HRMS migration
Field-level mapping, validation, and rollback between SupportFinity and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
SupportFinity
Source
BambooHR
Destination
Compatibility
10 of 12
objects map 1:1 between SupportFinity and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from SupportFinity to BambooHR is a cross-category migration: SupportFinity is a recruitment and applicant tracking platform; BambooHR is a full HRIS that manages employees from offer through exit. The migration is not a 1:1 record copy — it requires a schema redesign. Candidate records in SupportFinity become either Applicants in BambooHR's ATS module or Employee records depending on hiring status at migration time. Pipeline stages, assessment scores, interview notes, and offer data must be decomposed and remapped to BambooHR's object model. We flag upfront that SupportFinity has no publicly documented API, making data extraction a scoping-dependent process that may require admin-data downloads or SupportFinity team coordination. We do not migrate SupportFinity workflows, AI agent configurations, or the Revo/Atom/Genie/Sia automation stack as code; we deliver a written inventory for the customer's admin to rebuild in BambooHR or adjacent tools.
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 SupportFinity 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.
SupportFinity
Jobs (Positions)
BambooHR
Job Opening (BambooHR ATS)
1:1SupportFinity Job records map to BambooHR Job Opening objects. We map job title, description, department, location, and status fields directly. Note that BambooHR caps active job openings by plan tier: 5 on Core, 25 on Pro, 50 on Elite. If the SupportFinity instance has more open jobs than the destination plan allows, we scope the overflow to a written inventory for admin to either close archived jobs or upgrade the BambooHR plan before migration proceeds.
SupportFinity
Candidates
BambooHR
Applicant (ATS module) or Employee (HRIS module)
1:manySupportFinity Candidates are the core record and may span the entire hiring lifecycle. We split at migration time based on the Candidate's most recent pipeline status: Candidates in an active or rejected pipeline stage become BambooHR Applicants; Candidates with an accepted offer and a hired status become BambooHR Employee records. We preserve all SupportFinity profile fields (name, email, phone, resume, work history, education, custom profile fields) as mapped Applicant or Employee fields, with the original SupportFinity Candidate ID stored in a custom field sf_candidate_id__c for cross-system audit.
SupportFinity
Applications
BambooHR
Application (linked to Job Opening and Applicant)
1:1SupportFinity Application records link a Candidate to a Job with timestamps, source channel, and current stage. We map these to BambooHR Applications as the join record between Applicant and Job Opening. Application history including withdrawn, rejected, and hired states migrates as the application status field. The original application submission date migrates as Created Date; the last status change date migrates as Modified Date.
SupportFinity
Pipeline Stages
BambooHR
Hiring Pipeline Stage
lossySupportFinity uses configurable pipeline stages (Screening, Interview, Offer, Hired, and any custom stages). Stage names and count are tenant-specific. We map SupportFinity stage IDs and labels to BambooHR's hiring pipeline stages, preserving probability percentages where defined. Skip logic and conditional stage routing in SupportFinity requires manual review post-migration since BambooHR's pipeline model is linear rather than branching.
SupportFinity
Assessments (DISC+ and AI-generated)
BambooHR
Custom Fields on Applicant/Employee
1:1SupportFinity DISC+ scores and Atom-agent-generated custom assessments have no native equivalent in BambooHR. We export assessment results as structured scores and map them to custom Applicant or Employee fields (e.g., disc_d_score__c, disc_i_score__c, atom_domain_score__c). Custom rubric definitions and AI-generated assessment logic require rebuild in BambooHR or an external assessment vendor; we document the full assessment inventory as part of the migration scope for the customer's admin to address.
SupportFinity
Interviews
BambooHR
Interview records (custom fields on Application)
1:1SupportFinity Interview records include scheduled time, interviewer assignment, and interviewer notes. Sia interview recordings are binary video/audio files that do not export via JSON API and require a separate file-transfer pass (see Gotchas). We migrate interview date, interviewer name, duration, and notes as structured fields on the corresponding BambooHR Application record. Scheduling data maps to a custom date field on the Application.
SupportFinity
Users (Team Members)
BambooHR
BambooHR Users
1:1SupportFinity User accounts (Recruiter, Hiring Manager, Admin roles) map to BambooHR User records. We resolve users by email match and map the role designation. Note that SupportFinity Growth plan caps at 3 seats while BambooHR's per-employee pricing scales with headcount; we flag any user above the 3-seat cap during scoping so the customer can provision the appropriate BambooHR plan before migration.
SupportFinity
Offers
BambooHR
Offer data (onboarding packet or custom fields on Employee)
1:1SupportFinity Offer records include salary, start date, offer status, and any conditional terms. We map offer details to BambooHR Employee records as compensation fields (pay rate, pay frequency, start date, employment status). If the customer uses BambooHR Onboarding, the offer data feeds the New Hire Packet. Conditional offer terms and custom offer letter content are preserved as document attachments in BambooHR's file storage for the Employee record.
SupportFinity
Notes and Comments
BambooHR
Employee or Applicant Notes
1:1Free-text notes attached to Candidates or Applications in SupportFinity migrate as Notes on the corresponding BambooHR Applicant or Employee record. We preserve timestamps and author attribution (resolved via User email mapping). If the author is a SupportFinity user who will not be provisioned in BambooHR, the note is attributed to a system-admin placeholder for the customer to reassign manually.
SupportFinity
Screening Questions
BambooHR
Custom Fields on Application
1:1Job-specific screening questions and candidate answers in SupportFinity are custom fields at the Application level. We map question text and answer values to custom fields on the BambooHR Application record (e.g., screening_answer_1__c, screening_answer_2__c). Skip logic and conditional branching on screening questions requires manual review post-migration since BambooHR does not have native conditional question routing in its ATS module.
SupportFinity
Communications (Email/SMS threads)
BambooHR
Applicant Comments or Email Activity
1:1SupportFinity unlimited mailboxes and candidate communication threads map to BambooHR Applicant activity. Email thread structure migrates as sequential comment entries on the Applicant record with timestamps preserved. SMS message history migrates as a custom field block if the BambooHR ATS supports it at the destination plan tier. The thread metadata (send date, recipient, direction) is preserved as structured comment fields.
SupportFinity
Talent Signals
BambooHR
Custom Numeric Fields on Applicant
1:1AI-generated talent signals and ranking scores from SupportFinity (Revo, Genie ranking outputs) are proprietary metadata that have no native equivalent in BambooHR. We export raw scores and signal labels as custom numeric and text fields on the Applicant record (e.g., ai_talent_rank__c, ai_signal_label__c). These are informational in BambooHR and do not drive any native workflow; we flag them as requiring admin review post-migration to determine whether they remain useful or should be deprecated.
| SupportFinity | BambooHR | Compatibility | |
|---|---|---|---|
| Jobs (Positions) | Job Opening (BambooHR ATS)1:1 | Fully supported | |
| Candidates | Applicant (ATS module) or Employee (HRIS module)1:many | Fully supported | |
| Applications | Application (linked to Job Opening and Applicant)1:1 | Fully supported | |
| Pipeline Stages | Hiring Pipeline Stagelossy | Mapping required | |
| Assessments (DISC+ and AI-generated) | Custom Fields on Applicant/Employee1:1 | Fully supported | |
| Interviews | Interview records (custom fields on Application)1:1 | Mapping required | |
| Users (Team Members) | BambooHR Users1:1 | Fully supported | |
| Offers | Offer data (onboarding packet or custom fields on Employee)1:1 | Fully supported | |
| Notes and Comments | Employee or Applicant Notes1:1 | Fully supported | |
| Screening Questions | Custom Fields on Application1:1 | Mapping required | |
| Communications (Email/SMS threads) | Applicant Comments or Email Activity1:1 | Fully supported | |
| Talent Signals | Custom Numeric Fields on Applicant1:1 | 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.
SupportFinity gotchas
Credits consumption rate is non-linear for AI features
Interview recordings stored as binary attachments require separate export handling
Growth plan 3-seat limit applies to team members, not candidates
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 extraction method assessment
We audit the SupportFinity instance for record volume across Jobs, Candidates, Applications, Assessments, Interviews, Offers, and Team Members. Because SupportFinity lacks a public API, we assess the available extraction method during scoping: admin-panel bulk export, SupportFinity-facilitated data dump (Growth or Enterprise), or manual record export. We also verify the active job count against the target BambooHR plan tier's job opening cap. The discovery output is a written migration scope document identifying the extraction method, any data completeness gaps, and the destination BambooHR plan recommendation.
Candidate status split and schema design
We design the destination schema in BambooHR before any data moves. This includes provisioning custom Applicant and Employee fields to capture SupportFinity profile data, assessment scores, screening answers, and interview notes. We define the Candidate split rule: Candidates in open or rejected pipeline stages become BambooHR Applicants; Candidates with accepted offers become BambooHR Employees. We also map SupportFinity pipeline stages to BambooHR hiring pipeline stages, preserving stage labels and probability percentages. The schema is validated in a BambooHR sandbox or staging environment before production migration begins.
Extraction and data extraction validation
We execute the extraction using the identified method from Step 1. For admin-panel exports, we work with the customer's SupportFinity admin to ensure all fields are included in the export (standard exports may omit custom properties). We validate the extracted CSV or JSON against the SupportFinity record counts reported during discovery, flag any missing fields or truncated records, and request a re-export if gaps exceed a defined threshold (typically 2% of any object type). We do not proceed to transformation until data completeness is confirmed.
Data transformation and candidate split
We run the transformation phase applying the Candidate split rule defined in Step 2. Each SupportFinity Candidate is evaluated against its most recent application status and assigned to either a BambooHR Applicant record or an Employee record. Assessment scores, screening answers, interview notes, and communication threads are decomposed and mapped to the corresponding custom fields on the target record. SupportFinity User IDs are resolved to BambooHR User emails for attribution on notes and interview records. Any SupportFinity-specific fields that have no BambooHR equivalent are mapped to custom fields with a sf_ prefix for cross-system audit.
Production import and media file pass
We run the production import into BambooHR in record-dependency order: Users (validated against BambooHR User provisioning), Jobs (against job opening cap), Applicants and Employees (with the status split applied), Applications (linked to Applicant and Job), Interview notes (linked to Application), Offer data (on Employee records), Notes and Comments (attributed to the correct record owner), and Screening answers (on Application). After the structured data migration completes, we execute the separate media file transfer for Sia interview recordings, mapping each file to the corresponding BambooHR Application record as a document attachment. Each import phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze writes to SupportFinity during the cutover window, run a final delta migration of any records modified during the migration window, then hand off to the customer to designate BambooHR as the system of record for recruiting and HR. We deliver the assessment inventory document, the automation inventory document, and the job opening cap resolution summary. We support a one-week hypercare window where we resolve reconciliation issues identified by the customer's HR team. We do not rebuild SupportFinity automations or AI assessment logic as part of the standard migration scope; these are documented for the customer's admin to rebuild using BambooHR's native tools or a third-party automation platform.
Platform deep dives
SupportFinity
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between SupportFinity and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across SupportFinity and BambooHR.
Object compatibility
All 7 core objects map 1:1 between SupportFinity 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
SupportFinity: Not publicly documented.
Data volume sensitivity
SupportFinity 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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