HRMS migration
Field-level mapping, validation, and rollback between Asanify and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Asanify
Source
BambooHR
Destination
Compatibility
8 of 12
objects map 1:1 between Asanify and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Asanify to BambooHR is primarily a platform consolidation for teams that no longer require India-specific statutory payroll or global EOR capabilities. Asanify's data model covers the full India compliance stack—TDS auto-calculation, PF, ESIC, and Professional Tax—plus EOR assignments, contractor invoicing, and VIP-tier OKRs and KPI trackers. BambooHR is a cloud HRIS designed for small and mid-market teams with a per-employee pricing model, an optional separate payroll add-on, and no native EOR function. We map every Asanify object to a BambooHR equivalent or custom field, flag the India-specific fields that have no BambooHR native equivalent, and preserve EOR employer-of-record relationships as explicit labeled fields so the customer's compliance team can audit them post-migration. We do not migrate Asanify Workflows, OKR cadences, or shift scheduling rules as code; we deliver a written inventory of these for the customer's admin to rebuild or retire.
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 Asanify 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.
Asanify
Employee
BambooHR
Employee
1:1Asanify Employee records map directly to BambooHR Employee records. We extract name fields, contact information, employment dates, department, job title, employment status, and reporting manager. Custom employee properties on Asanify (including any India-specific fields not covered by statutory export) map to BambooHR custom fields created during schema design. EOR-flagged employees receive an additional custom field label_eor__c and country_of_employment__c to preserve the employer-of-record relationship for compliance review.
Asanify
Org Structure
BambooHR
Department + Employee reporting hierarchy
1:1Asanify's org chart and department hierarchy map to BambooHR Departments and the reporting manager reference on each Employee record. We export the full org tree as a parent-child department list and resolve each employee's department and manager assignment during the employee import phase. BambooHR's native organizational chart feature renders this data post-migration without additional configuration.
Asanify
Salary Revision History
BambooHR
Custom pay fields + compensation change log
1:1Asanify salary revision history (effective date, previous salary, new salary, revision reason) maps to a combination of BambooHR's standard pay fields and a custom compensation_history__c text field storing the revision log as JSON. Current salary components (base, allowances, deductions) map to BambooHR pay fields or custom pay component fields depending on plan tier. We do not replicate Asanify's payroll run engine; historical pay data serves as a record, not a live payroll feed.
Asanify
Leave Balance
BambooHR
Time Off (BambooHR)
1:1Asanify leave types and current accrual balances map to BambooHR Time Off types and balances. We extract accrual rates, carry-forward amounts, and leave policy rules from Asanify and configure equivalent BambooHR Time Off policies before balance import. Asanify's India-specific leave types (for example, sick leave under state-specific rules) map to the closest BambooHR equivalent or a custom leave type. BambooHR's separate payroll module does not share leave balance data, so no payroll-side reconciliation is required at this layer.
Asanify
Attendance Record
BambooHR
Time Tracking (custom) or Time Off
1:manyAsanify attendance logs (punch records with timestamps and geo-coordinates) map to BambooHR Time Tracking if the customer purchases the Time Tracking module, or to a custom text field storing punch-in and punch-out timestamps. BambooHR has no native geo-tracking field. We export geo-coordinates from Asanify as a custom location__c text field and flag any records where coordinates are absent due to mobile app non-use. Biometric device flags (VIP-only in Asanify) do not map to any BambooHR native field and are flagged for manual review.
Asanify
Payroll Run and Payslip
BambooHR
Custom pay history fields
1:1Asanify payroll runs and payslip records (earnings breakdown, TDS deduction, PF deduction, ESIC deduction, Professional Tax, net pay) cannot migrate into BambooHR's standard payroll module because BambooHR Payroll is a separate product. We export payslip records as a structured dataset and store the last 12 months of pay data as a custom payslip_history__c JSON field per employee. India statutory deductions (TDS, PF, ESIC, PT) are preserved as labeled line items within this field. The customer must configure BambooHR Payroll separately or continue payroll in another India-compliant tool.
Asanify
Performance Review
BambooHR
Custom performance fields or Performance Management module
1:1Asanify performance review cycles, ratings, and free-text feedback (VIP-tier) map to BambooHR's Performance Management module if the customer is on Pro or Elite, or to a set of custom fields (review_cycle__c, rating__c, feedback__c) if on Core. Custom question banks require manual field mapping during schema design. We export the review cycle name, reviewer, reviewee, rating score, and full text feedback and map them to the corresponding BambooHR structure. If the destination BambooHR plan does not include Performance Management, we flag this gap during scoping.
Asanify
OKR Goal
BambooHR
Custom goal fields (flattened)
1:manyAsanify OKR records (company-level objectives, individual key results, progress percentages, status) are VIP-tier and do not have a native BambooHR equivalent. We flatten each OKR into a custom key_result__c text field storing the objective, key results list, current progress percentage, and status label. BambooHR's Performance Management module on Pro and Elite includes a goal-tracking feature; if the customer activates this, we map the flattened records to the native goal structure. Otherwise they remain in custom fields as a historical record.
Asanify
Contractor Record
BambooHR
Employee (contractor designation)
1:manyAsanify contractor records are stored in a separate module with contract terms, invoicing details, multi-currency payout rates, and contractor status. BambooHR has no separate contractor module. We split each Asanify contractor into a BambooHR Employee record with a custom field contractor__c set to true and contract_terms__c storing the contract duration and rate. Multi-currency invoicing data does not map to any BambooHR field and is preserved in a custom text field for the customer's accounting team to reconcile.
Asanify
EOR Employee Assignment
BambooHR
Employee (custom EOR fields)
1:manyAsanify EOR records represent employees legally employed by Asanify's employer-of-record entity in a specific country, not by the customer's company directly. BambooHR has no native EOR function. We migrate each EOR employee as a BambooHR Employee record with three custom fields: label_eor__c (true), eor_employer_entity__c (the Asanify legal entity name), and country_of_employment__c (ISO country code). These fields preserve the employer-of-record relationship so the customer's legal and HR teams can audit the data post-migration and determine whether to maintain EOR status through a new provider or establish a direct legal entity.
Asanify
Expense Reimbursement
BambooHR
Expense (BambooHR)
1:1Asanify expense reimbursement records (amount, category, approval status, submission date) map to BambooHR's Expense module on Pro and Elite plans. Pending reimbursements require explicit customer action before the final export because deprovisioning Asanify may orphan unresolved requests. We export pending reimbursements as a separate reconciliation report during the pre-migration review meeting and recommend resolving all open requests (approve or reject) before the cutover date. Approved reimbursements migrate to BambooHR Expense records; rejected requests are logged in the reconciliation report without import.
Asanify
Employment Document
BambooHR
Employee Files (BambooHR)
1:1Asanify employment documents (offer letters, contracts, ID copies, certificates) stored on VIP and Enterprise tiers migrate to BambooHR Employee Files if the destination plan includes document storage, or to a separate document archive provided by FlitStack AI for records that cannot attach to BambooHR's employee file system. Document file types are mapped to BambooHR file categories during export. We export what the UI exposes; password-protected or encrypted documents that cannot be read by the export process are flagged and handed off as a separate file inventory.
| Asanify | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Org Structure | Department + Employee reporting hierarchy1:1 | Fully supported | |
| Salary Revision History | Custom pay fields + compensation change log1:1 | Fully supported | |
| Leave Balance | Time Off (BambooHR)1:1 | Fully supported | |
| Attendance Record | Time Tracking (custom) or Time Off1:many | Fully supported | |
| Payroll Run and Payslip | Custom pay history fields1:1 | Fully supported | |
| Performance Review | Custom performance fields or Performance Management module1:1 | Fully supported | |
| OKR Goal | Custom goal fields (flattened)1:many | Fully supported | |
| Contractor Record | Employee (contractor designation)1:many | Fully supported | |
| EOR Employee Assignment | Employee (custom EOR fields)1:many | Fully supported | |
| Expense Reimbursement | Expense (BambooHR)1:1 | Fully supported | |
| Employment Document | Employee Files (BambooHR)1:1 | 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.
Asanify gotchas
Minimum headcount requirements vary by plan tier
Performance module and OKRs are VIP-only and not available on Essential
Geo-tracking attendance data may be sparse or inconsistently captured
Pending expense reimbursements require explicit cutover handling
EOR records represent a separate employer-of-record entity
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 plan-tier audit
We audit the source Asanify account across plan tier (Essential, VIP, or Enterprise), active feature usage (performance, OKRs, shift scheduling, expense reimbursements, contractor module, EOR assignments), total employee and contractor headcount, payroll run history length, and any pending reimbursements or in-progress payroll cycles. We also assess the data export method given Asanify's undocumented API and confirm whether the customer's Asanify admin can authorize a bulk CSV export. The discovery output is a written migration scope that explicitly lists which objects are in scope, which are out of scope, and which are flagged for plan-tier confirmation (for example, performance reviews require VIP or Enterprise).
BambooHR schema design and custom field buildout
We design the destination BambooHR schema before any data moves. This includes configuring departments matching the Asanify org tree, setting up time-off policy types that mirror Asanify leave policies (carry-forward rules, accrual rates, leave type names), creating custom fields for India statutory pay data (TDS, PF, ESIC, PT), EOR relationship fields (label_eor__c, eor_employer_entity__c, country_of_employment__c), location data for geo-tracked attendance, contractor designation fields, and flattened OKR records. Custom fields are built using BambooHR's custom field builder or via the BambooHR API depending on field type. We deploy the schema to the customer's BambooHR trial or sandbox environment first for validation.
Data export and transformation
We coordinate with the customer's Asanify admin to extract data in CSV format organized by object: Employees, Org Structure, Leave Balances, Attendance Records, Payroll Run History, Performance Reviews, OKR Goals, Contractor Records, EOR Assignments, and Expense Reimbursements. Because Asanify lacks a documented API, we use structured CSV extraction with field mapping transformations applied in our ingestion pipeline. Statutory payroll fields (TDS, PF, ESIC, PT) are extracted as separate line items per payslip period and bundled into the custom payslip_history__c JSON field. Geo-coordinates are extracted from attendance records as latitude-longitude strings for the custom location__c field. We flag any records that cannot be exported due to permission restrictions or data integrity issues and present them in a gap report before the sandbox migration.
Sandbox migration and reconciliation
We run a full migration into the customer's BambooHR sandbox or trial environment using the exported and transformed dataset. The customer's HR lead reconciles record counts (employees in, departments in, leave balances in, payroll history in), spot-checks 20-30 random employee records against the Asanify source data, and validates that EOR labels, contractor flags, and custom pay fields populated correctly. Any field mapping corrections, missing data gaps, or custom field type adjustments are made in this phase before production migration begins. The sandbox sign-off meeting is the gate for production migration.
Production migration in dependency order
We run production migration in record-dependency order: Departments (org tree), Employees (with reporting manager resolved, EOR fields populated, contractor flags set), Leave Balances (mapped to BambooHR Time Off policies), Attendance records (with location data in custom fields), Payroll History (as custom pay history fields), Performance Reviews (native module or custom fields depending on plan), OKR records (flattened to custom fields or native goal structure if Performance Management is active), Contractor records (split from Employee, flagged as contractor), Expense Reimbursements (approved only; pending items excluded per customer instruction), and Employment Documents (to BambooHR Employee Files or separate archive). Each phase emits a row-count reconciliation report.
Cutover, final validation, and automation inventory handoff
We freeze Asanify write access during cutover, run a final delta migration of any records modified between the last export and the cutover date, then confirm BambooHR as the system of record. We deliver a written inventory of Asanify Workflows, OKR cadences, and shift scheduling rules (VIP-tier) that do not migrate as code, with a brief description of each and the nearest BambooHR equivalent (BambooHR automated workflows, Performance Management goals, or Time Tracking schedules). The customer's HR admin rebuilds these post-migration. We support a three-day hypercare window to resolve reconciliation issues raised during the first pay cycle in BambooHR.
Platform deep dives
Asanify
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between Asanify and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Asanify and BambooHR.
Object compatibility
All 7 core objects map 1:1 between Asanify 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
Asanify: Not publicly documented.
Data volume sensitivity
Asanify 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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