HRMS migration
Field-level mapping, validation, and rollback between ELMO Software and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
ELMO Software
Source
BambooHR
Destination
Compatibility
5 of 10
objects map 1:1 between ELMO Software and BambooHR.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from ELMO Software to BambooHR is primarily an HR-core data migration, not a payroll or learning migration. ELMO's modular architecture (HR Core, Payroll, Recruitment, Performance, Learning sold per-user-per-module) means organisations often migrate only the modules they actively use. BambooHR's Core plan ($10/user/month) covers employee records, time-off management, and onboarding workflows; its optional payroll add-on is US-focused and does not natively support Australian STP or New Zealand KiwiSaver compliance, so organisations with active ELMO payroll modules must plan a separate payroll vendor transition. We extract employee records, employment metadata, organisational hierarchy, and leave balances from ELMO's User API v1 (subject to account-manager API sign-off) or CSV export, then load them into BambooHR's employee records and custom fields in dependency order. We do not migrate ELMO workflows, performance review cycles, learning courses, or recruitment pipelines as code; 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 ELMO Software 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.
ELMO Software
Employee
BambooHR
Employee
1:1ELMO Employee records (exposed via GET /users and GET /users/{id}) map to BambooHR Employee records. We extract first name, last name, preferred name, date of birth, gender, address, phone, personal email, and emergency contact fields. The ELMO employee ID is stored in a BambooHR custom field elmo_employee_id__c as a dedupe and audit reference. Active and inactive employment status maps directly.
ELMO Software
Position
BambooHR
Employee Job Title
lossyELMO Positions (GET /positions) define job title and role within the organisational hierarchy. We map each employee's assigned position to the BambooHR Job Title field. Where ELMO positions include seniority or classification prefixes, we strip the prefix or preserve it as a custom field depending on the customer's reporting requirements.
ELMO Software
Department
BambooHR
Department
1:1ELMO Departments (GET /departments) map directly to BambooHR Departments. We preserve the full department tree so that parent-child relationships render correctly in BambooHR's org chart. Employees reassign to matching department records during the employee import phase.
ELMO Software
Location
BambooHR
Employment History Location field
lossyELMO Locations (GET /locations) include physical address and timezone. BambooHR does not have a native Locations object; we store location as a custom field on the employee's Job tab (address fields) and flag any ELMO location used for rostering or compliance reporting as a separate custom field set requiring admin review.
ELMO Software
Legal Entity
BambooHR
Custom Field (payroll entity)
lossyELMO Legal Entity records (GET /legal-entities) define ABN/ACN-level employer entities required for AU/NZ payroll. BambooHR has no native multi-entity concept; we create a custom List single-answer field called Payroll Entity on the Job tab and map each ELMO Legal Entity value to a matching list option. Organisations with multiple ELMO Legal Entities that need separate payroll runs should plan a parallel payroll vendor selection.
ELMO Software
Employment Details
BambooHR
Custom Fields (Job tab)
lossyELMO Employment Details (GET /employment-details) include start date, employment type (full-time/part-time/casual), pay frequency, and superannuation details. BambooHR stores employment type and start date natively; pay frequency, superannuation fund, and TFN migrate as custom fields on the Job tab. Employment history (multiple past employments) migrates as rows in a BambooHR custom table if the customer requires historical tracking.
ELMO Software
Leave Balance
BambooHR
Time Off balances
1:1ELMO leave balances are decorated with entitlement rules and accrual logic from BETA-rated endpoints. We extract the current balance snapshot per employee per leave type and map to BambooHR Time Off types (Annual, Sick, Personal, and custom). Because the ELMO leave request endpoint is BETA, we cross-validate extracted balances against payroll reports exported directly from ELMO's UI before importing into BambooHR. Leave type entitlement rules (accrual rates, carryover limits) are documented as a written spec for the customer's BambooHR admin to configure post-migration.
ELMO Software
Leave Type
BambooHR
Time Off Types
lossyELMO configurable leave types (annual, sick, parental, carer's, purchased leave, etc.) map to BambooHR Time Off types, which customers configure under Settings > Time Off > Time Off Types. We export the full leave type schema including whether a type accrues, lapses, or is unlimited, then deliver a leave-type configuration worksheet. Any ELMO leave types without a BambooHR equivalent are flagged for the admin to create as custom types.
ELMO Software
Group
BambooHR
Tag
1:1ELMO Groups (GET /groups) represent organisational units for access control and reporting. BambooHR does not enforce role-based access groups; we migrate group membership as Tags on the relevant Employee records. The customer's admin reviews the tag list post-migration and determines whether tags should be used for reporting segmentation or archived.
ELMO Software
Custom Configurable Field
BambooHR
Custom Field
1:1ELMO Configurable Fields (GET /configurable-fields-meta) store per-employee custom metadata unique to each organisation. We extract field definitions and per-employee values during scoping, then create matching custom fields in BambooHR (custom text, number, date, or list fields) before employee import. Multi-select configurable fields in ELMO map to BambooHR multi-select fields; single-select map to list fields. Custom field values migrate alongside employee records in the same import batch.
| ELMO Software | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Position | Employee Job Titlelossy | Fully supported | |
| Department | Department1:1 | Fully supported | |
| Location | Employment History Location fieldlossy | Fully supported | |
| Legal Entity | Custom Field (payroll entity)lossy | Fully supported | |
| Employment Details | Custom Fields (Job tab)lossy | Mapping required | |
| Leave Balance | Time Off balances1:1 | Fully supported | |
| Leave Type | Time Off Typeslossy | Fully supported | |
| Group | Tag1:1 | Fully supported | |
| Custom Configurable Field | Custom Field1:1 | 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.
ELMO Software gotchas
API access requires Account Manager sign-off
Leave request endpoint is marked BETA
Module subscriptions must be mapped individually
Legacy Elmo32 import limitations are documented
Rate limits are not publicly documented
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 module scoping
We audit the ELMO tenant to identify which modules are active (HR Core, Payroll, Recruitment, Performance, Learning) and which user cohorts have access to each module. We request ELMO API credentials on the customer's behalf during the discovery call. If API access is not available, we scope CSV export routes for each active module. We also identify the payroll destination: BambooHR's US payroll add-on or a separate AU/NZ-native payroll vendor (Deel, Employment Hero). The discovery output is a written migration scope that lists each ELMO module, its active object types, and the BambooHR destination for each.
Schema design and custom field creation
We design the BambooHR schema before any data loads. This includes creating all custom fields required to receive ELMO employment metadata (pay frequency, superannuation fund, TFN), payroll entity mapping (Legal Entity as a list field), location data (custom address fields), and any ELMO configurable fields that have no BambooHR native equivalent. Leave types are documented in a configuration worksheet mapping each ELMO leave type to a BambooHR Time Off type. We deploy custom fields in BambooHR Settings before the first import run.
Data extraction and transformation
We extract employee records, positions, departments, employment details, leave balances, and custom field values from ELMO via API (where available) or CSV. Leave balance extraction requires cross-validation against ELMO payroll reports because the leave endpoints are BETA. For organisations with multiple Legal Entities, we separate employee records by entity before mapping. The extracted data is transformed into BambooHR-compatible CSV format, with ELMO configurable field values mapped to the pre-created custom fields, and ELMO Legal Entity values mapped to the Payroll Entity list options.
Sandbox validation and reconciliation
We run a full migration into a BambooHR test environment (a second BambooHR account used as a staging environment) using production-like data volume. The customer's HR lead reconciles record counts and spot-checks 25-50 employee records against the ELMO source for accuracy in name fields, employment dates, leave balances, and custom field values. Any mapping corrections are applied before the production run. This step also validates that the custom field configuration in BambooHR handles the full range of ELMO data values without truncation or mismatched field types.
Production cutover and delta sync
We freeze ELMO write access during the cutover window and run a final delta extraction to capture any records modified since the sandbox migration. We import employee records in dependency order: departments first (so the department lookup is satisfied), then employees with all custom fields resolved. Leave balances import as a second batch after employee records are confirmed. Any ELMO onboarding tasks in progress are documented as a list of pending onboarding items for the HR admin to complete manually in BambooHR. We support a one-week post-go-live window for data correction requests.
Platform deep dives
ELMO Software
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between ELMO Software and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across ELMO Software and BambooHR.
Object compatibility
All 7 core objects map 1:1 between ELMO Software and BambooHR.
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
ELMO Software: Not publicly documented — differs between sandbox and production environments.
Data volume sensitivity
ELMO Software 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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