponential backoff on 503 responses.
Cutover, delta pass, and migration handoff
We freeze Jarvi writes during cutover and run a final delta migration for any Contact or Employee records modified during the migration window. We enable BambooHR as the system of record for HR data. We deliver the Candidate CSV, Job export, Pipeline Stage configuration inventory, Activity history CSV, and Attachment folder set to the customer's BambooHR admin with instructions for the Hiring module import. We do not rebuild Jarvi hiring workflows, sequences, or pipeline automations in BambooHR Hiring; those are documented as a separate rebuild task in the handoff.
Platform deep dives
Jarvi
Source
Strengths
Weaknesses
BambooHR
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 BambooHR.
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
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