HRMS migration
Field-level mapping, validation, and rollback between Avature and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Avature
Source
Recruit CRM & ATS
Destination
Compatibility
6 of 10
objects map 1:1 between Avature and Recruit CRM & ATS.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Avature to Recruit CRM is a platform-downscaling migration from an enterprise ATS-CRM hybrid built for large multinationals to a cloud-native ATS plus CRM designed for small and mid-sized recruitment agencies. Avature stores both candidates and employees under a single Person object with configurable Datasets and multi-step Workflows; Recruit CRM separates Candidates, Clients, and Jobs with built-in AI resume parsing and automated candidate matching. We resolve the Person dual-use schema (candidates versus employees without hiring activity), enumerate every active Avature custom field and record table column before mapping, and preserve the full engagement timeline. Workflow definitions, job templates, and hiring manager portal configurations do not migrate as functional code; we deliver a written inventory of every automation requiring rebuild in Recruit CRM's workflow builder.
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 Avature 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.
Avature
Person (candidate)
Recruit CRM & ATS
Candidate
1:1Avature Person records with candidate activity (applications, job associations, engagement history) map to Recruit CRM Candidate records. We enumerate all active custom fields on the Avature Person object before migration and map them to Recruit CRM custom fields, preserving the original field values. Person records without any candidate activity (pure employee records) require classification during discovery: we either migrate them as Candidates with an inactive status or flag them for the customer's admin to handle separately, since Recruit CRM is a recruitment ATS-CRM without a dedicated employee module.
Avature
Person (employee)
Recruit CRM & ATS
Candidate or Note
1:manyAvature Person records that represent employees rather than candidates (no job applications, no engagement as a candidate) do not have a direct Recruit CRM equivalent because Recruit CRM does not have an employee module. We classify these records during migration scoping and migrate them as inactive Candidates with a custom field original_avature_type__c set to 'employee', preserving name, contact information, and any record table data as candidate notes or custom fields.
Avature
Company
Recruit CRM & ATS
Client
1:1Avature Company records map directly to Recruit CRM Client records. Company name, industry, address, and custom fields migrate as Client fields. The Avature Person-to-Company linkage is preserved as the Candidate's assigned Client lookup in Recruit CRM. We resolve the Client record first so that the Candidate import satisfies the lookup dependency at insert time.
Avature
Job requisition
Recruit CRM & ATS
Job
1:1Avature Job records map to Recruit CRM Job records with status, department, location, and job description preserved. We map the Avature job status (Open, On Hold, Closed) to Recruit CRM's equivalent status values. The job-to-person associations (which Candidates have applied to which Jobs) migrate as Candidate Job Applications linking the two records.
Avature
Pipeline stage
Recruit CRM & ATS
Candidate pipeline stage
lossyAvature's customizable pipeline stages within Job workflows vary by implementation. We enumerate every distinct stage name, order, and associated Job template during discovery, then configure Recruit CRM's candidate pipeline stages to match. Stage names are preserved as a custom field avature_original_stage__c on the Candidate record for audit. Any automation triggers attached to Avature stages do not migrate and are documented separately.
Avature
Record table (employment history, education)
Recruit CRM & ATS
Candidate custom fields or notes
1:manyAvature record tables attached to Person records (multi-row employment history, education, certifications) require flattening into normalized child records. We extract each record table as a separate extract, then map row data to Recruit CRM Candidate custom fields where field count allows, or to candidate notes formatted with section headers where custom field limits are exceeded. The parent-person-to-candidate lookup is resolved at migration time.
Avature
Engagement (email, call, meeting, note)
Recruit CRM & ATS
Activity log entries
1:1Avature hiring manager portal activities—interview feedback, ratings, notes submitted by hiring managers—map to Recruit CRM candidate activity log entries. We extract these as comment entries associated with the Candidate record with a timestamp preserved from the original Avature activity. Call, email, and meeting engagements from Avature's CRM layer map to the corresponding Recruit CRM activity types. The activity ordering is preserved by setting the timestamp to the original Avature creation date.
Avature
Dataset
Recruit CRM & ATS
Lookup list or custom dropdown
lossyAvature Datasets store bulk reference data used by workflows and forms (industry lists, skill taxonomies, location hierarchies). Dataset structures vary by implementation. We extract dataset records during discovery, map them to Recruit CRM lookup lists or custom dropdown fields on the relevant object, and document any Dataset that has no direct Recruit CRM equivalent for the customer's admin to configure post-migration.
Avature
User account
Recruit CRM & ATS
User
1:1Avature user accounts (recruiters, hiring managers, admins) map to Recruit CRM User records. We resolve users by email address match. Any Avature user without a matching Recruit CRM account goes to a reconciliation queue for the customer's admin to provision before Candidate import begins, because OwnerId lookups on Candidate and Job records require valid User references.
Avature
Candidate tag and talent pool
Recruit CRM & ATS
Candidate label
1:1Avature candidate tags and talent pool memberships map to Recruit CRM candidate labels or tags. Tags stored as multi-select properties flatten to comma-separated label strings in Recruit CRM. Talent pool membership does not have a direct equivalent in Recruit CRM; we map pool membership to a custom Candidate field avature_talent_pool__c or to a candidate list membership depending on the customer's preference during scoping.
| Avature | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Person (candidate) | Candidate1:1 | Fully supported | |
| Person (employee) | Candidate or Note1:many | Fully supported | |
| Company | Client1:1 | Fully supported | |
| Job requisition | Job1:1 | Fully supported | |
| Pipeline stage | Candidate pipeline stagelossy | Fully supported | |
| Record table (employment history, education) | Candidate custom fields or notes1:many | Fully supported | |
| Engagement (email, call, meeting, note) | Activity log entries1:1 | Fully supported | |
| Dataset | Lookup list or custom dropdownlossy | Fully supported | |
| User account | User1:1 | Fully supported | |
| Candidate tag and talent pool | Candidate label1:1 | Fully supported |
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.
Avature gotchas
No self-service full data export exists
Custom field enumeration requires manual discovery
Implementation wait times block rapid migrations
Enterprise pricing is opaque and requires contract negotiation
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 contract termination review
We audit the source Avature instance across all active object types: Person records, Company records, Job requisitions, Datasets, record tables, and engagement history. We enumerate every custom field and record table column using Avature's field enumeration pass and classify Person records by candidate activity level to identify pure employee records requiring separate handling. We review the Avature contract termination timeline and negotiate data extraction commitments with Avature's customer success team before any migration work begins, since Avature has no published deprovisioning SLA.
Schema design and field mapping
We design the destination Recruit CRM schema based on the enumeration output. This includes configuring custom fields on Candidate, Client, and Job objects to receive Avature custom field values, setting up candidate pipeline stages to match Avature's stage names and order, and defining lookup lists for extracted Dataset records. We resolve the Person dual-use classification rule (candidates versus inactive/archived records) and document it in the mapping specification. All field mappings are reviewed by the customer's admin before migration begins.
Sandbox migration and reconciliation
We run a full migration into Recruit CRM's test environment using production data volume. The customer's recruitment lead reconciles record counts (Candidates in, Clients in, Jobs in, Activities in), spot-checks 25-50 random records against the Avature source, and validates that Person dual-use classification was applied correctly. Any mapping corrections, field type mismatches, or custom field omissions are addressed here before production migration begins. This step typically takes one to two weeks depending on data volume.
Owner reconciliation and User provisioning
We extract every distinct Avature user referenced on Person, Job, and engagement records and match by email address against the Recruit CRM destination User table. Any Avature user without a matching Recruit CRM account enters a reconciliation queue. The customer's Recruit CRM admin provisions the missing Users (active or inactive depending on whether the original user is still active) before Candidate import begins, because OwnerId lookups are required for record assignment in Recruit CRM.
Production migration in dependency order
We run production migration in record-dependency order: Client records (from Avature Companies) are created first, followed by Job records (with status and pipeline stage configuration), then Candidate records (with Client lookup and Owner assignment resolved, and Person dual-use classification applied), then Dataset-derived lookup lists, then engagement history (calls, emails, meetings, notes as activity log entries). Record tables are flattened and inserted as candidate custom fields or formatted notes. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and Workflow rebuild handoff
We freeze Avature write access during cutover, run a final delta migration of any records modified during the migration window, then designate Recruit CRM as the system of record. We deliver the Workflow and Job Template inventory document to the customer's admin team with rebuild recommendations. We support a one-week hypercare window where we resolve any reconciliation issues raised by the recruiting team. We do not rebuild Avature Workflows as Recruit CRM automations inside the migration scope; that is a separate engagement.
Platform deep dives
Avature
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 Avature 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
Avature: Not publicly documented; enterprise contracts define limits per organization.
Data volume sensitivity
Avature exposes a bulk API — large-volume migrations stream efficiently.
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.
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