HRMS migration
Field-level mapping, validation, and rollback between Sage People and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Sage People
Source
BambooHR
Destination
Compatibility
9 of 10
objects map 1:1 between Sage People and BambooHR.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Sage People to BambooHR is a schema translation from a Salesforce-backed HRIS to a purpose-built cloud HRIS designed for small and mid-size teams. Sage People stores all data on the Salesforce platform using HCM objects (Employee, Job, Absence, Objective) with a highly configurable object model; BambooHR uses a flat employee record with nested tabs for employment history, compensation, and time-off. We resolve the structural difference by mapping Sage People Job records to BambooHR Employment and Job Title fields, and Absence records to BambooHR Time Off with accrual rates and carryover rules preserved. Sage People custom fields use advisory prefixes (UD_, UDF_, IM_) that are not consistently enforced, so we detect non-prefixed custom fields against a reference schema before mapping. Manager hierarchies that drive leave and expense approvals are preserved in BambooHR's reporting-to structure. Workflows, approval rules, and the Sage Partner-specific configurations that extend Sage People beyond standard Salesforce are not exported via API; we capture them as a written configuration inventory for the customer's admin to rebuild using BambooHR's workflow builder.
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 Sage People 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.
Sage People
Employee
BambooHR
Employee
1:1Sage People Employee records map to BambooHR Employee. Standard fields (name, date of birth, contact information, employee number, hire date, termination date, employment status) migrate directly. Custom fields use UD_, UDF_, or IM_ prefixes in Sage People; we detect non-prefixed custom fields by comparing against the reference schema and flag them for explicit mapping before import. The BambooHR Employee record is the parent; nested tabs (Employment, Compensation, Time Off, Benefits) are populated in sequence after the parent record is created.
Sage People
Department
BambooHR
Department
1:1Sage People Department records map to BambooHR Department. Parent-child hierarchy (cost center codes and parent department references) migrates as a top-down import so that parent references exist before child records. Department names and codes map to BambooHR name and id fields respectively. If the Sage People org uses multiple hierarchies (e.g., a reporting hierarchy and a cost-center hierarchy), we map the primary reporting hierarchy and document the secondary for manual configuration in BambooHR.
Sage People
Job (Position)
BambooHR
Employment (Job Title)
1:1Sage People separates Job templates from Position records. We migrate both: the Job title becomes the BambooHR Job Title field on the Employment tab, and the Position record carries effective dates, employment type, and work location. If a Sage People employee holds multiple concurrent positions, we create multiple Employment records in BambooHR with different job titles and effective dates.
Sage People
Absence and Leave Record
BambooHR
Time Off
1:1Sage People Absence records map to BambooHR Time Off entries. Accrual rates, carryover rules, balance caps, and leave type definitions migrate as individual Time Off records with the appropriate accrual policy reference. We flag custom absence types that have no direct BambooHR equivalent (e.g., cultural leave, unpaid sabbatical) for manual policy configuration in BambooHR's Time Off settings.
Sage People
Compensation History
BambooHR
Compensation
1:1Sage People stores salary, bonus, and compensation change records as effective-dated pay entries per Employee. We migrate these as a time-series of BambooHR Compensation records with effective dates, pay rate, pay type, and change reason. Custom compensation components (e.g., car allowance, equity grants stored as non-standard fields) require explicit mapping because BambooHR's Compensation object supports a limited set of standard fields; extended components are mapped to BambooHR custom fields on the Compensation tab.
Sage People
Objective and Performance Review
BambooHR
Goals
1:1Sage People Enhanced Objectives and performance review records migrate as BambooHR Goals. We map objective text, metric targets, due dates, and review status (draft, active, completed). Known Sage People state-machine issues with draft vs active review states are flagged during migration: any objective with an inconsistent state in Sage People is logged and excluded from migration until the source state is corrected. Goals with no end date or no defined owner are flagged for manual review post-migration.
Sage People
Candidate and Vacancy
BambooHR
Job Application
1:1Sage People Recruitment data (candidates, applications, vacancy postings) migrates to BambooHR Job Applications if the destination account has BambooHR's ATS module enabled. Candidates map to Job Application with applicant name, email, application date, and vacancy reference. Vacancy configurations (requirements, compensation bands) are documented as configuration notes for manual re-entry because they involve linked content that does not export cleanly. If the destination does not include BambooHR ATS, candidate and vacancy data is excluded from the migration scope.
Sage People
Document
BambooHR
Employee File
1:1Sage People Employee documents (contracts, certifications) are stored as Salesforce attachments with binary blobs and time-limited URLs that expire after approximately two minutes. We pre-fetch all document attachment URLs in a batch queue and download them immediately before inserting into BambooHR, bypassing the two-minute expiration window. Each document is re-associated with the corresponding BambooHR Employee via the employee ID map. Document metadata (filename, upload date, file type) migrates; document tags and categorization are preserved as notes on the file record.
Sage People
Workflow and Approval Rule
BambooHR
Approval Workflow
lossySage People does not expose workflow definitions or approval routing rules through its API. Leave approval chains, onboarding workflows, and manager escalation paths cannot be transferred automatically. During discovery we document every active Sage People workflow as a configuration inventory: trigger conditions, routing paths, escalation rules, and approval thresholds. BambooHR's approval workflows for time-off and expenses serve as the rebuild target; complex multi-step approval chains require configuration in BambooHR's workflow builder by the customer's admin post-migration.
Sage People
Custom Fields
BambooHR
Custom Fields
1:1Sage People custom fields use advisory prefixes (UD_, UDF_, IM_) that are not consistently enforced across orgs. We detect non-prefixed custom fields by comparing the live schema against a reference schema of standard Sage People fields, flag each for explicit type mapping (text, number, date, picklist, checkbox), and map picklist values as explicit value lists in BambooHR custom fields. Custom fields without a data type in the Sage People schema are flagged for admin review before mapping.
| Sage People | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Department | Department1:1 | Fully supported | |
| Job (Position) | Employment (Job Title)1:1 | Fully supported | |
| Absence and Leave Record | Time Off1:1 | Fully supported | |
| Compensation History | Compensation1:1 | Mapping required | |
| Objective and Performance Review | Goals1:1 | Fully supported | |
| Candidate and Vacancy | Job Application1:1 | Fully supported | |
| Document | Employee File1:1 | Fully supported | |
| Workflow and Approval Rule | Approval Workflowlossy | Fully supported | |
| Custom Fields | Custom Fields1:1 | Mapping required |
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.
Sage People gotchas
Sandbox environments block all data exports
Attachment links expire after approximately two minutes
Workflows and approval rules are not API-exportable
Rate limit of 180 requests per minute with 10 calls per second burst
Custom fields use inconsistent naming prefixes across orgs
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 scoping
We audit the source Sage People Salesforce org: headcount, active modules (Core HR, Timesheets, Performance, Recruitment), custom fields with their prefixes, active workflows and approval rules, absence policies with accrual rates, compensation history depth, and document attachment volume. We pair this with a BambooHR plan assessment (Essentials, Growth, Power) based on the required modules. The discovery output is a written migration scope document listing every object to be migrated, every custom field requiring mapping, every active workflow requiring rebuild, and the confirmed BambooHR API rate limit for the target plan.
Custom field schema reconciliation
We extract the full Sage People field schema from the Salesforce metadata API and compare it against the standard Sage People HCM field reference. Any field without a match in the standard reference is flagged as custom. We resolve non-prefixed custom fields by checking their API name against a list of known standard fields and flag any ambiguous fields for explicit customer confirmation. Each custom field receives a target BambooHR field type mapping (text, number, date, picklist, checkbox, employee list) before data extraction begins.
Sandbox validation and BambooHR schema pre-configuration
We create a BambooHR sandboxed test account and configure the destination schema: Departments with parent-child hierarchy, custom fields with correct types and picklist values, Time Off policies matching the source absence types, and the reporting-to structure. We run a trial migration of 50-100 employee records, validate field-level accuracy against the Sage People source records, and reconcile any mapping gaps before proceeding. Workflow documentation is compiled during this phase from the Sage People configuration export.
Department and manager hierarchy pre-load
We migrate Departments first, top-down by parent ID, so that parent references exist before child records. The reporting-to manager field on each BambooHR Employee requires a valid manager Employee record. We resolve manager references by email match: any Sage People employee with a manager who has not yet been migrated goes into a reconciliation queue. The customer's HR admin resolves the queue before Employee migration begins.
Employee record migration in dependency order
We run the production migration in record-dependency order: Departments (parent hierarchy established), Employees (with manager IDs resolved from the reconciliation queue), Employment records (job title, employment type, work location per employee), Compensation history (effective-dated pay records), Time Off balances and accrual rates, and Goals from performance reviews. Documents are processed in a pre-fetched batch immediately before Employee insert to avoid attachment URL expiration. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta migration, and workflow handoff
We freeze writes in Sage People during the cutover window, run a final delta migration of any records created or modified during the migration, then mark BambooHR as the system of record. We deliver the workflow configuration inventory document to the customer's admin team with BambooHR workflow rebuild instructions. We support a one-week hypercare window for reconciliation issues. We do not rebuild Sage People workflows as BambooHR approval workflows inside the migration scope; that is a separate configuration engagement.
Platform deep dives
Sage People
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Moderate HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Sage People 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
Sage People: 180 requests per minute with a maximum burst of 10 calls per second.
Data volume sensitivity
Sage People 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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