HRMS migration
Field-level mapping, validation, and rollback between HROne and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
HROne
Source
BambooHR
Destination
Compatibility
3 of 10
objects map 1:1 between HROne and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from HROne to BambooHR is a cross-regional HRIS migration with a significant scope reduction: HROne bundles payroll, attendance, biometric integration, and India statutory compliance into a single platform, while BambooHR is a US-centric HRIS where payroll is a separate paid add-on and India-specific statutory forms are not available. We close that gap by migrating employee records, compensation structures, and historical leave balances as the primary data load, while explicitly documenting the payroll module as a gap and recommending an India payroll provider for continuation. HROne's REST API has no documented bulk export endpoint, so we construct filter-based API calls or work from database backup exports provided during discovery. Attendance data requires timezone normalization because HROne organizations with multi-state or multi-country workforces export mixed-timezone clock-in/out logs. BambooHR's field-request API model means we must fetch the field schema via GET /v1/meta/fields before mapping, and custom fields are referenced by numeric ID per account, not hardcoded names. We do not migrate HROne Workflows, Automations, or Recruit module configurations; these require a separate admin rebuild in BambooHR.
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 HROne 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.
HROne
Employee
BambooHR
Employee
1:1HROne Employee records map to BambooHR Employee via standard fields (firstName, lastName, workEmail, jobTitle, department, location, employmentHistoryStatus, hireDate, terminationDate, supervisor). The HROne per-user billing model can inflate headcount—some organizations have more user accounts than active employees—so we audit the HROne user list separately from the employee list and exclude inactive or shared accounts. BambooHR uses HTTP Basic Auth with an API key that inherits the permissions of the generating user account; we require a dedicated service account with scoped permissions rather than an admin's personal key during migration.
HROne
Compensation Records
BambooHR
Pay Rate / Compensation fields
1:manyHROne stores salary structures, pay components, and compensation histories as separate associated records joined on employee ID. BambooHR stores payRate as a single flat field on the Employee record. We collapse HROne's multi-component compensation (base salary, allowances, deductions, variable pay) into a single effective payRate value for the most recent active compensation record, and preserve the full compensation history in a structured migration artifact for the customer's admin to reconcile against BambooHR's separate Payroll add-on module if applicable.
HROne
Time & Attendance
BambooHR
Time Tracking (BambooHR add-on)
lossyHROne's Clock-in/out logs, shift assignments, and overtime records map to BambooHR's Time Tracking feature if the customer has enabled it. HROne stores attendance timestamps in local timezone of the employee's office or biometric device, and multi-state or multi-country organizations export mixed-timezone data in a single extract. We detect mixed-timezone exports during profiling, normalize all timestamps to UTC before transformation, and map them to the BambooHR time-tracking schema. BambooHR does not support biometric device integration natively; organizations relying on biometric hardware must evaluate BambooHR-compatible time-clock hardware or a third-party attendance integration post-migration.
HROne
Leave Balances
BambooHR
Time Off
lossyHROne leave entitlements, accrual policies, and current balances per employee map to BambooHR Time Off types. HROne plan-specific leave type configurations (earned leave, sick leave, casual leave, comp-off) require explicit mapping to BambooHR Time Off categories, and carry-forward rules require manual reconfiguration in BambooHR's accrual policy settings because BambooHR does not import accrual logic from HROne. We deliver a leave-type mapping table and flag each carry-forward discrepancy for admin review before the migration date.
HROne
Documents
BambooHR
Files / Document Storage
1:1HROne stores employee documents (offer letters, contracts, ID proofs) as DocumentTemplate records or file attachments. We extract file binaries and associated metadata (documentType, language, upload date) and map them to BambooHR's employee Files section. BambooHR does not have a native document type taxonomy, so we create a folder structure per employee using the document type as the folder name and store the original filename and HROne record ID in the file description for audit traceability.
HROne
Organization Structure
BambooHR
Departments and Divisions
1:1HROne departments, cost centers, and reporting hierarchy export and map to BambooHR's department and division structure. Manager relationships (supervisor fields) map directly to BambooHR's supervisor field on the Employee record. HROne's multi-entity and multi-country organization structures (available on Enterprise tier) require flattening into BambooHR's single-org model unless the customer has multiple BambooHR accounts per entity, which adds to configuration scope.
HROne
Custom Fields
BambooHR
Custom Employee Fields
lossyHROne organizations frequently add custom fields to the Employee object and other modules for region-specific or policy-specific data. These custom fields are not consistently exposed via HROne's public API and may only appear in UI exports and reports. We add a manual custom-field discovery step to every HROne migration: we request a sample employee export from HROne's UI alongside the API export, compare field counts, and flag any discrepancy for field-level audit. Custom fields then map to BambooHR custom fields using the numeric field IDs returned by GET /v1/meta/fields, which are account-specific and cannot be hardcoded across migrations.
HROne
Recruitment / Job Openings
BambooHR
Applicant Tracking System (BambooHR ATS add-on)
lossyHROne's recruitment module (available on Professional and Enterprise tiers) with job postings, candidate pipelines, and applicant data maps to BambooHR's ATS feature. Interview scores and custom recruiter fields in HROne require explicit mapping to BambooHR's custom applicant fields. BambooHR ATS supports 5 job openings on Core and 25 on Pro; organizations with more than 25 active openings at migration time must upgrade plans or archive inactive postings before migration.
HROne
Performance Appraisals
BambooHR
Performance Management (BambooHR Pro and above)
lossyHROne's performance module with goals, appraisal cycles, and review ratings per employee maps to BambooHR's Performance Management feature (Pro plan and above). If the destination BambooHR account is on the Core plan, performance appraisal data cannot be loaded and we flag it as a gap requiring either a plan upgrade or an alternative performance tracking solution post-migration. Appraisal dates, ratings, and reviewer assignments migrate as structured records in the migration artifact regardless of destination plan.
HROne
HROne Workflows / Automations
BambooHR
Workflows & Approvals (BambooHR Pro and above)
lossyHROne Workflows and approval chains are not migrated as automation code because the execution models differ. We deliver a written inventory of every active HROne Workflow with its trigger conditions, action sequence, and assigned approvers, and map each to a recommended BambooHR Workflow equivalent or approval chain configuration. The customer's admin rebuilds these in BambooHR's Workflow builder post-migration. BambooHR's Workflow coverage differs from HROne's; not every HROne automation pattern has a direct BambooHR equivalent.
| HROne | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Compensation Records | Pay Rate / Compensation fields1:many | Mapping required | |
| Time & Attendance | Time Tracking (BambooHR add-on)lossy | Mapping required | |
| Leave Balances | Time Offlossy | Mapping required | |
| Documents | Files / Document Storage1:1 | Mapping required | |
| Organization Structure | Departments and Divisions1:1 | Mapping required | |
| Custom Fields | Custom Employee Fieldslossy | Mapping required | |
| Recruitment / Job Openings | Applicant Tracking System (BambooHR ATS add-on)lossy | Mapping required | |
| Performance Appraisals | Performance Management (BambooHR Pro and above)lossy | Mapping required | |
| HROne Workflows / Automations | Workflows & Approvals (BambooHR Pro and above)lossy | 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.
HROne gotchas
HROne's REST API has no documented bulk export endpoint
Timezone normalization required for attendance data
Per-user billing model can inflate headcount during migration planning
Custom fields are instance-specific and not always in the public API
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 data audit
We audit the source HROne account for active modules (payroll tier, attendance module, leave types, recruitment, performance), API access scope, and custom field inventory. We ask the customer to provide a sample employee export from the HROne UI alongside any API extract, compare field counts, and identify any discrepancy as a custom field audit trigger. We also audit the HROne user list separately from the employee list to flag accounts that should not replicate to BambooHR and avoid inflating billable-seat counts. The discovery output is a written migration scope, a data quality report, and a payroll-gap disclosure statement.
Schema mapping and BambooHR field schema fetch
We fetch BambooHR's field schema via GET /v1/meta/fields using a dedicated service account API key. Custom fields are identified by their numeric IDs, which are unique per BambooHR account, so we cannot hardcode field names across migrations. We map HROne employee fields to BambooHR standard fields, and HROne custom fields to BambooHR custom fields using the fetched IDs. HROne leave types are mapped to BambooHR Time Off categories with accrual policy notes flagged for admin review. We design the BambooHR employee file folder structure for document migration in this step.
Timezone normalization and compensation consolidation
We profile the HROne attendance export for mixed-timezone clock-in/out records and normalize all timestamps to UTC. We collapse HROne's multi-component compensation histories (base salary, allowances, deductions, variable pay) into a single effective payRate value for the most recent active record, preserving the full history in a structured artifact. Any carry-forward leave balances are extracted with their accrual dates and leave type designations for mapping to BambooHR Time Off categories.
Sandbox migration and reconciliation
We run a full migration into the customer's BambooHR sandbox environment using production-like data volume. The customer's HR admin reconciles record counts (employees loaded vs HROne UI count, leave balances vs source export, compensation values vs last payroll run), spot-checks 25-50 random records against HROne, and signs off the mapping before production migration begins. BambooHR's field-request API requires explicit field specification in every API call; we validate that all mapped fields are present in the BambooHR field schema for this specific account.
Production migration in dependency order
We run production migration in record-dependency order: Organization Structure (departments, divisions) first, then Employees with resolved manager relationships, then Documents (linked per employee), then Time Off balances, then Compensation history. Attendance records with normalized timestamps load last because they represent the highest row volume. Each phase emits a row-count reconciliation report before the next phase begins. BambooHR's practical API rate limit is approximately 100 requests per minute per API key; we implement exponential backoff on 503 responses and chunk large record sets to avoid throttling failures.
Cutover, validation, and workflow handoff
We freeze HROne write access during cutover, run a final delta migration of records modified during the migration window, and enable BambooHR as the system of record. We deliver the HROne Workflow inventory document, the leave-type mapping table, and the payroll gap disclosure to the customer's HR admin. We support a one-week hypercare window for reconciliation issues. We do not rebuild HROne Workflows as BambooHR Workflows inside the migration scope; that is documented for the admin to handle post-migration.
Platform deep dives
HROne
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 HROne 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
HROne: Powered by Azure API Management; specific quotas not publicly published — typical enterprise SaaS limits assumed.
Data volume sensitivity
HROne exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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