HRMS migration

Migrate from Built to Crelate

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

Built logo

Built

Source

Crelate

Destination

Crelate logo

Compatibility

46%

6 of 13

objects map 1:1 between Built and Crelate.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Built and Crelate serve different primary functions: Built automates org chart generation from HRIS feeds for mid-market HR teams, while Crelate is a recruiting ATS and CRM built for staffing and recruiting firms. Migrating from Built to Crelate means taking an employee directory with a live hierarchy and mapping it into a candidate and client database. The core challenge is that Crelate's People object is the flexible container, but org chart visualization is not native to Crelate. We preserve the manager-employee relationship as structured data on each People record so the hierarchy is queryable even if it requires a third-party org chart tool to render visually. Custom fields from Built migrate as Crelate custom fields on People. We do not migrate Built's ADP sync configuration, visual org chart renders, or workflow automations; these require rebuild or manual reconfiguration in Crelate.

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

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How Built objects map to Crelate

Each row shows how a Built object lands in Crelate, 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

Crelate

People

1:1
Fully supported

Built Employee records map to Crelate People records. Each Employee's name fields, job title, employment type, and start date migrate as standard or custom fields on the People record. The Employee's unique ID in Built is preserved as a custom field built_employee_id__c for reconciliation. If the organization uses Crelate to track both current employees and candidates, the migrated People records are tagged with a custom status field to distinguish them from recruiting candidates.

Built

Department

maps to

Crelate

Custom Field on People

lossy
Fully supported

Built Department records do not map to a standalone Crelate object because Crelate does not have a native Department object. Instead, we store the department name as a custom picklist field on the People record. The department head assignment (stored in Built as a manager reference) migrates as a separate People-to-People lookup field if Crelate's schema supports lookup relationships on People, or as a custom text field referencing the manager's name if the schema does not support cross-record lookups.

Built

Location

maps to

Crelate

Custom Field on People

lossy
Fully supported

Built Location records represent office sites or remote-work designations. Crelate does not have a native Location object, so we store location as a custom picklist or text field on the People record. We extract the full location schema during scoping and compare it against Crelate's available field types to choose between picklist (for a finite set of offices) or text (for ad-hoc locations). Remote-work designations are preserved as a separate boolean or picklist value in the same field.

Built

Job Title

maps to

Crelate

Custom Field on People

1:1
Fully supported

Built stores job title as a free-text field on the Employee record. It migrates directly to a custom text field on the Crelate People record. No transformation is required because job title is a standard free-text field in both platforms. If the destination Crelate org uses a standardized job title taxonomy, we can apply a lookup or picklist during migration, but this requires the customer to provide the title standardization map during scoping.

Built

Employment Type

maps to

Crelate

Custom Field on People

1:1
Mapping required

Built tracks full-time, part-time, contractor, and temporary employment types as an enumerated property on the Employee record. These values map directly to a Crelate custom picklist field on People with equivalent values. We verify the destination picklist values during scoping and add any missing values to Crelate before migration so no records land with null employment type.

Built

Manager Assignment

maps to

Crelate

Manager Lookup on People

lossy
Fully supported

Built stores manager assignment as an Employee-to-Employee relationship rather than a standalone field. Crelate People records support a Manager reference field pointing to another People record. We perform a two-pass migration: first loading all People base records with name and contact data, then resolving manager references using the destination-assigned People IDs. Circular manager assignments (Employee A manages Employee B who manages Employee A) are detected and flagged before the second pass runs to prevent impossible hierarchies from being created.

Built

Employee Start Date

maps to

Crelate

Custom Date Field on People

1:1
Fully supported

Built preserves each Employee's effective start date as a date field. This migrates to a custom date field on the Crelate People record, preserving the original date for tenure calculation and reporting. If Built stores a hire date and a start date (which can differ for conditional hires), we map both to separate custom date fields on People.

Built

Employee Status

maps to

Crelate

Custom Field on People

lossy
Fully supported

Built tracks active and inactive status on Employee records. We map this to a custom picklist field on Crelate People with values for Active, Inactive, On Leave, and Terminated. If the organization uses additional status values in Built (such as a custom probationary status), we add these to the destination picklist during schema creation before migration begins.

Built

Custom Fields (Employee)

maps to

Crelate

Custom Fields on People

lossy
Fully supported

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 by querying the Built API at the start of migration and comparing against the standard Employee fields to build a complete field list. Each custom field is created in Crelate as a matching custom field on People before migration begins. Data type mapping follows: text to text, number to number, date to date, and picklist to picklist.

Built

Built Company Data

maps to

Crelate

Client/Company in Crelate

1:many
Fully supported

If Built stores organization-level company data (such as the parent organization name or company-level custom fields), this maps to Crelate's Client or Company object if present in the destination Crelate org. We check for the existence of a Company or Client object during scoping and configure the mapping accordingly. If no Company object exists in the destination Crelate configuration, company-level data is stored as fields on the People record.

Built

ADP Sync Fields

maps to

Crelate

Custom Fields on People

lossy
Fully supported

Built's ADP integration pulls employee data from ADP's export fields, which do not always use the same names as equivalent fields in the destination HRMS. 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. We check this configuration during migration scoping, explicitly enable any ADP fields the customer wants migrated, and create corresponding custom fields in Crelate so the data lands rather than arriving blank.

Built

Org Chart Visualization

maps to

Crelate

Not Migrated (Manual Rebuild)

1:1
Fully supported

Built's org chart is a visual rendering of the underlying Employee hierarchy data, not a separate data object. When migrating from Built, we extract the underlying Employee records with manager relationships intact as structured data on People records. The visual org chart itself does not migrate. After cutover, the customer can use Crelate's reporting and People records to rebuild the org chart view using a third-party org chart tool or a manual configuration. The underlying manager-employee relationship data is fully preserved and queryable in Crelate.

Built

Employee Attachments

maps to

Crelate

Documents on People

1:1
Fully supported

Built stores documents and files against Employee profiles, but attachments are not included in the standard API export. This is a documented limitation of Built's export mechanism. If the customer requests attachment migration, we coordinate a separate file-level export from Built support, extract files to a folder structure keyed by employee ID, and re-link them in Crelate as documents attached to the corresponding People records. This is a parallel file batch that runs outside the standard record migration and requires advance coordination with Built support.

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

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • Attachments require a separate file-level export from Built support

    Built stores documents and uploaded files against Employee profiles, but these are not included in the standard data export. This is a documented limitation of Built's API export mechanism. If you need attachments migrated, you must coordinate a separate file-level export request with Built support before migration begins. We handle the exported files as a parallel batch: extracted to a folder structure keyed by employee ID, then re-linked manually in Crelate as documents on the corresponding People records. This step extends the migration timeline by one to two weeks and requires your organization to initiate the Built support request.

  • Manager relationships require two-pass import sequencing

    Built stores manager assignment as an Employee-to-Employee relationship rather than a standalone field. Crelate's People record uses a Manager lookup pointing to another People record. Most HRMS systems, including Crelate, reference records by internal ID rather than name. We perform a two-pass import: first loading all People base records with the manager name stored as a temporary text field, then resolving each manager name to the destination-assigned People ID and writing the lookup reference. Circular manager assignments (Employee A manages Employee B who manages Employee A) are detected and flagged before the second pass runs to prevent impossible hierarchies from being created.

  • ADP sync field names differ between source and destination

    Built's ADP integration pulls data from ADP's export fields, which do not always use the same names as the equivalent fields in Crelate. 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. We check this configuration during migration scoping and explicitly enable any ADP fields you want migrated so they do not arrive blank at Crelate. If preferred name data is not surfaced in Built at migration time, it cannot be retroactively extracted from ADP without re-running the ADP sync.

  • Crelate is a recruiting ATS, not an HRMS — org chart rendering requires a third-party tool

    Crelate is designed as an Applicant Tracking System and recruiting CRM for staffing and recruiting firms. It does not have a native org chart visualization feature. When migrating from Built, the manager-employee relationship is preserved as structured data on each People record, making the hierarchy queryable. However, the visual org chart must be rebuilt in a separate tool or manually in Crelate. We document the full organizational hierarchy from Built during scoping so the customer can recreate the visual structure post-migration. This is a key expectation to set before migration begins.

  • Custom field schema is per-organization and not self-documenting in Built

    Built organizations can define custom properties on Employee records, but these are not always visible in the admin UI without browsing individual profiles. We extract the full custom field schema by querying the Built API at the start of migration and comparing against the standard Employee fields to build a complete field list. This ensures no custom-only data is missed during the mapping phase. We strongly recommend reviewing the extracted schema with your HR team during the discovery call to confirm that all visible and hidden custom fields should migrate.

Migration approach

Six steps for a successful Built to Crelate data migration

  1. Discovery and scoping

    We audit the source Built environment across all Employee records, Department and Location assignments, manager relationships, custom field definitions, and any ADP sync field configurations. We extract the complete custom field schema by querying the API and comparing it against standard Employee fields. We assess total record volume, hierarchy depth (number of manager levels), and whether a separate attachment file export has been requested. The discovery output is a written migration scope document that maps each Built field to a Crelate custom field with the chosen field type, plus a manager resolution strategy and a timeline estimate.

  2. Schema design in Crelate

    We design the destination schema in Crelate before any data moves. This includes creating all required custom fields on the People object to match the Built custom field schema (with type-mapped Crelate field types), configuring the Manager lookup field if not already present, and adding picklist values for employment type, employee status, department, and location. We coordinate with the customer's Crelate admin to deploy the schema in a sandbox environment first for validation. Department and location data are treated as picklist or text fields on People since Crelate does not have native Department or Location objects.

  3. Test migration in Crelate sandbox

    We run a full test migration into Crelate's sandbox environment using production-like data volume. The customer's HR or operations lead spot-checks 25-50 randomly selected People records against the Built source to verify name accuracy, job title, employment type, start date, and department. Manager relationships are verified by tracing a sample of employees up and down the hierarchy. Any mapping corrections, missing picklist values, or schema issues are resolved in sandbox before production migration begins. Sign-off from the customer's HR lead is required before the production cutover date is set.

  4. Production migration in dependency order

    We run production migration in record-dependency order. First, we load all People base records with standard fields (name, email, phone, job title, employment type, start date) and store manager name as a temporary text field. Second, we resolve each manager name to the destination-assigned People ID and write the Manager lookup reference. Third, we load custom field data and ADP sync fields. Fourth, if a separate file export was completed, we batch-upload attachments and link them to the corresponding People records. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Cutover and final validation

    We freeze Built write access during cutover and run a final delta migration of any records modified during the migration window. We deliver a migration completion report with record counts by object, a sample of validated records, and a list of any records that could not be migrated with the reason for each exclusion. We provide a written organizational hierarchy document extracted from the manager relationships so the customer can recreate any org chart visualization in a third-party tool. We do not rebuild workflows, automations, or ADP sync configurations in Crelate scope; these require separate configuration post-migration.

  6. Post-migration handoff

    We provide a one-week hypercare window following cutover where we resolve any data quality issues raised by the customer's team. We do not rebuild Built's ADP sync configuration in Crelate as part of the migration scope; we document the ADP sync fields that were migrated so the customer's IT team can configure a new ADP integration in Crelate if needed. Org chart visualization rebuilding using a third-party tool is outside scope but we supply the complete manager-employee relationship data in a spreadsheet for manual upload if needed.

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.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

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 Crelate.

  • 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 Crelate 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 Crelate data migrations

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

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Migrations under 500 employees with fewer than 20 custom fields and no attachment export complete in two to four weeks. Migrations with large organizations (over 2,000 employees), extensive custom field schemas, deep multi-level manager hierarchies, or parallel attachment file exports move to four to eight weeks because of two-pass manager resolution, custom field schema creation in Crelate, and file batching. Crelate's own migration documentation cites one to three weeks for standard ATS migrations; the Built to Crelate pairing requires additional scoping for the manager relationship resolution which can extend the timeline.

Adjacent paths

Related migrations to explore

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