HRMS migration

Migrate from Built to BambooHR

Field-level mapping, validation, and rollback between Built and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.

Built logo

Built

Source

BambooHR

Destination

BambooHR logo

Compatibility

40%

4 of 10

objects map 1:1 between Built and BambooHR.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Built is an org chart automation platform that syncs employee data from ADP and HRIS sources to generate and maintain live reporting hierarchies. BambooHR is a cloud HRMS that centralizes employee records, payroll, time-off, onboarding, and ATS for small to mid-sized organizations. The migration from Built to BambooHR is not a direct replacement of like-for-like features — Built focuses on org chart generation and position management while BambooHR is a full HRMS with its own org chart module. We extract the underlying Employee records with their reporting-manager relationships and department assignments from Built, perform a two-pass import to resolve manager references using destination-assigned IDs, and map custom fields against BambooHR's standard employee schema. The visual org chart in Built is a rendering artifact and does not migrate; we document the hierarchy data so BambooHR's org chart renders from the migrated records. Attachments stored against Built employee profiles require a separate file-level export from Built support and are re-linked manually in BambooHR if that platform's file attachment feature is in use.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Built logo

Built

What's pushing teams away

  • Customization limitations make certain workflows feel rigid, with G2 users noting that some features cannot be adjusted to match organization-specific processes without workarounds.
  • Missing preferred name field support requires a configuration step to connect to ADP's preferred name data, a gap that surprised at least one reviewer expecting it to work out of the box.
  • Integration gaps with tools outside the supported ADP sync mean organizations using alternative payroll or HRIS systems may face manual import steps that erode the time-saving value proposition.
  • Onboarding complexity for organizations with non-standard HRIS configurations can extend time-to-value, with at least one G2 reviewer recommending dedicated onboarding specialist involvement to design customized workflows.

Choosing

BambooHR logo

BambooHR

What's pulling them in

  • Lowest friction entry point for SMBs moving off spreadsheets — intuitive interface means most teams are functional within days, not weeks.
  • Consolidation value: BambooHR merges ATS, onboarding, HR records, time-off, and payroll into a single pane of glass that employees never need to leave.
  • Volume discounts applied automatically by headcount, so pricing scales predictably as the company grows without renewal negotiations.
  • BambooHR reports most customers go live in four to six weeks, making it a realistic commitment for under-resourced HR teams.
  • Award-winning Support Heroes cited frequently in reviews — responsive human support after implementation is a differentiator.

Object mapping

How Built objects map to BambooHR

Each row shows how a Built 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.

Built

Employee

maps to

BambooHR

Employee

1:1
Fully supported

Built Employee records map directly to BambooHR Employee records. Name fields (first, last, preferred name), title, employment type, start date, and employee ID migrate as typed fields. We extract the full ADP-sourced field configuration from Built's Imports section during schema discovery and explicitly map any preferred name field that was enabled there. BambooHR's standard Employee Fields page is configured before migration to match the field set being imported.

Built

Manager Assignment

maps to

BambooHR

Employee > Manager lookup

1:1
Fully supported

Built stores the reporting manager as an Employee-to-Employee relationship rather than a standalone manager field. BambooHR references managers through the supervisor field on the Employee record, which points to another Employee record by internal ID. We perform a two-pass import: first loading all Employee base records without manager references, then resolving manager IDs using the destination-assigned Employee IDs and writing the supervisor relationship in the second pass. Circular manager assignments are detected and flagged before the second pass to prevent impossible hierarchies.

Built

Department

maps to

BambooHR

Department

1:1
Fully supported

Built Department records map cleanly to BambooHR Departments. We preserve the department name, department code if present, and the head-of-department relationship where Built surfaces that as a field or as a manager assignment. Department records are imported before Employee records so that the department reference is satisfied at the moment of Employee insert.

Built

Location

maps to

BambooHR

Location

lossy
Fully supported

Built Location records represent office sites or remote-work designations. Field naming and structure vary significantly between HRMS platforms. We review the source location schema during discovery, map Built location names to BambooHR Locations, and flag any multi-field address data that needs to be flattened or split to match BambooHR's location field structure. Remote-work designation fields are mapped to a BambooHR location named 'Remote' or equivalent if no specific remote designation field exists.

Built

Job Title

maps to

BambooHR

Job Title

1:1
Fully supported

Job title is stored as a field on the Employee record in Built and migrates as a free-text string to BambooHR's Job Title field. No transformation is required unless the destination uses a controlled job title vocabulary, in which case we flag the discrepancy during scoping and the customer decides whether to map to a picklist or keep open text.

Built

Employment Type

maps to

BambooHR

Employment Status

lossy
Mapping required

Built tracks whether an employee is full-time, part-time, contractor, or temporary. BambooHR uses an Employment Status field with a standard enumeration (Full-Time, Part-Time, Contractor, Intern, etc.). We check the source enumeration values against the destination's standard list during discovery and map or flag any non-matching values. Custom employment type values in Built require a custom field in BambooHR or a mapped value in the standard field.

Built

Custom Fields (Employee-level)

maps to

BambooHR

Custom Employee Fields

lossy
Mapping required

Built organizations can define custom properties on Employee records, and these are not always visible in the admin UI without browsing individual profiles. We extract the full custom field schema from Built's API at the start of migration, compare it against BambooHR's standard Employee Fields, and pre-create any matching custom fields in BambooHR before import begins. Custom field data types (text, date, dropdown, checkbox) are mapped to their BambooHR equivalents. Note: BambooHR cannot pass custom fields for certain tab sections (Time Off, Benefits, Performance, Onboarding) via its API, per documented integration limitations; we flag any Built custom fields that fall in these sections for manual re-entry or manual configuration post-migration.

Built

Attachments / Files

maps to

BambooHR

Employee Documents

lossy
Fully supported

Built stores documents and uploaded files against Employee profiles. Attachments are not included in Built's standard API export — this is a documented limitation. We request a separate file-level export from Built support as a parallel workstream, extract files to a folder structure keyed by Employee ID, and re-link them manually in BambooHR if the customer's BambooHR plan supports document attachments on employee records. We do not automate this step because both the export and re-link require manual intervention from Built support and BambooHR admin access respectively.

Built

Org Chart Visualization

maps to

BambooHR

BambooHR Org Chart

lossy
Fully supported

The visual org chart in Built is a rendering of underlying Employee and manager relationship data, not a separate data object. We do not migrate the visualization. Instead, we ensure the Employee, Department, Location, and manager relationship data is correctly sequenced in BambooHR so that BambooHR's own org chart module renders the hierarchy from the migrated records. We document the original org chart structure in the migration handoff document so the customer's BambooHR admin can visually validate the result after migration.

Built

Position / Headcount Data

maps to

BambooHR

Employee + Department (position context)

1:many
Fully supported

Built's Position Management and Headcount Planning modules track position-level data (headcount plans, position history, approval workflows) that does not map directly to a single BambooHR object. Employee-level position context (job title, department assignment, employment type) migrates as part of the Employee record. Headcount planning data is not a standard BambooHR object and is documented in the handoff report for the customer to evaluate against BambooHR's Advanced Analytics or a third-party headcount planning tool.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Built logo

Built gotchas

Medium

ADP sync field names differ between source and destination

Medium

Manager relationships require two-pass import sequencing

High

Attachments and files are not included in standard API exports

Low

Custom field schema is per-organization and not self-documenting

BambooHR logo

BambooHR gotchas

High

Undocumented API rate limits can trigger 503 errors

High

Per-employee pricing model requires active record count verification

Medium

API credentials must be sent on every request to avoid extra round trips

Medium

Custom field schema varies per account and requires manual inventory

Low

Document and attachment exports are not covered by standard report exports

Pair-specific challenges

  • Built's ADP sync field mapping requires explicit configuration

    Built pulls employee data from ADP through a sync that does not surface all ADP fields by default. The preferred name field is a documented example — Built surfaces it from ADP but it is not enabled by default and requires a manual toggle in the Imports section of Company Settings. If this field was not explicitly enabled in Built, preferred names will not be in the export and will arrive as blank at BambooHR. We check this configuration during migration scoping, explicitly enable any ADP fields the customer wants migrated, and include a pre-migration configuration checklist in the discovery output.

  • Attachments are excluded from Built's standard API export

    Employee documents and uploaded files attached to profiles in Built do not appear in the standard data export. This is a documented limitation of Built's export mechanism. If the customer needs attachments migrated, a separate file-level export must be requested directly from Built support. We handle the received files as a parallel batch: extracted to a folder structure keyed by employee ID, then re-linked manually in BambooHR's document attachment feature if the customer's BambooHR plan supports it. This step is not automated because it requires manual action from both Built support and the BambooHR admin.

  • BambooHR cannot import custom fields in certain tab sections via API

    BambooHR's API has documented limitations on which employee data sections can receive custom field imports. Fields in the Time Off, Benefits, Performance, and Onboarding tabs cannot be passed via API. Additionally, dropdown list values must exactly match the possible options defined in BambooHR, and multi-select list fields cannot be passed at all. We audit Built's custom field schema against these constraints during discovery and flag any fields that fall in restricted sections, so the customer can plan for manual re-entry or admin-side configuration before migration day.

  • Built's visual org chart does not migrate as a data object

    The org chart in Built is a visual rendering of underlying employee hierarchy data, not a standalone data object. We do not export the visualization. The employee records, manager relationships, departments, and locations that drive the org chart all migrate, and BambooHR's own org chart module renders the hierarchy from those records. We include a visual validation step in the migration handoff checklist so the customer's HR admin can confirm the BambooHR org chart matches the original Built view after migration.

  • BambooHR lacks a native workflow or automation engine

    BambooHR does not include a built-in workflow automation engine for triggering actions based on employee record changes. Built had no automation engine either, so this is not a gap introduced by the migration. However, organizations that plan to use BambooHR's ATS, onboarding, or time-off modules for automated task routing should be aware that these require manual configuration or third-party integrations (Zapier, API-based tools) rather than a native rule builder. We document any implied automation intent from the customer's current Built usage in the handoff report so this configuration gap is not a post-migration surprise.

Migration approach

Six steps for a successful Built to BambooHR data migration

  1. Discovery and field schema audit

    We audit the source Built account: employee record count, department count, location count, custom field definitions (extracted via API across all profiles to catch fields not visible in the admin UI), manager relationship volume, any ADP sync field configuration, and whether a separate attachments export has been requested from Built support. We pair this with a review of the customer's target BambooHR plan and existing Employee Fields configuration. The discovery output is a written migration scope, a pre-migration configuration checklist (including ADP field toggles and BambooHR custom field setup), and an attachments export work order if needed.

  2. Schema mapping and two-pass import design

    We design the field mapping between Built's schema and BambooHR's Employee, Department, and Location objects. Manager relationships are mapped to BambooHR's supervisor field using a two-pass strategy: base employee records load first without supervisor references, then we resolve manager IDs using destination-assigned BambooHR Employee IDs and write the supervisor relationship in the second pass. We also check for circular manager assignments at this stage and flag any before the second pass runs. Custom fields are mapped to their BambooHR types, with fields in restricted tab sections (Time Off, Benefits, Performance, Onboarding) noted for manual re-entry.

  3. 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 in, departments in, locations in), spot-checks a random sample of 20-30 records against the Built source, and validates that the org chart renders correctly from the migrated data. Mapping corrections are captured here before any production migration begins. This step also validates that BambooHR custom fields are correctly configured and that any restricted-tab fields are flagged for manual handling.

  4. Attachments export coordination and parallel file processing

    If the customer requires attachments, we issue a formal request to Built support for a file-level export. Upon receipt, we extract files to a folder structure keyed by Built Employee ID and cross-reference against the destination Employee records in BambooHR. We do not automate the re-link step because BambooHR's file attachment UI requires admin-level manual linking per employee. We deliver the organized file set with a mapping manifest so the BambooHR admin can complete the re-link in a single batch session.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Departments first (satisfied before employees), then Locations, then Employees (first pass, no supervisor references), then Employee supervisor relationships (second pass with resolved IDs), then custom field data for fields in supported sections. Each phase emits a row-count reconciliation report before the next phase begins. BambooHR API rate limits are respected with exponential backoff on throttled responses. The customer freezes employee record writes in Built during the production migration window.

  6. Cutover, validation, and org chart handoff

    We run a final delta migration of any records modified during the production migration window, then enable BambooHR as the system of record. We validate the BambooHR org chart against the documented Built org chart structure and flag any hierarchy discrepancies for the customer's HR admin to review. We deliver the migration handoff document: record count reconciliation by object, a list of any custom fields that could not be imported via API with manual re-entry instructions, the attachments file manifest, and the org chart validation notes. We support a one-week hypercare window for reconciliation issues raised by the customer's team.

Platform deep dives

Context on both ends of the pair

Built logo

Built

Source

Strengths

  • Automated org chart generation from HRIS data removes weeks of manual spreadsheet maintenance per quarter.
  • ADP sync integrates with payroll data to keep the org chart current without re-entering employee information.
  • Visual click-and-drag editing gives non-technical HR staff direct control over organizational changes.
  • Single source of truth for employee data consolidates fragmented spreadsheets and improves cross-team transparency.
  • Responsive onboarding support with named account representatives helps new customers get to value quickly.

Weaknesses

  • Custom field flexibility is limited compared to platforms with full custom object builders.
  • Organizations not using ADP may face manual import workflows that reduce the time-saving benefit.
  • Preferred name field support requires a non-obvious configuration step in the Imports section of Company Settings.
  • Visual-only org chart edits do not always propagate back to the underlying HRIS data without additional syncing.
  • Feature set is narrower than full HRMS suites, which may create tool-sprawl for organizations needing broader HR functionality.
BambooHR logo

BambooHR

Destination

Strengths

  • Single platform consolidating ATS, onboarding, HR records, payroll, and time-off reduces system sprawl for SMBs.
  • Fast implementation — BambooHR reports four to six weeks from kickoff to go-live for most customers.
  • Per-employee pricing with automatic volume discounts makes cost predictable as headcount grows.
  • Strong customer support reputation (Support Heroes) cited consistently across G2, Capterra, and direct testimonials.
  • Well-documented API with UTF-8 encoding, clear field types, and HTTPS-only access.

Weaknesses

  • Mobile application is significantly limited compared to the desktop experience, frustrating remote and field workers.
  • Companies above 150–200 employees frequently outgrow the platform's feature depth and customization surface.
  • Limited advanced reporting and analytics compared to enterprise HR platforms — custom report building is the ceiling.
  • PTO and profile customization are pain points — non-standard accrual policies and complex org structures require workarounds.
  • Document management and attachment handling lack the granularity of dedicated document-centric HR systems.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Built and BambooHR.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Built: Not publicly documented.

  • Data volume sensitivity

    B

    Built doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Built to BambooHR migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Built to BambooHR data migrations

Answers to the questions buyers ask most during Built to BambooHR migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and three weeks for accounts under 500 employees with no custom fields and no attachment export requirement. Migrations with custom field schema extraction, a large manager-hierarchy requiring two-pass resolution, or an attachments export from Built support move to four to six weeks. BambooHR's own implementation team runs separately and typically adds four to six weeks to the overall timeline from contract signing to go-live, independent of the data migration work we perform.

Adjacent paths

Related migrations to explore

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