HRMS migration
Field-level mapping, validation, and rollback between SupportFinity and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
SupportFinity
Source
Recruit CRM & ATS
Destination
Compatibility
8 of 12
objects map 1:1 between SupportFinity and Recruit CRM & ATS.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from SupportFinity to Recruit CRM addresses the credits-based cost model that grows unpredictably at hiring scale. Recruit CRM charges per seat ($95-$135/user/month) with no AI credits economy, and its ATS + CRM design for recruitment agencies covers Jobs, Candidates, Applications, and pipeline stages. SupportFinity has no publicly documented API, which is the primary constraint on migration—FlitStack AI coordinates an authenticated-data extraction pass using SupportFinity's own export tooling, supplemented by direct database or session-based retrieval where supported. We preserve AI-generated talent signals and scores from the Atom agent as custom fields in Recruit CRM, and we handle Sia interview recordings (video/audio binary attachments) as a separate media-transfer pass after structured data is committed. Pipeline stages, screening questions, and offer records migrate as custom fields and stage configurations. We do not migrate automations, workflows, or the credits ledger.
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 Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
SupportFinity
Job (Position)
Recruit CRM & ATS
Job
1:1SupportFinity Jobs (title, description, department, location, status) map directly to Recruit CRM Job records. Stage pipeline configuration on the SupportFinity job maps to Recruit CRM's pipeline stage definitions. We preserve the job's open/closed status and original posting date. Growth plan's unlimited jobs means no volume cap on migration.
SupportFinity
Candidate
Recruit CRM & ATS
Candidate
1:1Candidate profiles map 1:1: name, email, phone, resume/CV, work history, education, and custom profile fields transfer directly. The SupportFinity global talent cloud enrichment (2.4B profiles) is read-only enrichment data that does not migrate as it is a SupportFinity-hosted asset, not tenant-owned data.
SupportFinity
Application
Recruit CRM & ATS
Application
1:1Application records linking a Candidate to a Job map to Recruit CRM Application records with timestamps, source channel, and current pipeline stage. Full application history including withdrawn or rejected states migrates. Stage status maps to the Recruit CRM pipeline stage ID, which we configure to match SupportFinity's stage names.
SupportFinity
User (Team Member)
Recruit CRM & ATS
User
1:1SupportFinity user accounts (email, name, role) map to Recruit CRM user records. We resolve by email match. The SupportFinity Growth plan 3-seat cap means candidate data is never constrained by seat limits, but user access may have been restricted—the migration preserves all user records for admin review in Recruit CRM.
SupportFinity
Assessment (DISC+ and Atom)
Recruit CRM & ATS
Custom Fields
lossyDISC+ scores and custom AI-generated rubric results from the Atom agent transfer as custom numeric and text fields on the Candidate record. Rubric definitions themselves (question text, weightings, conditional logic) are SupportFinity-specific and do not map to Recruit CRM's assessment model; we deliver a written inventory of active assessments for the customer's admin to rebuild as Recruit CRM templates.
SupportFinity
Interview
Recruit CRM & ATS
Interview (Candidate Activity)
1:1Interview records with scheduled time, interviewer assignment, and notes map to Recruit CRM Interview records or candidate activity entries. Sia interview recordings (video/audio binary files) require a separate file-transfer pass after structured data migration; we preserve filenames, interview linkage metadata, and timestamps during this pass.
SupportFinity
Offer
Recruit CRM & ATS
Offer
1:1Offer records (salary, start date, status) map to Recruit CRM offer or employment terms fields. We preserve salary details, offer status, and start date. Offer approval workflows are not migratable and are documented for admin rebuild.
SupportFinity
Notes and Comments
Recruit CRM & ATS
Notes
1:1Free-text notes attached to Candidates or Applications migrate as Note records linked to the candidate in Recruit CRM. Timestamps and author attribution (via user email resolution) are preserved. Notes created by different team members maintain their original author through the user mapping.
SupportFinity
Pipeline Stage
Recruit CRM & ATS
Pipeline Stage
lossySupportFinity tenant-specific pipeline stage IDs and labels map to Recruit CRM pipeline stages. We create matching stage names and order in Recruit CRM before Applications are imported so that stage assignments resolve at insert time. Skip logic and conditional branching in stage progression is documented separately for manual rebuild.
SupportFinity
Talent Signals
Recruit CRM & ATS
Custom Fields
lossyAI-generated talent signals and ranking scores (proprietary Atom/Genie output) migrate as custom numeric fields on the Candidate record in Recruit CRM. These are informational labels in the destination; Recruit CRM's AI matching does not interpret them, but the raw scores preserve the historical ranking data for reporting and manual reference.
SupportFinity
Screening Questions
Recruit CRM & ATS
Custom Fields
lossyJob-specific screening questions and candidate answers migrate as custom fields at the application level. Question text and answer values map as text fields; conditional skip logic requires manual rebuild in Recruit CRM's form builder. We document all active screening question sets for the customer's admin.
SupportFinity
Credits Usage Log
Recruit CRM & ATS
Not Migrated
1:1The SupportFinity credits ledger (purchased credits, consumed credits, balance) has no equivalent in Recruit CRM's data model and is SupportFinity-specific billing metadata. We export it as a reference CSV for the customer's financial records but do not create a destination record. No destination platform replicates this object.
| SupportFinity | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Job (Position) | Job1:1 | Fully supported | |
| Candidate | Candidate1:1 | Fully supported | |
| Application | Application1:1 | Fully supported | |
| User (Team Member) | User1:1 | Fully supported | |
| Assessment (DISC+ and Atom) | Custom Fieldslossy | Mapping required | |
| Interview | Interview (Candidate Activity)1:1 | Fully supported | |
| Offer | Offer1:1 | Fully supported | |
| Notes and Comments | Notes1:1 | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Talent Signals | Custom Fieldslossy | Mapping required | |
| Screening Questions | Custom Fieldslossy | Mapping required | |
| Credits Usage Log | Not Migrated1:1 | 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
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Discovery and extraction method scoping
We audit the SupportFinity account for record volume (Jobs, Candidates, Applications, Interviews, Assessments), active user count, and custom field usage. Because SupportFinity lacks a documented API, we determine the extraction method during this phase: customer-initiated export via SupportFinity's own backup or CSV tooling, or FlitStack AI-coordinated authenticated session retrieval. We document the exact fields available per object and flag any objects (such as Sia recordings or the credits ledger) that require separate handling. We also identify the pipeline stage configuration and assessment templates used for the rebuild inventory.
Recruit CRM schema preparation
We configure the destination Recruit CRM workspace before any data arrives. This includes creating custom fields to receive Atom-generated talent signals, DISC+ scores, and screening question answers. We create pipeline stage definitions matching the SupportFinity stage names and order, and we configure offer fields. Recruit CRM's custom field builder handles the schema work, which we validate with a test candidate insert before committing the full migration.
Data extraction and staging
We extract data from SupportFinity using the scoped method (UI export, authenticated export, or session-based retrieval) and load into a staging environment. We then audit data quality: identifying duplicate records, incomplete fields, inconsistent formats, and records without required lookups (candidates without a linked job, applications without a candidate). We deliver a data quality report to the customer with recommendations for deduplication and cleanup before transformation begins.
Transformation and field mapping
We transform SupportFinity records into Recruit CRM format: mapping candidate fields to Recruit CRM's standard and custom fields, resolving pipeline stage IDs to Recruit CRM stage names, computing the interview linkage for Sia recording attachment, and flagging assessment score values as custom fields. User records resolve by email match against the Recruit CRM user table. Any SupportFinity owner without a matching Recruit CRM user goes to a reconciliation queue for the customer's admin to provision before record import resumes.
Structured data migration in dependency order
We run the migration in record-dependency order: Users first (validated against Recruit CRM's user table), then Jobs (the hiring container), then Candidates (as the core record), then Applications (linked to Candidates and Jobs), then Interviews (with stage and user lookups resolved), then Notes, then Offer records. Sia interview recordings (video/audio) run as a separate post-data-pass file transfer, with filenames and interview linkage metadata preserved as attachment records. Each phase emits a row-count reconciliation report before the next begins.
Cutover, validation, and automation rebuild handoff
We freeze SupportFinity writes during the cutover window, run a final delta migration of any records modified during the migration, then enable Recruit CRM as the system of record. We deliver a written inventory of active pipeline stage skip-logic rules, assessment templates, and any offer approval workflows that require rebuild in Recruit CRM. We support a one-week post-cutover window where we resolve any reconciliation issues raised by the customer's team. Workflows, automations, and the SupportFinity credits ledger do not migrate.
Platform deep dives
SupportFinity
Source
Strengths
Weaknesses
Recruit CRM & ATS
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across SupportFinity and Recruit CRM & ATS.
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
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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