HRMS migration

Migrate from Jarvi to Recruit CRM & ATS

Field-level mapping, validation, and rollback between Jarvi and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.

Jarvi logo

Jarvi

Source

Recruit CRM & ATS

Destination

Recruit CRM & ATS logo

Compatibility

83%

10 of 12

objects map 1:1 between Jarvi and Recruit CRM & ATS.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Jarvi to Recruit CRM is a recruiting-agency data migration that requires resolving several platform-specific structural differences. Jarvi consolidates ATS and CRM records under a unified data model with native multi-channel communication (LinkedIn, email, WhatsApp, Telegram) and an embedded AI agent that generates candidate summaries as linked data points rather than standalone objects. Recruit CRM uses a separate ATS and CRM object structure with a client-facing portal, an AI-powered call note-taker, and over 1,000 third-party integrations accessible via its Chrome extension for sourcing. We extract from Jarvi's unpaginated API endpoint by streaming in chunks, map job-to-candidate pipeline associations, and migrate conversation threads as activity records rather than native conversation objects since Recruit CRM threads messages per Contact without the multi-channel inbox depth Jarvi provides. Workflows, automations, and sequence cadences do not migrate; we deliver a written inventory of every active workflow for the customer's admin to rebuild in Recruit CRM.

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

Jarvi logo

Jarvi

What's pushing teams away

  • Profile import updates from LinkedIn and other sources run on a scheduled basis (reportedly every 6 months for some imports), leaving candidate data stale between sync cycles and frustrating recruiters who need real-time information.
  • The Magic Reply AI feature and automated message variables lack polish—reviewers note that capitalization handling and multi-word field parsing in auto-generated messages produce awkward output requiring manual correction.
  • Some users report the platform still lacks certain advanced features present in larger competitors, and while the roadmap is active, feature gaps in reporting depth and advanced automation frustrate power users.

Choosing

Recruit CRM & ATS logo

Recruit CRM & ATS

What's pulling them in

  • Agencies choose Recruit CRM for its full customizability — pipelines, stages, and fields can be tailored to any recruitment workflow without developer involvement.
  • Small teams value the built-in CRM and ATS combined in one subscription, eliminating the need to purchase and sync separate systems.
  • The Chrome extension for one-click LinkedIn profile collection streamlines candidate sourcing and reduces manual data entry for recruiters.
  • Responsive customer support with fast issue resolution is consistently cited as a reason teams stick with the platform long-term.
  • Automation options including email sequences and workflow triggers allow recruitment agencies to reduce repetitive manual outreach tasks.

Object mapping

How Jarvi objects map to Recruit CRM & ATS

Each row shows how a Jarvi 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.

Jarvi

Candidate

maps to

Recruit CRM & ATS

Candidate

1:1
Fully supported

Jarvi Candidate records map to Recruit CRM Candidates. Standard fields (name, email, phone, current_title, current_company, location) map directly to the corresponding Recruit CRM candidate fields. Jarvi's status and stage properties map to Recruit CRM's candidate status pipeline. The candidate_skills array from Jarvi's JSON output maps to Recruit CRM's skills custom field (multi-select or text list). Jarvi's candidate rating (1-5 stars) maps to Recruit CRM's rating field. Source attribution (LinkedIn, job board, direct) is preserved in a custom field for reporting.

Jarvi

Contact

maps to

Recruit CRM & ATS

Contact

1:1
Fully supported

Jarvi CRM Contacts map to Recruit CRM Contacts. The Contact stores company association, lifecycle stage, and multichannel communication history. We preserve the original Jarvi lifecycle stage in a custom field jv_original_lifecycle__c on the Recruit CRM Contact for audit. Contact owner assignment resolves by email match against Recruit CRM users. Any Jarvi Contact without a matching owner is flagged for the customer's admin to provision before record import begins.

Jarvi

Job

maps to

Recruit CRM & ATS

Job

1:1
Fully supported

Jarvi Job postings and requisitions map directly to Recruit CRM Jobs. Job title, description, location, salary range, employment type, and posting status migrate. The job's associated pipeline stages and stage ordering extract from Jarvi and are mapped to Recruit CRM's pipeline configuration. Posting channel assignments (which job boards the job was published to) are preserved as a custom text field since Recruit CRM manages job board distribution separately within the Jobs module.

Jarvi

Pipeline Stages

maps to

Recruit CRM & ATS

Pipeline Stages

lossy
Mapping required

Jarvi's custom pipeline stage definitions per job or per CRM deal extract as a stage schema alongside each record. We map each Jarvi stage name and position to a corresponding Recruit CRM stage, preserving the win and loss state flags. If Recruit CRM lacks an equivalent stage (for example, a Jarvi-specific screening stage), we create the stage in Recruit CRM's pipeline configuration before migration begins.

Jarvi

Job-to-Candidate Association

maps to

Recruit CRM & ATS

Candidate Job Link

1:1
Fully supported

Jarvi's job-to-candidate associations are first-class links stored alongside each Candidate record's job assignments. We extract the job_id and candidate_id pair, resolve the job reference in Recruit CRM (which requires the Job record to already exist), and create the association by updating the candidate record's associated_jobs field in Recruit CRM. This step requires Jobs to migrate before Candidates or requires us to create placeholder Job stubs first and reconcile after the full Job migration completes.

Jarvi

Activity

maps to

Recruit CRM & ATS

Activity

1:1
Fully supported

Jarvi Activity records (emails sent, LinkedIn messages, calls, meetings, tasks) map to Recruit CRM Activities. The activity type, timestamp, subject, body, and channel attribution migrate. We preserve the parent reference (candidate_id or contact_id) so the activity appears on the correct record in Recruit CRM. Call duration and disposition from Jarvi map to Recruit CRM's call_log custom fields. Meeting details (attendees, location, start/end time) map to Recruit CRM's meeting activity type.

Jarvi

Company

maps to

Recruit CRM & ATS

Organization

1:1
Fully supported

Jarvi Company records map to Recruit CRM Organizations. Company name, industry, size tier, revenue tier, website, and address fields migrate directly. Company owner assignment resolves by email against Recruit CRM users. Multiple Contacts associated with the same Company in Jarvi link to the same Organization record in Recruit CRM with individual Contact records beneath it.

Jarvi

Custom Fields

maps to

Recruit CRM & ATS

Custom Fields

1:1
Mapping required

Jarvi exposes a UUID-based Custom Fields API for Candidates and Contacts with types including text, number, date, and dropdown. We retrieve the field schema before migration and create matching custom fields in Recruit CRM (using Recruit CRM's per-object field builder). Dropdown fields in Jarvi map to picklist fields in Recruit CRM with the same option values preserved. Text and number fields map directly. Any custom field type without a Recruit CRM equivalent (for example, a Jarvi-specific rating matrix) is stored as a custom text field with the original values preserved as JSON.

Jarvi

Attachments

maps to

Recruit CRM & ATS

Resume / Document

1:1
Mapping required

Resumes, cover letters, and uploaded documents attach to Jarvi Candidate profiles as file metadata and reference URLs. We export attachments alongside candidate records, mapping them to the Recruit CRM candidate's resume and document upload fields. File hosting URLs from Jarvi are preserved as reference links if Recruit CRM does not support direct file hosting. We flag any attachment that exceeds Recruit CRM's file size limit and offer a storage strategy during scoping.

Jarvi

Conversation

maps to

Recruit CRM & ATS

Activity (per-channel)

1:many
Fully supported

Jarvi threads messages across LinkedIn InMail, email, WhatsApp, Telegram, and SMS into a unified conversation view. Recruit CRM does not have an equivalent unified conversation object; instead, each message type appears as a separate activity record (email_activity, call_log, sms_activity). We split the conversation thread by channel attribution stored in Jarvi's message records and import each message as an individual activity linked to the parent Candidate or Contact. Channel attribution (LinkedIn, WhatsApp, etc.) is preserved in a custom field on each activity record so the customer's team can filter by source channel.

Jarvi

AI Summaries

maps to

Recruit CRM & ATS

Custom Text Field

1:1
Mapping required

Jarvi's AI agent produces candidate summaries, profile evaluations, and outreach suggestions as linked data points on the candidate record rather than standalone objects. When migrating to Recruit CRM, these summaries land as a custom text field (ai_summary__c) on the candidate record. If the customer's Recruit CRM plan does not include custom fields on the Candidate object, we flag the orphaned AI data and offer a post-migration re-generation step using Recruit CRM's own AI tools. The original Jarvi summary text is preserved in the custom field so no AI-generated content is lost during migration.

Jarvi

Owner

maps to

Recruit CRM & ATS

User

1:1
Fully supported

Jarvi Owners (recruiters and admins) map to Recruit CRM Users. We resolve owners by email match against the Recruit CRM destination user table. Any Jarvi Owner without a matching Recruit CRM User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Active and inactive status is preserved so that inactive Jarvi users do not automatically activate in Recruit CRM.

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.

Jarvi logo

Jarvi gotchas

Medium

Profile import endpoint is unpaginated

Low

AI-generated profile summaries are not native objects

Medium

LinkedIn data freshness depends on sync schedule

Recruit CRM & ATS logo

Recruit CRM & ATS gotchas

High

API rate limits are license-scaled and can throttle bulk migration

Medium

Custom field schemas vary per organization and require field-level mapping

Medium

Files and email attachments require separate extraction and re-upload

Low

Email sequences and automation logic do not transfer between platforms

Pair-specific challenges

  • Jarvi's profile API returns all records in a single unpaginated response

    The Jarvi API profiles endpoint returns all candidate records in one response without pagination. For large candidate pools, this can cause timeout or memory issues during extraction. We stream the response in chunks on our end, request the data in batches where the API supports it, and flag expected record counts during scoping so the customer knows the volume before extraction begins. This is a Jarvi-specific API constraint that does not affect other source platforms.

  • Conversation threads split into per-channel activity records

    Jarvi's unified multi-channel inbox threads messages across LinkedIn, email, WhatsApp, and Telegram in a single view. Recruit CRM does not have an equivalent unified conversation object; messages land as individual activity records grouped by channel. We split the thread by channel attribution and import each message as a separate activity record with channel attribution preserved in a custom field. The customer's team should expect to see activity records rather than a threaded conversation view after migration.

  • AI summaries migrate as custom text fields, not native objects

    Jarvi's AI agent generates candidate summaries as linked data points on the candidate record. Recruit CRM does not have a native AI summary object. We store these summaries in a custom text field on the candidate record. If the customer's Recruit CRM plan restricts custom fields on Candidates, we flag the limitation and offer to regenerate summaries using Recruit CRM's AI tools post-migration.

  • Job-to-candidate associations require parent-record lookup resolution

    Jarvi stores job-to-candidate associations as first-class links on the Candidate record. Migrating these associations requires the Job record to already exist in Recruit CRM so that we can resolve the job_id reference. We handle this by migrating Jobs first (or creating placeholder Job stubs) and then resolving and inserting the candidate-job associations in a second pass. Agencies with a high number of complex job-to-candidate many-to-many relationships should expect this two-pass approach to add one to two days to the migration timeline.

Migration approach

Six steps for a successful Jarvi to Recruit CRM & ATS data migration

  1. Discovery and scoping

    We audit the source Jarvi account across candidate volume, contact volume, job count, pipeline stage schemas (per-job and per-deal), activity history depth, custom field definitions, attachment file sizes, and owner roster. We also identify conversation thread volume and channel distribution to scope the per-channel activity split. The discovery output is a written migration scope document with record counts per object, a custom field mapping matrix, and a recommended Recruit CRM plan based on the customer's record and integration requirements.

  2. Schema pre-creation in Recruit CRM

    We create the destination schema in Recruit CRM before any data moves. This includes creating any custom fields needed to receive Jarvi's custom field data (including the ai_summary__c field for AI summaries and channel attribution fields for split conversation records), configuring pipeline stages to match Jarvi's stage schema, and provisioning placeholder Job records if the job-to-candidate association migration requires parent-record resolution in advance. Schema creation happens in a Recruit CRM trial or sandbox environment for validation before production migration.

  3. Streaming extraction from Jarvi's unpaginated API

    We extract all objects from Jarvi using a streaming, chunked approach to handle the unpaginated profiles endpoint without timeout or memory failure. Candidate records are extracted in batches and written to an intermediate staging layer. Activity records are extracted with parent-record references preserved (candidate_id and contact_id) for later lookup resolution. Conversation threads are split by channel attribution at extraction time so that the channel metadata is preserved before the per-channel activity import begins.

  4. Owner reconciliation and user provisioning

    We extract every distinct Jarvi Owner referenced across Candidates, Contacts, Jobs, and Activities and match by email against the Recruit CRM destination's user table. Owners without a matching Recruit CRM user go to a reconciliation queue. The customer's admin provisions any missing users before record import begins. Migration cannot proceed past this step because owner references are required on most standard object inserts in Recruit CRM.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jobs (or placeholder Jobs for association resolution), Organizations (from Jarvi Companies), Candidates (with job-association references resolved against the Job layer), Contacts, Custom Field values (populated after the parent record exists), Activities (Tasks, Calls, Meetings, Emails via bulk insert), Conversation records (per-channel split), Attachments (linked to parent Candidates), and AI Summaries (custom text field population last). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation inventory delivery

    We freeze Jarvi writes during cutover, run a final delta migration of any records modified during the migration window, then enable Recruit CRM as the system of record. We deliver a written inventory of every active Jarvi workflow and automation with its trigger conditions, actions, and recommended Recruit CRM equivalent. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Jarvi workflows as Recruit CRM automations inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Jarvi logo

Jarvi

Source

Strengths

  • All-in-one ATS plus CRM eliminates the need for separate subscriptions, combining candidate tracking with client relationship management under one roof.
  • Built-in AI agent covers resume parsing, candidate matching, outreach drafting, and meeting note-taking at no additional cost per seat.
  • Native multichannel communication hub integrates LinkedIn (all license types), email, WhatsApp, and Telegram into a single searchable inbox.
  • Efficient data management and positive onboarding experience are cited by customers as reducing time-to-productivity for new users.
  • Modern interface with responsive customer support and a proactive product team with frequent feature releases.

Weaknesses

  • Profile updates from external sources (LinkedIn, resume imports) run on a scheduled cadence rather than real-time, potentially leaving candidate data outdated between sync windows.
  • Advanced automation capabilities and reporting depth trail those of larger enterprise ATS platforms, limiting appeal for high-volume agency operations.
  • AI-generated content (outreach messages, summaries) still requires human review and editing, particularly for edge cases in variable handling and tone.
  • Pricing transparency is limited; the site does not publish per-seat or tier pricing publicly, requiring a sales conversation to obtain a quote.
Recruit CRM & ATS logo

Recruit CRM & ATS

Destination

Strengths

  • Fully customizable pipelines, stages, and fields without requiring developer involvement
  • Combines recruitment CRM and ATS in one subscription for staffing agencies and small teams
  • Built-in email sequences and automation reduce manual outreach work
  • Chrome extension enables one-click LinkedIn profile collection directly into the CRM
  • Responsive customer support cited across multiple reviews with fast resolution times

Weaknesses

  • Several features are gated as paid add-ons rather than included in the base subscription
  • Email functionality has been reported as unreliable by multiple users
  • Interface occasionally lags during high-activity periods in large pipelines
  • Pricing is considered higher than comparable recruitment CRMs by some customers
  • Limited native reporting — users request pre-made report exports rather than manual data pulls

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 Jarvi and Recruit CRM & ATS.

  • 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

    Jarvi: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Jarvi to Recruit CRM & ATS 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 Jarvi to Recruit CRM & ATS data migrations

Answers to the questions buyers ask most during Jarvi to Recruit CRM & ATS migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for agencies with fewer than 10,000 Candidates, 2,000 Jobs, and a straightforward pipeline structure. Migrations with large conversation histories (over 200,000 activity records), multiple custom field sets per object, or complex job-to-candidate association tables requiring two-pass resolution move to six to ten weeks because of the streaming extraction work and per-channel conversation split.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Jarvi.
Land in Recruit CRM & ATS, intact.

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