HRMS migration
Field-level mapping, validation, and rollback between Kula and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Kula
Source
BambooHR
Destination
Compatibility
8 of 10
objects map 1:1 between Kula and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Migrating from Kula to BambooHR is a shift from a dedicated AI-first ATS to an HRIS platform where the applicant tracking module is a tier-gated add-on. Kula's recruiting data model (Candidates, Jobs, Applications, Interviews, Scorecards) must map to BambooHR's HRIS structure (Employees, Job Openings, Applicant Tracking), and the structural difference means AI resume scores and interview summaries from Kula carry over as text fields only. We extract Kula's pipeline stage definitions and recreate them as BambooHR pipeline statuses, preserve candidate activity timelines as notes or custom fields, and flag every field that exceeds BambooHR's API import constraints before any record moves. BambooHR's ATS functionality is gated to the Advantage tier at approximately $8–12 per employee per month; migrations scoped to Essentials will not include applicant tracking records. Workflows, automated sequences, and career site configurations do not migrate; we deliver a written inventory of every automation requiring manual rebuild in BambooHR'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 Kula object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Kula
Candidate
BambooHR
Employee (pre-hire status)
1:1Kula Candidate records map to BambooHR Employee records in pre-hire status for candidates who advance to offer and acceptance. Candidate contact information (name, email, phone, address) maps to the corresponding BambooHR Employee fields. Active sourcing profile data from LinkedIn and GitHub preserved in custom fields or note attachments since BambooHR does not have native sourcing profile fields. We flag AI-generated candidate scores from Kula as read-only custom text fields on the BambooHR Employee record; these are static values and will not update automatically.
Kula
Job (Requisition)
BambooHR
Job Opening
1:1Kula Job records map to BambooHR Job Openings (ATS module, Advantage tier required). We extract the job title, department assignment, location, employment type, and description, then map them to BambooHR's job opening fields. Pipeline stages from Kula extract as custom pipeline status values in BambooHR; we create the status options during schema setup to match Kula's stage ordering. Active versus closed status preserves at migration time. Jobs without a department match in BambooHR are flagged for the customer admin to configure departments before migration.
Kula
Application
BambooHR
Applicant
1:1Kula Application records (linking a Candidate to a Job with stage progression history) map to BambooHR Applicant records. Source attribution (referral, job board, direct) migrates to BambooHR's applicant source field. Application submission date, current pipeline stage, and outcome (rejected, withdrawn, offer extended, offer accepted) transfer as structured fields and custom fields where BambooHR's native schema does not cover the outcome states. We preserve stage progression timestamps as note attachments for audit continuity.
Kula
Interview
BambooHR
Interview (BambooHR ATS)
1:1Kula Interview records map to BambooHR Interview records for candidates who have reached the interview stage in the BambooHR ATS pipeline. Interviewer assignments resolve by email match against BambooHR user records. Scheduled round, date, and outcome data transfers to the BambooHR interview record. If the destination BambooHR account does not have ATS enabled (Essentials tier), interviews migrate as note attachments on the applicant record rather than native interview objects.
Kula
Scorecard
BambooHR
Note or Custom Field
1:1Kula Scorecard records with reviewer ratings and evaluator feedback map to BambooHR Note records attached to the relevant applicant. Scorecard templates do not transfer as reusable templates; we document the template structure (rating dimensions, scoring scale) in the handoff inventory so the customer's admin can recreate templates in BambooHR's form builder. AI-generated interview summaries from Kula migrate as text note content, not as live metrics, since BambooHR has no equivalent AI summarization feature.
Kula
Pipeline Stage
BambooHR
Pipeline Status
lossyKula's customizable pipeline stages per job extract as a list of stage names and ordering from the source instance. We create matching pipeline status values in BambooHR's ATS configuration during schema setup. If Kula has stages with no BambooHR equivalent (e.g., 'Assessment' or 'Culture Fit' stages without a direct BambooHR status), we map them to the nearest equivalent and flag the gap in the handoff documentation. Stage probabilities from Kula do not transfer to BambooHR because BambooHR ATS does not use probability-based pipeline forecasting.
Kula
Custom Field
BambooHR
Custom Field
lossyKula custom fields on Candidates, Jobs, or Applications extract as definitions and values. We map them to BambooHR custom fields, creating new custom fields in BambooHR during pre-migration setup. Note that BambooHR API cannot pass dropdown list fields with values that do not match existing picklist options; we validate picklist values against BambooHR's allowed values during mapping and flag mismatches. Custom fields with multiple-selection behavior require conversion to multiple single-select fields or custom text fields in BambooHR because native multi-select is not fully supported via API.
Kula
Tag and Source Attribution
BambooHR
Custom Field or Tag
1:1Kula tags (e.g., 'referral', 'sourced-linkedin', 'passive-candidate') migrate to BambooHR custom fields or text fields on the applicant record. Source attribution from applications (where the candidate was sourced) migrates to the native applicant source field. Tag limits in BambooHR require validation during mapping; we flag any tag that cannot map directly and propose a custom field alternative. Tags used for candidate classification rather than sourcing map as custom text properties with the original tag preserved in the field value.
Kula
User and Team Assignments
BambooHR
BambooHR User
1:1Recruiter owners, hiring managers, and interviewers from Kula resolve by email match against BambooHR User accounts. We extract every distinct user referenced in Kula job and application assignments, cross-reference against the BambooHR user table, and flag any Kula user without a matching BambooHR user in a reconciliation queue. The customer's BambooHR admin provisions any missing users before record migration resumes. Orphaned assignments (where the user does not exist in BambooHR) default to the admin user and are flagged for manual reassignment post-migration.
Kula
Interviewer Pool
BambooHR
BambooHR User Group
1:1Kula's interviewer pool membership records map to BambooHR User Groups. Pool membership assignments migrate as group memberships in BambooHR. Availability settings and scheduling rules are destination-dependent and do not transfer; we document the original pool structure and availability rules in the handoff inventory for the customer's admin to reconfigure in BambooHR's scheduling module. Scheduling load balancing requires manual setup in BambooHR post-migration.
| Kula | BambooHR | Compatibility | |
|---|---|---|---|
| Candidate | Employee (pre-hire status)1:1 | Fully supported | |
| Job (Requisition) | Job Opening1:1 | Fully supported | |
| Application | Applicant1:1 | Fully supported | |
| Interview | Interview (BambooHR ATS)1:1 | Fully supported | |
| Scorecard | Note or Custom Field1:1 | Fully supported | |
| Pipeline Stage | Pipeline Statuslossy | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Tag and Source Attribution | Custom Field or Tag1:1 | Fully supported | |
| User and Team Assignments | BambooHR User1:1 | Mapping required | |
| Interviewer Pool | BambooHR User Group1:1 | 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.
Kula gotchas
AI-generated scores do not carry over as live metrics
Reporting exports require a separate manual step
Frequent platform updates can change field behavior
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and BambooHR tier verification
We audit the source Kula instance across active jobs, candidate records, application histories, pipeline stage definitions, custom fields, active interviewer pools, and user assignments. We verify the customer's BambooHR account tier (Essentials or Advantage) and confirm that ATS migration scope is feasible. If the account is on Essentials, we flag the tier constraint and advise on an Advantage upgrade before migration begins. The discovery output is a written migration scope document with record counts, object inventory, and a BambooHR tier recommendation if applicable.
Schema mapping and field-level validation
We design the field-level mapping between Kula and BambooHR, including custom field creation in BambooHR for any Kula fields without native equivalents. We validate picklist values against BambooHR's allowed options, convert multi-select Kula fields to text or multiple single-select fields as appropriate, and flag any field that exceeds BambooHR's API import constraints. Pipeline stage definitions extract from Kula and configure as BambooHR pipeline status values during this phase. The mapping document is reviewed by the customer before any data extraction begins.
Sandbox test migration
We run a full migration into the customer's BambooHR sandbox environment using production-like data volume to validate the field mapping, confirm ATS object creation, and identify any record rejection issues caused by validation rules or required field constraints. The customer reconciles record counts and spot-checks 25-50 records against the Kula source. Any mapping corrections and validation rule bypasses are resolved in the sandbox before production migration begins. BambooHR implementation fees (typically 5–15 percent of annual contract) for data import assistance are outside FlitStack AI scope and are the customer's direct cost with BambooHR.
User and department reconciliation
We extract every distinct user referenced in Kula across jobs, applications, interviews, and scorecards, and match them by email against the BambooHR User table. Any Kula user without a matching BambooHR user enters a reconciliation queue. The customer's BambooHR admin provisions missing users and configures department assignments that match Kula's department structure before the production migration runs. Department mismatches between Kula and BambooHR are flagged and resolved here because department is a required reference on Job Opening records.
Production migration in dependency order
We run production migration in record-dependency order: departments and users first (validated), then Job Openings (with pipeline stage configuration), then Applicants (with source attribution and stage progression), then Interview records, and finally custom fields and tags. AI-generated score values and interview summaries land as note attachments or custom text fields. Each phase emits a row-count reconciliation report before the next phase begins. We use BambooHR's REST API with rate-limit handling and batch chunking for large record sets.
Cutover, validation, and automation rebuild handoff
We freeze Kula writes during cutover, run a final delta migration of any records modified during the migration window, then enable BambooHR as the system of record for recruiting data. We deliver the automation and template inventory document covering Kula workflows, interview scheduling rules, and outreach templates that require rebuild in BambooHR's native workflow builder. We support a one-week hypercare window to resolve reconciliation issues. We do not rebuild Kula workflows as BambooHR workflows inside the migration scope; that is a separate engagement.
Platform deep dives
Kula
Source
Strengths
Weaknesses
BambooHR
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 Kula and BambooHR.
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
Kula: Not publicly documented.
Data volume sensitivity
Kula 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
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FAQ
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