CRM migration
Field-level mapping, validation, and rollback between Jarvis CRM and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Jarvis CRM
Source
Freshsales
Destination
Compatibility
5 of 8
objects map 1:1 between Jarvis CRM and Freshsales.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Jarvis CRM to Freshsales is a structural migration from a FileMaker-powered ERP hybrid to a REST-API-first SaaS CRM. Jarvis runs on a per-customer FileMaker Pro instance with no published REST API, so we extract data via FileMaker export scripts or direct table access, preserve primary-key and foreign-key relationships across all tables, and load into Freshsales using its bulk CSV import. Freshsales does not have a native ERP module, so Projects, Time Entries, and Vendors must be evaluated for mapping to Freshsales Notes, custom fields, or external systems post-migration. We conduct a mandatory schema audit of the live FileMaker instance before migration to identify which objects and custom fields are active and which have no Freshsales equivalent. Workflows, automations, and FileMaker Pro scripts do not migrate and are documented for the customer's admin to rebuild in Freshsales.
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 Jarvis CRM object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Jarvis CRM
Contact
Freshsales
Contact
1:1Jarvis Contact records map directly to Freshsales Contact. We extract via FileMaker export or direct table access, preserving the primary key and any foreign key links to Company or Project records. Custom contact fields identified during schema audit map to Freshsales custom fields of the appropriate type (text, number, date, picklist). Email address is used as the dedupe key on import. Owner assignment from FileMaker ACL maps to Freshsales Sales Owner by email match.
Jarvis CRM
Company
Freshsales
Account
1:1Jarvis Company records map to Freshsales Account. Company name is the dedupe key. Any custom company fields (industry classification, billing address fields, custom properties) migrate to Freshsales custom Account fields. We create Account records before Contact import so that the Account-Contact relationship is satisfied at the moment of Contact insert.
Jarvis CRM
Opportunity
Freshsales
Deal
1:1Jarvis Opportunity records map to Freshsales Deal. Deal name, value, stage, and owner migrate directly. Pipeline stage names from Jarvis map to Freshsales deal stages; we configure the Freshsales pipeline stages before migration so that stage mapping is explicit rather than inferred. Closed-won and closed-lost reasons from Jarvis become Freshsales custom deal fields.
Jarvis CRM
Project
Freshsales
Note or Custom Object
lossyJarvis Project records (from the project management module) have no direct Freshsales equivalent because Freshsales is a sales CRM without native project management. We evaluate each customer's active Projects and map them to Freshsales Notes attached to the related Account or Deal, or document them as a custom object requiring Freshsales Pro or Enterprise schema creation. Gantt layout and task dependencies are preserved as note metadata; they cannot render as structured tasks in Freshsales.
Jarvis CRM
Time Entry
Freshsales
Note or Custom Field
lossyJarvis time tracking entries (billable and non-billable hours linked to projects or contacts) have no native Freshsales equivalent. We extract time entry records with linked project and contact IDs, then map them to Freshsales Notes on the associated Contact or Deal record, or to a custom field on the Deal. The customer decides during scoping whether time data is operationally relevant in the new CRM or should be archived as a reference note.
Jarvis CRM
Vendor
Freshsales
Account (type = Vendor)
1:1Jarvis vendor records (from the ERP module) map to Freshsales Account records with the Account Type field set to Vendor. We export the vendor table with vendor name, contact, payment terms, and PO data, then create Freshsales Accounts of type Vendor that are separate from customer Accounts. QuickBooks Online integration data from Jarvis may also hold live vendor records; we align the import with the customer's QuickBooks sync plan.
Jarvis CRM
Custom Properties
Freshsales
Custom Fields
lossyJarvis is built on FileMaker Pro and is fully customizable, meaning every deployment has custom contact fields, company fields, and opportunity fields that do not exist in a standard schema. We identify all custom properties during the mandatory schema audit and create matching Freshsales custom fields before any data import. Fields with no Freshsales equivalent are flagged in the scoping document and the customer decides whether to drop, map to a text field, or defer to a post-migration Freshsales admin task.
Jarvis CRM
User and Owner
Freshsales
User
1:1Jarvis user records and owner assignments on Contacts, Companies, and Deals are extracted from the FileMaker ACL and record-level ownership fields. We match Jarvis owners to Freshsales Users by email address during migration. Any Jarvis owner without a matching Freshsales User is placed in a reconciliation queue for the customer's admin to provision before record import continues.
| Jarvis CRM | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Project | Note or Custom Objectlossy | Fully supported | |
| Time Entry | Note or Custom Fieldlossy | Fully supported | |
| Vendor | Account (type = Vendor)1:1 | Fully supported | |
| Custom Properties | Custom Fieldslossy | Mapping required | |
| User and Owner | User1:1 | 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.
Jarvis CRM gotchas
No documented public API means migration requires FileMaker-native exports
FileMaker schema varies per deployment because the platform is fully customizable
Customizations are not included in base pricing and require separate engagement
Data relationships between FileMaker tables must be reconstructed manually
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
FileMaker access and schema audit
We coordinate with the customer's Jarvis FileMaker host to obtain technical access and permission for data extraction. We run a full schema audit of the live FileMaker instance, identifying every active table (Contacts, Companies, Opportunities, Projects, Time Entries, Vendors, Custom Properties), their field names, data types, picklist values, and relationship keys. The schema audit output is a written mapping document that the customer reviews and signs off before any extraction begins.
Freshsales setup and custom field creation
We create the customer's Freshsales account (or validate the existing account if partially configured), set up the correct date format, and create all custom fields matching the schema audit findings. We configure the deal pipeline stages, account types (including the Vendor type for ERP vendor records), and any custom picklists needed. Freshsales setup is validated before extraction so that the destination schema is ready when the first FileMaker export arrives.
FileMaker data extraction in dependency order
We extract FileMaker tables in dependency order: Companies first (as the parent of Contacts), then Contacts (with Company IDs preserved), then Opportunities (with Contact and Company IDs preserved), then Projects and Time Entries (flagged for Freshsales Notes mapping), then Vendors. We export primary keys and foreign keys alongside the data so that relationships can be reconstructed in Freshsales. Custom field data is extracted as separate columns mapped to the Freshsales custom fields created in step two.
Data cleansing and transformation
We cleanse the extracted data before import: deduping by email address on Contacts and by company name on Accounts, normalizing date formats to match Freshsales settings, validating picklist values against the Freshsales field configuration, and flagging records with missing required fields. Any data quality issues are documented and resolved in coordination with the customer's admin before the import run begins.
Bulk import into Freshsales
We run the Freshsales bulk CSV import in dependency order: Accounts first, then Contacts (with AccountId resolved), then Deals (with ContactId and OwnerId resolved), then Notes for Projects and Time Entries, then Vendors as Accounts of type Vendor. Each phase emits a row-count reconciliation report. We use the Freshsales Data Import wizard for standard objects and custom CSV loads for custom fields. Owner mapping is resolved by email match against Freshsales Users; owners without a match are held in a reconciliation queue.
Cutover, validation, and handoff
We freeze Jarvis writes during cutover, run a final delta migration of any records created or modified during the migration window, then mark Freshsales as the system of record. We deliver a written inventory of all migrated objects, record counts, and any fields that were flagged as unmapped during schema audit with recommendations for post-migration Freshsales admin configuration. We support a one-week hypercare window for reconciliation issues. We do not rebuild FileMaker Pro scripts, custom automations, or ERP workflows in Freshsales; these are documented for the customer's admin to rebuild.
Platform deep dives
Jarvis CRM
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Jarvis CRM and Freshsales.
Object compatibility
3 of 8 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
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Jarvis CRM: Not publicly documented.
Data volume sensitivity
Jarvis CRM 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
Pick a category, then your source and destination platforms.
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FAQ
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