Migrate your Built data
Org chart automation platform for mid-market and enterprise teams. Built syncs employee data from HRIS sources like ADP to generate and maintain live, shareable org structures without manual maintenance.
In its favor
Why people choose Built
The signal that keeps Built on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Automated org chart generation eliminates the manual spreadsheet maintenance that HR teams report spending hours on each week, according to G2 reviewers describing Built as a direct replacement for manual org structure documentation.
ADP integration allows organizations already running ADP for payroll to sync employee data into Built automatically, reducing duplicate data entry and ensuring the org chart reflects the current HRIS state without manual imports.
Click-and-drag org chart editing lets non-technical HR staff reorganize reporting structures visually without touching code or requesting IT assistance, a feature praised in multiple G2 reviews as intuitive for end users.
Centralized employee data consolidates information scattered across spreadsheets and shared drives into a single searchable system, improving transparency and reducing decision-making delays across management teams, per validated G2 reviews.
Account setup and ease of use receive consistent praise in G2 reviews, with specific mention of effective onboarding support from named Built representatives during initial implementation.
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.
Reasons to switch
Why people leave Built
The recurring reasons buyers give for replacing Built. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Built fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Built pricing overview
Built pricing is not publicly disclosed on their website and appears to be quote-driven based on employee headcount and feature tier. Organizations should request a custom quote, particularly if ADP integration or enterprise security controls are required.
Starter
Tier 1 of 3
Not publicly listed
What's included
Need help selecting your HRMS?
Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Built's schedule — see our quote-based pricing →
What gets migrated
Built object support
Object-by-object support for Built migrations. Per-pair details surface during scoping.
Employees
Fully supportedThe core object in Built representing individual workers. Each Employee record includes name fields, title, employment type, start date, and reporting relationship. We map Employee records 1:1 into the destination HRMS and preserve the Manager assignment as a foreign-key reference so reporting hierarchies render correctly at the destination.
Departments
Fully supportedDepartment records represent organizational units within Built. They map cleanly to the equivalent concept in most destination HRMS platforms. We preserve the department name, code if present, and head-of-department assignment during migration.
Locations
Mapping requiredLocation records represent office sites or remote-work designations. Field naming and hierarchy vary significantly between HRMS platforms. We review the source location schema before migration and apply a value-mapping pass to align with the destination's location taxonomy.
Job Titles
Fully supportedJob title is stored as a field on the Employee record in Built. Titles migrate as free-text string fields which is standard across most HRMS destinations. No transformation required unless the destination enforces a controlled job-title vocabulary.
Employment Type
Mapping requiredBuilt tracks whether an employee is full-time, part-time, contractor, or temporary. These values map cleanly in most cases, but we check the destination's enumeration values since some HRMS platforms use different labels (e.g., 'Regular' vs 'Permanent') that require a lookup-table translation.
Manager Assignments
Mapping requiredThe reporting relationship is stored as a link from Employee to another Employee record. We resolve these links during migration by performing a two-pass import: first load all Employee records, then update the manager reference field with the destination IDs. Circular reference detection is applied to prevent impossible reporting loops.
Custom Fields
Mapping requiredOrganizations can define custom properties on Employee records in Built. Custom field names, data types, and picklist values vary by org. We extract the full custom field schema at the start of migration and apply a field-level mapping pass to align with the destination's custom property names and types.
Attachments
Not in this platformBuilt stores documents and files against Employee profiles. Attachments are not included in standard API exports and require a separate file-level export process. We can export attachments as individual files and store them in a parallel folder structure keyed by employee ID, but they cannot be re-linked automatically inside most destination HRMS without custom integration work.
Org Chart Visualizations
Not in this platformThe visual org chart is a rendering of underlying employee hierarchy data, not a separate data object. When migrating out of Built, we extract the underlying Employee and relationship data; the visual layout itself cannot be transferred and must be regenerated at the destination from the migrated hierarchy data.
| Object | Support | Notes |
|---|---|---|
| Employees | Fully supported | The core object in Built representing individual workers. Each Employee record includes name fields, title, employment type, start date, and reporting relationship. We map Employee records 1:1 into the destination HRMS and preserve the Manager assignment as a foreign-key reference so reporting hierarchies render correctly at the destination. |
| Departments | Fully supported | Department records represent organizational units within Built. They map cleanly to the equivalent concept in most destination HRMS platforms. We preserve the department name, code if present, and head-of-department assignment during migration. |
| Locations | Mapping required | Location records represent office sites or remote-work designations. Field naming and hierarchy vary significantly between HRMS platforms. We review the source location schema before migration and apply a value-mapping pass to align with the destination's location taxonomy. |
| Job Titles | Fully supported | Job title is stored as a field on the Employee record in Built. Titles migrate as free-text string fields which is standard across most HRMS destinations. No transformation required unless the destination enforces a controlled job-title vocabulary. |
| Employment Type | Mapping required | Built tracks whether an employee is full-time, part-time, contractor, or temporary. These values map cleanly in most cases, but we check the destination's enumeration values since some HRMS platforms use different labels (e.g., 'Regular' vs 'Permanent') that require a lookup-table translation. |
| Manager Assignments | Mapping required | The reporting relationship is stored as a link from Employee to another Employee record. We resolve these links during migration by performing a two-pass import: first load all Employee records, then update the manager reference field with the destination IDs. Circular reference detection is applied to prevent impossible reporting loops. |
| Custom Fields | Mapping required | Organizations can define custom properties on Employee records in Built. Custom field names, data types, and picklist values vary by org. We extract the full custom field schema at the start of migration and apply a field-level mapping pass to align with the destination's custom property names and types. |
| Attachments | Not in this platform | Built stores documents and files against Employee profiles. Attachments are not included in standard API exports and require a separate file-level export process. We can export attachments as individual files and store them in a parallel folder structure keyed by employee ID, but they cannot be re-linked automatically inside most destination HRMS without custom integration work. |
| Org Chart Visualizations | Not in this platform | The visual org chart is a rendering of underlying employee hierarchy data, not a separate data object. When migrating out of Built, we extract the underlying Employee and relationship data; the visual layout itself cannot be transferred and must be regenerated at the destination from the migrated hierarchy data. |
Gotchas
What to watch for in Built migrations
Issues we've hit on past Built migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
ADP sync field names differ between source and destination
Manager relationships require two-pass import sequencing
Attachments and files are not included in standard API exports
Custom field schema is per-organization and not self-documenting
| Severity | Issue |
|---|---|
| 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 |
Leaving Built?
Where Built customers move next
5 destinations Built can migrate to.
How a Built migration works
Four steps, Built-specific
Connect
Not publicly documented into Built. Scopes limited to read-only on the data we move.
Map
We translate Built-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Built quirks before production.
Migrate
Full migration with Built rate-limit handling. Rollback available throughout.
FAQ
Built migration FAQ
Answers to the questions buyers ask most during Built migration scoping. Not seeing yours? Book a call.
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