HRMS migration
Field-level mapping, validation, and rollback between greytHR and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
greytHR
Source
Crelate
Destination
Compatibility
10 of 12
objects map 1:1 between greytHR and Crelate.
Complexity
BStandard
Timeline
2-3 weeks
Overview
greytHR and Crelate serve different stages of the employment lifecycle. greytHR is a full HRMS and payroll platform built for Indian SMEs, covering the employee lifecycle from offer letter through statutory-compliant payroll runs, leave management, attendance tracking, and government filings. Crelate is a recruiting ATS and CRM designed for staffing agencies and in-house recruiting teams to manage candidates, job orders, placements, and client relationships through a drag-and-drop pipeline. The two platforms have minimal structural overlap. We do not migrate payroll runs, statutory compliance data (UAN, PF, ESI, TDS), or leave balances because Crelate has no equivalent payroll or HR administration module. We can extract employee contact information, emergency contact details, and skill/qualification data from greytHR and load those as candidate records in Crelate for re-hire pipelines or alumni sourcing. We flag every non-transferable greytHR object in the scoping report and deliver a written inventory of statutory documents and payroll records for manual filing continuity at cutover.
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 greytHR 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.
greytHR
Employee
Crelate
Person (Candidate)
1:manygreytHR Employee records contain demographic data (name, date of birth, gender, mobile, email, address) and employment data (department, designation, grade, joining date, employment status) that maps to Crelate Person records. We extract contact fields, emergency contact details, education and skill fields from greytHR, and load them as Crelate Person records. Active employees in greytHR map to Crelate Persons with a status tag (current-employee or re-hire-candidate). Former employees map to Persons tagged as alumni for re-hire pipelines. The greytHR statutory fields (UAN, PF, ESI, PAN, Aadhaar) do not migrate because Crelate has no equivalent statutory compliance module; we document these as a separate statutory handoff package.
greytHR
Employee: Department and Designation
Crelate
Person: Tags and Custom Fields
lossygreytHR department, designation, and grade fields store the employee's current organizational position. We extract these values and map them to Crelate custom Person fields (department__c, designation__c, grade__c) or as tags on the Person record. The customer chooses field versus tag strategy during scoping based on how they plan to filter and report on candidate origin in Crelate.
greytHR
Employee: Skills and Qualifications
Crelate
Person: Skills and Tags
1:1greytHR stores skills, certifications, educational qualifications, and prior experience on the Employee record. We extract these as comma-separated or multi-value fields and load them into Crelate Person skills fields and tags. Skill normalization may be required if greytHR uses free-text skill entries rather than a controlled vocabulary; we flag inconsistent skill formats during scoping.
greytHR
Employee: Emergency Contact
Crelate
Person: Custom Fields
1:1greytHR emergency contact fields (name, relationship, mobile number) store as structured fields on the Employee record. We extract these and load them into Crelate custom Person fields (emergency_contact_name__c, emergency_contact_phone__c, emergency_contact_relationship__c). These fields are relevant if the customer plans to use Crelate for contractor or re-hire onboarding handoff.
greytHR
Payroll Runs
Crelate
None
1:1greytHR payroll runs (gross pay, deductions, net pay, pay period, pay date) do not migrate to Crelate. Crelate has no payroll module and no field equivalent for compensation data. We export a payroll summary CSV from greytHR as a manual reference document for the customer's finance team. Statutory deductions (PF, ESI, TDS) are flagged as high-priority manual handoff items because government filings may reference mid-year payroll records.
greytHR
Leave Management
Crelate
None
1:1greytHR leave balances, accrual history, carry-forward rules, and encashment records do not migrate to Crelate. Crelate has no leave management module. We export the current leave balance snapshot per employee as a CSV reference. Leave carry-forward rules defined in greytHR leave policies must be manually reconfigured if the destination platform includes leave management; we document the current policy settings during scoping.
greytHR
Attendance Records
Crelate
None
1:1greytHR swipe logs, shift schedules, overtime data, and regularization status do not migrate to Crelate. Crelate has no attendance tracking module. We flag that greytHR community posts document occasional swipe visibility issues in the admin view where raw swipe data exists but regularization status has not been updated; we export both raw swipe logs and regularization status and flag contradictions for the customer's attention before migration.
greytHR
Statutory Compliance (PF/ESI/TDS)
Crelate
None
1:1greytHR statutory fields (UAN, PF number, ESI number, PAN, Aadhaar, TDS section) do not migrate to Crelate. These fields are mandated for Indian government filings (EPFO, ESIC, TDS returns) and have no equivalent in Crelate's recruiting data model. We flag every statutory field as a mandatory cutover checklist item: the customer must download official PF/ESI challan history and TDS filing records from greytHR before cutover, as these records are required for mid-year government filing continuity. This is a high-severity handoff item.
greytHR
Claims and Expense Records
Crelate
None
1:1greytHR expense claims, reimbursement amounts, and approval status do not migrate to Crelate. Crelate has no expense management module. If the customer uses Crelate for contractor placements and needs expense reimbursement tracking, they must configure a separate expense management workflow in Crelate or retain another tool. We export claim records as a CSV for the customer's finance team.
greytHR
Position History
Crelate
Person: Work History Custom Fields or Tags
1:1greytHR stores department, designation, grade, and location changes with effective dates as a position history timeline. We extract the current position snapshot and map it to Crelate Person fields. If the customer wants historical position changes preserved, we load them as a custom text field or as work history entries on the Person record; Crelate's primary model does not support full position history timelines, so we compress to current position plus most recent prior role.
greytHR
Performance Reviews
Crelate
None
1:1greytHR performance review cycles, ratings, goals, and feedback text do not migrate to Crelate. Crelate is a recruiting ATS and does not include performance management or review cycle tracking. We export completed review records as a CSV reference for the customer's HR team. In-progress review cycles at migration time are flagged as a cutover risk: the customer's greytHR admin must finalize or document any open review cycles before we freeze writes on the source system.
greytHR
Documents
Crelate
Person: Attachments
1:1greytHR stores employee documents (offer letters, ID proofs, contracts, joining letters, previous employer documents) in its document module. We export document metadata (filename, type, upload date, employee linkage) and binary files where API access is granted. These files attach to the corresponding Crelate Person record as ContentDocumentLink attachments. The customer must verify that document access permissions in greytHR allow bulk export before migration. Some document types (PF forms, ESI cards, TDS certificates) should be retained separately as statutory handoff items.
| greytHR | Crelate | Compatibility | |
|---|---|---|---|
| Employee | Person (Candidate)1:many | Fully supported | |
| Employee: Department and Designation | Person: Tags and Custom Fieldslossy | Fully supported | |
| Employee: Skills and Qualifications | Person: Skills and Tags1:1 | Fully supported | |
| Employee: Emergency Contact | Person: Custom Fields1:1 | Fully supported | |
| Payroll Runs | None1:1 | Mapping required | |
| Leave Management | None1:1 | Fully supported | |
| Attendance Records | None1:1 | Fully supported | |
| Statutory Compliance (PF/ESI/TDS) | None1:1 | Fully supported | |
| Claims and Expense Records | None1:1 | Mapping required | |
| Position History | Person: Work History Custom Fields or Tags1:1 | Mapping required | |
| Performance Reviews | None1:1 | Mapping required | |
| Documents | Person: Attachments1:1 | 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.
greytHR gotchas
Statutory field data quality directly impacts government filings
Attendance regularization status does not always reflect true swipe data
Leave carry-forward and encashment rules are policy-specific, not record-specific
API lacks documented bulk export endpoint for historical payroll data
Crelate gotchas
120 req/min API rate limit throttles bulk migrations
20 custom field per-entity cap forces data model decisions
15,000-record export ceiling on single operations
Sequences and automation workflows do not migrate
API key is a querystring parameter, not a header
Pair-specific challenges
Migration approach
Discovery and migration boundary definition
We audit the greytHR portal across all modules: employee count, active versus inactive employees, custom fields on the Employee object, leave balances at cutoff, payroll run history, statutory field population rates, document module access permissions, and any open performance review cycles. We identify what data maps to Crelate Person records and what data has no destination equivalent. We deliver a written migration boundary document: the greytHR objects that transfer to Crelate, the objects that export as CSV reference documents, and the statutory objects that require manual handoff before cutover. The customer reviews and signs off on the boundary before any extraction begins.
Crelate custom field creation and tagging strategy
We work with the customer to define the Crelate Person record schema that will receive greytHR data. This includes creating custom fields for department, designation, grade, emergency contact details, and any greytHR custom employee fields. We define a tagging taxonomy for Crelate (current-employee, alumni, re-hire-candidate) that the customer uses to classify migrated records. Crelate's field mapping is configured in Settings > Core Records > Customize Fields before extraction begins. We validate that greytHR data types (date formats, free-text versus picklist, numeric formats) are compatible with the Crelate field types we create.
Data extraction and quality audit
We extract greytHR employee records via the API with throttled sequential reads (greytHR does not document bulk export endpoints or rate limits, so we implement resume-from-cursor logic to handle large employee bases). We run a data quality audit against the greytHR statutory field schema and surface missing or malformed UAN, PAN, Aadhaar, and ESI values before extraction. We export attendance raw logs alongside regularization status and flag discrepancies. We export leave balance snapshots, payroll summary data, and document metadata with binary files where access is granted. The audit report is delivered to the customer for review before transformation begins.
Transformation and Crelate import preparation
We transform greytHR employee records into Crelate Person import format. Contact fields, emergency contacts, skills, department, designation, and grade map to the corresponding Crelate Person fields or tags. Statutory fields (UAN, PF, ESI, PAN) are stripped from the Person import but documented in the statutory handoff package. We compress position history to current role and most recent prior role. We validate record counts and run a sample import (25-50 records) into the customer's Crelate staging environment to confirm field mapping accuracy before the full load.
Staging migration and reconciliation
We run the full migration into the customer's Crelate staging environment. The customer reconciles record counts (Persons created, records with tags applied, records with attachments), spot-checks 25-50 random Person records against the greytHR source data, and validates that emergency contacts, skills, and department/designation fields populated correctly. Any field mapping corrections happen in staging. We do not proceed to production until the customer signs off on the staging reconciliation report.
Production migration, statutory handoff, and cutover
We run the production migration in a single cutover window after the customer freezes writes in greytHR. We deliver the statutory handoff package (PF/ESI challan history, TDS filing records, payroll summary CSV, leave balance snapshot) as a separate document set for the customer's finance and compliance teams. We deliver a written inventory of greytHR documents (offer letters, contracts, ID proofs) that were migrated as Crelate attachments. We do not migrate active payroll runs, leave policies, attendance workflows, or performance review cycles; these are documented separately for manual continuity or rebuild in the customer's chosen replacement tools. We support a one-week post-cutover window for reconciliation of any import errors.
Platform deep dives
greytHR
Source
Strengths
Weaknesses
Crelate
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 greytHR and Crelate.
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
greytHR: Not publicly documented.
Data volume sensitivity
greytHR 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
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FAQ
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