HRMS migration

Migrate from Employ to Crelate

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

Employ logo

Employ

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between Employ and Crelate.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Employ to Crelate is a transition from an AI-first, end-to-end HR automation platform to a CRM-native ATS built for staffing and recruiting agencies. Employ consolidates the full hiring lifecycle with embedded AI screening and I-9 compliance verification; Crelate combines ATS tracking with CRM relationship management across Contacts, Companies, and Opportunities. We preserve Employ's AI-generated interview scores as structured custom fields on Candidates rather than as a native object, since Crelate's Basic AI Assistant operates at the workflow level rather than generating standalone evaluation records. I-9 and E-Verify documents transfer as encrypted file attachments to preserve audit trail integrity without re-triggering verification workflows. Hiring pipeline stages require customer-specific discovery because both platforms allow configurable stage names per job, with no universal schema to map against. We do not migrate Hiring Process Automations, Workflows, or Job Board distribution settings; these are destination-platform configurations requiring manual rebuild.

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

Employ logo

Employ

What's pushing teams away

  • Employ Inc. is a holding company, not a single product — customers shopping for 'Employ' end up evaluating JazzHR (SMB), Lever (mid-market), Jobvite (enterprise), and NXTThing RPO separately, which slows procurement.
  • Lever pricing climbs from ~$6,000/year for small teams past $144,000/year for 1,000+ employee orgs, with no public rate card — large variance creates negotiation friction.
  • Jobvite pricing runs ~$7–$11 per-employee-per-month with annual costs ranging $4,800 to $60,000+ per Pin's analysis, again sales-led with no published rates.
  • Portfolio overlap (JazzHR + Lever + Jobvite cover much of the same TA scope at different price points) creates internal conflict for buyers evaluating across the Employ family.
  • Roadmap convergence between the brands is uneven — customers report being unsure which product gets feature priority post-consolidation.

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 Employ objects map to Crelate

Each row shows how a Employ 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.

Employ

Candidate

maps to

Crelate

Contact

1:1
Fully supported

Employ Candidates map directly to Crelate Contacts. The mapping uses the Candidate's primary email as the dedupe key. We extract and write AI interview scores to a custom Contact field (ai_interview_score__c) that we create in Crelate during schema preparation. Any other metadata on the Candidate record (source, current stage timestamp, rating) migrates as additional custom fields. FirstName, LastName, Email, Phone, and Address fields map by name.

Employ

Job

maps to

Crelate

Job

1:1
Fully supported

Employ Jobs map to Crelate Jobs. Both platforms use Job as a core entity with Name, Description, Department, Location, and Status. The Job Name is the required attribute in Crelate's API, matching Employ's title field. Status values (Open, Closed, Draft, On Hold) map to Crelate's job status picklist. Department and Location migrate as text fields unless Crelate's organization has configured lookup fields for these.

Employ

Application

maps to

Crelate

Activity (Note or Task)

1:many
Fully supported

Employ Applications link a Candidate to a Job and track pipeline stage. Crelate does not have a native Application object; instead, candidate-job associations and stage history migrate as Activity records (Notes or Tasks) attached to the Contact, with the Job referenced via the WhatId lookup. Stage timestamps and stage names migrate as custom fields on the Activity record. We flag any Application records with no matching Candidate or Job in Crelate during reconciliation before the load phase.

Employ

Hiring Pipeline and Stages

maps to

Crelate

Job Pipeline and Stages

lossy
Fully supported

Both Employ and Crelate allow customizable pipeline stages per Job, with no universal stage name schema. We extract the complete list of active stage names from Employ during discovery and map each to the corresponding Crelate Job's pipeline stage. Stages with no direct equivalent are flagged for manual assignment before migration to prevent Candidates from landing in a null stage. Any stage probability or order values migrate as configuration metadata.

Employ

AI Interview Scores

maps to

Crelate

Custom Field on Contact

lossy
Mapping required

Employ AI Recruiter scores are stored as metadata on the Candidate rather than as a standalone object. We extract these as structured numeric or text values and write them to a custom ai_interview_score__c field on the Crelate Contact. If multiple interview rounds exist, we create additional fields (ai_interview_score_round1__c, ai_interview_score_round2__c) or write a JSON object to a long-text custom field, depending on the scoring structure in Employ.

Employ

I-9 and E-Verify Records

maps to

Crelate

File Attachment on Contact or Employee

1:1
Mapping required

I-9 and E-Verify records are sensitive compliance documents associated with the hired Employee in Employ. We transfer these as encrypted file attachments linked to the corresponding Crelate Contact record. We do not re-trigger a verification workflow in Crelate because Crelate does not have native I-9/E-Verify automation. The customer's HR or compliance team must review the transferred documents and confirm acceptance; if Crelate requires manual re-entry, we document the fields requiring completion to avoid compliance gaps.

Employ

Employee (Post-Hire)

maps to

Crelate

Contact

1:1
Fully supported

Employ Employee records (post-hire with employment details, start date, department, manager, employment status) map to Crelate Contacts with additional custom fields for employment metadata. We create fields for start_date__c, department__c, manager_name__c, employment_status__c on the Contact record. Manager resolves to a Contact lookup if the manager exists as a Contact in Crelate; otherwise it stores as a text reference name.

Employ

User and Role

maps to

Crelate

User

1:1
Fully supported

Employ Users with roles (Recruiter, Hiring Manager, Admin) map to Crelate Users. We resolve by email match against the destination Crelate organization's User table. Any Employ User without a matching Crelate User goes to a reconciliation queue for the customer's admin to provision before record import resumes, since OwnerId references are required on most standard records. Role mappings (Recruiter to Crelate Recruiter role, Hiring Manager to Hiring Manager role) transfer as text in a custom role field until the admin assigns the correct Crelate role.

Employ

Custom Fields (Jobs, Candidates, Applications)

maps to

Crelate

Custom Fields

lossy
Mapping required

Employ supports custom fields on Jobs, Candidates, and Applications. We discover these during the scoping phase by querying the Employ data export for fields not in the standard schema. Each custom field maps to a Crelate custom field of the closest matching type (text, number, date, picklist, checkbox). Crelate's Advanced Custom Fields limit is 10 on the Business tier, 20+ on Business Plus and Enterprise; we verify the customer's Crelate tier supports the required custom field count before migration.

Employ

Job Board Distribution Settings

maps to

Crelate

N/A

1:1
Fully supported

Job postings distributed to third-party job boards in Employ are tracked as configuration settings rather than as data records. We do not migrate these configurations because they are destination-specific and Crelate has its own job distribution settings that the customer's admin rebuilds manually. We document the list of active distributions (Indeed, LinkedIn, Monster, etc.) in the migration inventory so the admin can reconfigure them post-migration.

Employ

Attachments (Applications)

maps to

Crelate

File Attachments on Contact

1:1
Fully supported

Attachments on Employ Applications (resumes, cover letters, portfolio files) transfer as file attachments linked to the corresponding Crelate Contact record. We preserve the original filename and file type, and map the attachment to the Contact record that resulted from the Candidate migration. Large file attachments (over 25 MB per Crelate's API limits) are flagged for the customer to upload manually via Crelate's interface.

Employ

Tag (if used on Candidate)

maps to

Crelate

Tag on Contact

1:1
Fully supported

If Employ uses Tags on Candidates for segmentation or sourcing attribution, these migrate to Crelate Tags on the Contact record. Crelate's API supports Tags with category keys; we map Employ tags to the Default category unless the customer's Crelate organization has configured named tag categories during setup.

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.

Employ logo

Employ gotchas

Medium

AI interview scores stored as metadata on Candidate, not as a native object

High

I-9 and E-Verify records require compliance-aware handling

Medium

Pipeline stages are customer-configured with no standard schema

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

  • AI interview scores require custom field extraction

    Employ AI Recruiter scores are stored as metadata on the Candidate record, not as a standalone exportable object. We identify candidates with AI scores during the data audit, extract the values, and write them into a named custom field (ai_interview_score__c) on the Crelate Contact. If Crelate's Advanced Custom Fields limit is reached on the customer's tier, we prioritize AI scores over other low-priority custom fields. The customer's admin should confirm that the custom field exists and is visible on the Contact layout before migration.

  • I-9 and E-Verify records need compliance re-entry plan

    Employ's native I-9 and E-Verify automation has no equivalent in Crelate. We transfer the documents as encrypted file attachments to the Contact record, preserving the audit trail, but Crelate does not trigger or track employment eligibility verification. The customer's HR team must confirm whether Crelate's workflows require manual re-entry of I-9 data or whether the transferred documents satisfy compliance requirements. Failure to plan for this results in a compliance gap post-migration.

  • Pipeline stages require customer-specific discovery

    Both Employ and Crelate allow customizable pipeline stages per job, and neither platform publishes a standard stage schema. We extract the full list of active stage names from Employ during discovery and map each to the corresponding Crelate Job's pipeline. Any stage with no direct equivalent is flagged for manual assignment before migration to prevent candidates from landing in a null stage. Skipping this discovery step results in broken candidate workflows at cutover.

  • Crelate's CRM lookups use compound field patterns

    Crelate's API represents lookups (such as a Contact on an Opportunity) as compound fields: AdditionalContact_Id, AdditionalContact_FirstName, and AdditionalContact_LastName. If the Id is specified, FirstName and LastName are ignored. If Id is blank and names are provided, Crelate creates a new Contact. Our migration scripts handle these compound field rules explicitly, writing the resolved Id to avoid accidental Contact duplication during the load phase.

  • Crelate requires Job Name as a non-null attribute

    The Crelate API returns HTTP 500 if a Job record is submitted without a Name. We validate that every Employ Job has a non-null title before mapping to Crelate Job Name. Jobs with missing titles are flagged in the reconciliation report for the customer to correct before migration. This is a low-severity issue that causes failures only for malformed source records.

Migration approach

Six steps for a successful Employ to Crelate data migration

  1. Discovery and data audit

    We audit the Employ data export across Jobs, Candidates, Applications, pipeline stages, AI interview scores, I-9/E-Verify records, custom fields, and user role assignments. We also identify the customer's Crelate tier and any existing schema (custom fields, tag categories, pipeline configurations) in the destination organization. The discovery output is a written migration scope with record counts, field mapping table, and a list of any Employ records with missing required attributes for Crelate.

  2. Schema preparation in Crelate

    We create any missing custom fields in Crelate to receive Employ data: ai_interview_score__c and supporting fields on Contact for AI scores; custom fields for employment metadata on Employee-to-Contact mappings; and any custom fields needed for application stage history. We verify that the customer's Crelate tier supports the required custom field count. We also confirm that the pipeline stages in Crelate's Job configuration match or can be extended to receive the Employ stage names.

  3. Candidate and Job migration

    We run Jobs first, since Applications reference them via lookup. Jobs map directly by title, status, department, and location. We then migrate Candidates to Contacts, resolving by email as the dedupe key and writing AI interview scores to the designated custom field. Any Candidates without email addresses are flagged for manual review or alternative identifier matching. User and role assignments resolve by email against Crelate Users, with unresolved owners held in a reconciliation queue.

  4. Application and stage history migration

    Applications migrate as Activity records (Notes or Tasks) attached to the Contact and referencing the Job via WhatId. Stage names and timestamps migrate as custom fields on each Activity record. We match each Application's pipeline stage to the Employ stage name extracted during discovery, and map it to the Crelate Job's pipeline stage. Any Applications with mismatched Job or Candidate references are held for reconciliation.

  5. I-9, E-Verify, and attachment transfer

    We transfer I-9 and E-Verify documents as encrypted file attachments linked to the Contact record for each hired Employee. We preserve original filenames and document metadata. Resume and application attachments migrate as file attachments to the corresponding Contact. All file attachments are validated against Crelate's size limits, with oversized files flagged for manual upload.

  6. Cutover, validation, and inventory delivery

    We freeze Employ writes during cutover and run a final delta migration of any records modified during the migration window. We deliver a reconciliation report comparing Employ record counts to Crelate loaded counts for each object type. We deliver the migration inventory document including a list of Job Board distributions requiring manual rebuild, a map of any unresolvable stage names, and the I-9 compliance re-entry checklist for the customer's HR team. We support a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

Employ logo

Employ

Source

Strengths

  • AI-powered candidate screening and video interview scoring embedded directly in the recruiting workflow
  • Native I-9 and E-Verify compliance automation eliminates third-party verification tools
  • End-to-end hiring automation from job posting through onboarding within a single platform
  • Intuitive task management interface that HR teams find easy to navigate
  • Automations reduce manual repetitive tasks and associated human error in high-volume hiring

Weaknesses

  • Research data did not surface published API documentation, rate limits, or authentication methods for programmatic data extraction
  • Pricing tiers and per-seat or per-transaction costs were not publicly documented in available sources
  • Custom fields and pipeline stage configurations vary by customer without a published schema
  • AI interview scores are not a standalone exportable object, requiring custom extraction logic
  • Job board distribution settings are not transferable across platforms
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 Employ 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

    Employ: Documented separately per brand; Lever ~10 requests/sec per token, Jobvite plan-tier dependent, JazzHR not extensively documented.

  • Data volume sensitivity

    A

    Employ exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Employ 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 Employ to Crelate data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between two and four weeks for accounts under 10,000 Candidates and 500 Jobs with no custom objects and straightforward pipeline stages. Migrations with large candidate volumes (over 50,000 records), multiple active pipelines with custom stages, AI interview score extraction across hundreds of candidates, I-9 document handling, or extensive custom fields move to five to eight weeks because of the discovery work, compliance document preparation, and parent-record lookup resolution in Crelate's CRM object model.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Employ.
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