HRMS migration

Migrate from SupportFinity to Crelate

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

SupportFinity logo

SupportFinity

Source

Crelate

Destination

Crelate logo

Compatibility

73%

11 of 15

objects map 1:1 between SupportFinity and Crelate.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from SupportFinity to Crelate is a migration between two different recruitment platform architectures. SupportFinity organizes hiring around an AI-native pipeline with a credits economy ($0.195/credit) that governs AI features like Atom assessments, Sia interview recording, and candidate ranking; Crelate uses a traditional ATS/CRM object model with per-user pricing ($119/user/month on Business, 5-seat minimum) and relies on a field-mapping system for custom forms rather than a built-in AI agent stack. We extract structured data from SupportFinity in dependency order—Jobs first, then Candidates, then Applications with timestamps and source attribution—and load into Crelate's Contact, Company, and Opportunity records with custom fields carrying SupportFinity's assessment scores and screening answers. Sia interview recordings require a separate file-extraction pass because they are binary attachments not available via standard API export. Credits Usage Log, AI Talent Signals, and any Revo-generated content migrate as read-only informational fields in Crelate; the credits ledger itself has no Crelate equivalent. Workflows, atom-agent rubrics, and Genie-generated content packages do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Crelate's form and automation layer.

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

SupportFinity logo

SupportFinity

What's pushing teams away

  • The credits system ($0.195/credit) becomes unpredictable at scale—high-volume hiring shops report bill shock when AI features consume credits faster than expected.
  • Smaller or non-technical hiring teams find the AI-first interface overwhelming compared to simpler ATS tools that offer basic applicant tracking without agent automation.
  • Lack of transparent public API documentation makes integration with existing HRIS or payroll systems a custom development effort rather than an out-of-box feature.
  • The platform markets primarily to enterprises and agencies; solo or very small team recruiters feel underserved by the feature set relative to simpler alternatives.

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 SupportFinity objects map to Crelate

Each row shows how a SupportFinity 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.

SupportFinity

Job (Position)

maps to

Crelate

Job / Position Record

1:1
Fully supported

SupportFinity Job records map to Crelate Job records with title, description, department, location, and status preserved. The unlimited job postings on SupportFinity Growth map to Crelate's no-per-job-limit structure on all paid tiers. Job status (Open, Closed, Draft, On Hold) maps to Crelate's Job status field. Job-specific screening questions from SupportFinity migrate to Crelate Activity Forms or Application Forms scoped to the Job.

SupportFinity

Candidate

maps to

Crelate

Contact

1:1
Fully supported

SupportFinity Candidate profiles map to Crelate Contact records. We preserve name, email, phone, resume/CV, work history, education, and custom profile fields as typed Crelate custom fields. The 2.4 billion-profile talent cloud enrichment is read-only enrichment on SupportFinity and does not generate a transferable data asset; candidate records created from talent cloud matches export as standard Contact records with source attribution preserved in a custom field.

SupportFinity

Application

maps to

Crelate

Opportunity

1:1
Fully supported

SupportFinity Application records (linking Candidate to Job with timestamps, source channel, and pipeline stage) map to Crelate Opportunity records. The Opportunity's Job reference is preserved via a custom lookup field. Application status (Applied, Screening, Interview, Offer, Hired, Rejected, Withdrawn) maps to Crelate Opportunity Stage with a configuration pass to align stage names and counts to the destination's pipeline structure.

SupportFinity

DISC+ Assessment

maps to

Crelate

Custom Fields on Contact + Activity Form

lossy
Fully supported

SupportFinity DISC+ assessment scores (Dominance, Influence, Steadiness, Conscientiousness subscores) migrate as custom numeric fields on the Crelate Contact record. We map each subscale to a dedicated Crelate custom field. For multi-question DISC+ responses, we use a Crelate Activity Form with Field Mappings to capture detailed response data against the Contact.

SupportFinity

Atom AI Assessment

maps to

Crelate

Custom Fields on Contact + Activity Form

lossy
Fully supported

Atom-generated custom assessment rubrics and scores are proprietary metadata in SupportFinity. We export raw scores and signal labels as custom numeric and text fields on Crelate Contact. The rubric definition structure (question weights, evaluation criteria) is domain-specific and does not map directly to Crelate's form builder; we document the rubric as a written specification for the customer to rebuild as a Crelate Activity Form post-migration.

SupportFinity

Interview (scheduled)

maps to

Crelate

Activity Record on Contact/Opportunity

1:1
Fully supported

SupportFinity Interview records (scheduled time, interviewer assignment, notes) map to Crelate Activity records linked to the Contact and the related Opportunity. Interviewer assignments resolve by email against Crelate User records. Interview stage (Phone Screen, Technical, Panel, Final) migrates as a custom picklist field on the Activity record.

SupportFinity

Sia Interview Recording

maps to

Crelate

External File Storage + Activity Link

1:1
Fully supported

Sia interview recordings are binary attachments in SupportFinity and do not export via standard API. We perform a separate file extraction pass using authenticated session access to download each recording by filename and interview record ID. Recordings are stored in a customer-provided cloud storage location and linked back to the corresponding Crelate Activity record via a custom URL field. The customer manually links recordings in Crelate or uses a file-storage integration. This pass runs after primary structured-data migration completes.

SupportFinity

Pipeline Stage

maps to

Crelate

Opportunity Stage + Record Type

lossy
Fully supported

SupportFinity's configurable pipeline stages (Screening, Interview, Offer, Hired, Rejected, etc.) are tenant-specific. We map SupportFinity stage IDs and labels to Crelate Opportunity Stage values, creating a Crelate Pipeline Record Type that scopes the relevant stages to the migrated Jobs. Stage sequence order and probability percentages are preserved in the stage configuration.

SupportFinity

User (Team Member)

maps to

Crelate

User

1:1
Fully supported

SupportFinity User accounts (Recruiter, Hiring Manager, Admin roles) map to Crelate User records. We resolve by email match. SupportFinity Growth's 3-seat cap means migration scoping must identify all active and inactive users to ensure the Crelate Business plan's 5-seat minimum covers the full team post-migration. Any SupportFinity user without a Crelate account goes to a reconciliation queue for provisioning before record import.

SupportFinity

Note / Comment

maps to

Crelate

Activity Note on Contact/Opportunity

1:1
Fully supported

Free-text notes attached to Candidates or Applications in SupportFinity migrate as Crelate Activity Notes linked to the corresponding Contact and Opportunity. Timestamps and author attribution (via email-to-User resolution) are preserved. Long-form notes with formatting map to Crelate's rich-text note format where supported.

SupportFinity

Communication (Email/SMS)

maps to

Crelate

Activity Records on Contact

1:1
Fully supported

Candidate email and SMS conversations via SupportFinity's unlimited mailboxes map to Crelate Activity records (email or call type) on the Contact. Thread structure is preserved as a chronological series of Activity records. Attachment handling requires a separate pass for binary files linked to conversation threads.

SupportFinity

Screening Question

maps to

Crelate

Application Form Fields

lossy
Fully supported

SupportFinity job-specific screening questions and candidate answers are custom fields at the application level. We map question text and answer values to Crelate Application Form fields scoped to the Job. Skip logic and conditional branching in SupportFinity's screening flows do not migrate as automation; we document the conditional logic as a written specification for the customer to rebuild as a Crelate Activity Form with conditional visibility.

SupportFinity

Talent Signal

maps to

Crelate

Custom Fields on Contact

1:1
Fully supported

AI-generated talent signals and ranking scores are proprietary SupportFinity metadata. We export raw scores and signal labels as custom numeric and text fields on the Crelate Contact record. These serve as informational fields in Crelate; the signal generation algorithm does not transfer.

SupportFinity

Offer

maps to

Crelate

Opportunity Fields + Custom Fields

1:1
Fully supported

SupportFinity Offer records (salary, start date, status) map to Crelate Opportunity records with custom fields for offer amount, start date, offer status (Pending, Accepted, Declined, Countered), and any offer notes. Status mapping aligns to Crelate Opportunity stage transitions.

SupportFinity

Credits Usage Log

maps to

Crelate

Not Migrated (Reference Only)

1:1
Mapping required

The SupportFinity credits ledger (purchased, consumed, balance) is specific to the credits billing model and has no Crelate equivalent. We export consumption records as a CSV reference file for the customer's financial records but do not load into Crelate as operational data. Customers should review their SupportFinity credits balance before initiating bulk export to avoid mid-migration bill shock if AI features are still active on the source account.

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.

SupportFinity logo

SupportFinity gotchas

High

Credits consumption rate is non-linear for AI features

Medium

Interview recordings stored as binary attachments require separate export handling

Low

Growth plan 3-seat limit applies to team members, not candidates

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

  • Sia interview recordings require separate file extraction

    Sia interview recordings are stored as binary attachments in SupportFinity and are not accessible via a standard API export endpoint. They require an authenticated session or direct attachment URL access to download. We schedule a dedicated file-extraction pass after primary structured data migration completes, preserving filenames and the interview-to-record linkage in a separate mapping file. The customer must provide a destination cloud storage location (S3, Azure Blob, Google Cloud Storage) for the extracted files. Relinking recordings to Crelate Activity records requires a custom URL field on each Activity, and the customer manually validates the linkage post-migration.

  • SupportFinity has no publicly documented API for automated export

    SupportFinity does not publish a public API. Data extraction relies on authenticated session access, admin panel exports, or customer-initiated data requests. We coordinate with the customer to obtain complete data exports from the SupportFinity admin interface, validate export completeness against record counts, and process exports into migration-ready CSV and JSON formats. This step can add three to five business days to discovery compared to API-accessible platforms. Customers should schedule data export requests during off-peak hours to avoid platform rate-limiting.

  • Atom assessment rubric definitions do not transfer as code

    SupportFinity's Atom agent generates domain-specific assessment rubrics (healthcare compliance, cybersecurity, data roles) with custom question weights and evaluation criteria. These rubric definitions are proprietary metadata structures in SupportFinity. We export the resulting assessment scores and candidate responses as custom fields on Crelate Contact records, but the rubric definition itself does not map to Crelate's form builder. We deliver a written specification document describing each rubric's structure, question text, and scoring logic so the customer's Crelate admin can rebuild them as Activity Forms with Field Mappings post-migration.

  • Crelate's 5-seat minimum applies regardless of SupportFinity team size

    SupportFinity Growth caps at 3 seats, and some customers migrated with a team of one or two active users. Crelate Business requires a minimum of 5 seats. We verify the full set of SupportFinity users (active and inactive) during discovery and reconcile against the Crelate Business minimum. If the migrating team has fewer than 5 users, the customer must purchase at least 5 Crelate seats to activate the Business plan. This creates a minimum cost floor that smaller SupportFinity teams may not have anticipated.

  • SupportFinity Growth plan 3-seat cap may have hidden user records

    SupportFinity Growth's 3-seat limit caps the number of users who can actively access the platform, but candidate records are unlimited. During migration scoping, we discover all SupportFinity user accounts including deactivated or shadow users created for data attribution. Some teams create additional SupportFinity user accounts for hiring managers who need access but were never provisioned as full platform seats. We extract all user records to ensure complete owner attribution and flag any seat-license implications for the Crelate migration plan.

Migration approach

Six steps for a successful SupportFinity to Crelate data migration

  1. Discovery and data export coordination

    We audit the SupportFinity portal across plan tier (Growth or Enterprise), active user count, job count, candidate volume, application volume, interview count, assessment type usage (DISC+, Atom, custom), and Sia recording count. We coordinate with the customer to extract complete data from the SupportFinity admin interface (Jobs export, Candidates export, Applications export, User list, Interview records, Assessment results). We validate export completeness against record counts and flag any gaps before transformation begins. SupportFinity's lack of a public API means this step requires more manual coordination than API-accessible platforms and typically adds three to five business days to the discovery phase.

  2. Crelate tenant setup and field mapping design

    We configure the Crelate destination tenant: creating custom fields on Contact (assessment scores, screening responses, talent signal scores, source attribution), Company (if mapping SupportFinity company data separately), and Opportunity (offer details, application stage, job reference). We design the Pipeline Record Type in Crelate to align with SupportFinity's pipeline stages and configure Opportunity Stages with sequence order and probabilities matching the source. We create Activity Forms scoped to Jobs for screening questions and configure Field Mappings to carry form responses to Contact fields. Crelate's field-mapping system is documented via the Help Center; we use Crelate's documented API patterns for bulk field creation where available.

  3. Interview recording extraction pass

    We perform a dedicated file-extraction pass for Sia interview recordings after the primary structured-data migration completes. Using authenticated session access, we download each recording by filename and associated interview record ID, preserving the SupportFinity interview-to-candidate linkage in a separate mapping file. We upload recordings to a customer-provided cloud storage bucket and create a custom URL field on each corresponding Crelate Activity record. The customer validates the recording-to-activity linkage manually or through a custom integration. This pass runs in parallel with the final data-validation phase to avoid extending the critical path unnecessarily.

  4. Sandbox migration and reconciliation

    We run a full migration into a Crelate sandbox or staging environment using production-like data volume. The customer's recruiting operations lead reconciles record counts (Contacts in, Jobs in, Opportunities in, Activities in), spot-checks 25-50 random records against the SupportFinity source data, and validates field mapping accuracy for assessment scores and screening answers. Any mapping corrections—including stage name alignment, field type mismatches, and custom field creation—happen here before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Crelate Users (validated against SupportFinity user list), Contact records (with assessment scores and talent signals as custom fields), Job records, Opportunity records (linked to Contacts and Jobs with stage and offer data), Activity records (interviews, notes, communications), and Application Form responses via Field Mappings. Interview recordings are linked to Activity records after the primary data load. Each phase emits a row-count reconciliation report before the next phase begins. We use batch chunking for large candidate imports to avoid Crelate API rate limits.

  6. Cutover, validation, and rebuild handoff

    We freeze SupportFinity write access during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the automation and rubric inventory document: for each SupportFinity workflow or Genie content package, we describe the trigger, conditions, and recommended Crelate equivalent. For each Atom assessment rubric, we provide a written specification for rebuilding as a Crelate Activity Form. We support a one-week hypercare window for reconciliation issues raised by the recruiting team. We do not rebuild SupportFinity workflows, sequences, or Atom rubrics inside the migration scope; that is a separate engagement or internal admin task.

Platform deep dives

Context on both ends of the pair

SupportFinity logo

SupportFinity

Source

Strengths

  • Flat-rate pricing on Growth ($259/month) with unlimited jobs and applicants eliminates per-hire cost surprises.
  • AI agent stack (Genie, Revo, Atom, Sia) automates content, sourcing, assessment, and interview recording in one platform.
  • Access to 2.4 billion profile database for passive candidate sourcing without separate subscription.
  • DISC+ and custom AI assessments allow domain-specific evaluation without hiring external testing vendors.
  • Free data migration is advertised on Enterprise tier, indicating the platform has at least some data export infrastructure.

Weaknesses

  • Credits-based pricing for AI features creates unpredictable cost for high-volume hiring teams.
  • No publicly documented API makes programmatic migration a custom integration effort rather than an out-of-box export.
  • Limited G2 review volume (20 reviews) makes independent quality verification difficult.
  • Competition with Workday, SAP, and Oracle positions SupportFinity as enterprise-grade but with a smaller customer base for reference.
  • The AI-first UX may create friction for teams wanting simple, manual-only applicant tracking workflows.
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 SupportFinity 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

    SupportFinity: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your SupportFinity 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 SupportFinity to Crelate data migrations

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

Can't find your answer?

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Straightforward migrations under 10,000 Candidates, 500 Jobs, and no Sia interview recordings complete in four to six weeks. Migrations with interview recording extraction, multiple Atom assessment rubrics, or complex custom field structures extend to eight to twelve weeks. SupportFinity's lack of a public API adds three to five business days to discovery and export coordination compared to API-accessible platforms. The customer must also rebuild SupportFinity workflows, Atom rubrics, and screening skip-logic in Crelate post-migration, which is outside standard migration scope.

Adjacent paths

Related migrations to explore

Ready when you are

Move from SupportFinity.
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