CRM migration
Field-level mapping, validation, and rollback between Jarvis CRM and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Jarvis CRM
Source
Zoho CRM
Destination
Compatibility
6 of 12
objects map 1:1 between Jarvis CRM and Zoho CRM.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Jarvis CRM to Zoho CRM is a FileMaker-to-REST migration with no published API on the source side. Every Jarvis deployment runs on a per-customer FileMaker Pro instance with a unique schema, so the migration begins with a mandatory schema audit to identify which tables are in use, which custom fields exist, and which relationships must be reconstructed. We export from FileMaker in dependency order (primary keys and foreign keys preserved), stage the data in CSV format, then load into Zoho CRM via the Zoho API using explicit parent-record lookups to maintain relational integrity. Workflows, automations, and FileMaker scripts do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Zoho's Workflow Rules and Blueprint builders.
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 Zoho CRM, 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
Zoho CRM
Lead or Contact
1:manyJarvis Contact records map to Zoho CRM Leads by default if the contact has not been qualified into a business relationship. Contacts that are associated with a Jarvis Company and represent an active account map to Zoho CRM Contacts linked to an Account record. We extract both the Contact table and the Company-Contact relationship table from FileMaker to compute the split using the relational join, preserving the original contact ID as a custom field for audit traceability.
Jarvis CRM
Company
Zoho CRM
Account
1:1Jarvis Company records map directly to Zoho CRM Accounts. We extract the full Company table including any custom fields the deployment has added, then map Company Name to Account Name, Company Phone to Phone, and any custom address fields to the standard Zoho address compound field. Dedupe is performed on Account Name and Website domain during import.
Jarvis CRM
Opportunity
Zoho CRM
Deals
1:1Jarvis Opportunities map to Zoho CRM Deals. The deal stage from Jarvis maps to a Zoho CRM Stage (Prospecting, Qualification, Proposal/Price Quote, Negotiation, Closed Won, Closed Lost). We extract stage names from the live FileMaker schema during the schema audit because stage names vary per deployment. Closed-won and closed-lost timestamps from Jarvis migrate to the Zoho Closed Date field. Deal Owner maps to Zoho CRM User via email-based owner resolution.
Jarvis CRM
Project
Zoho CRM
Tasks or Deals (Projects module)
1:manyJarvis Projects have two migration paths depending on their use case. Projects that represent billable work or deliverables with a revenue figure map to Zoho CRM Deals with a linked Project description. Projects that represent task collections without a revenue figure map to Zoho CRM Tasks with the Project name stored in the WhatId or a custom Project field. We identify which path applies during the schema audit by checking for a linked revenue field in the FileMaker Project table.
Jarvis CRM
Time Entry
Zoho CRM
Custom Time Tracking Fields
lossyJarvis time entries (timecards and job-time) have no direct Zoho CRM standard equivalent. We map billable and non-billable hours to a set of custom fields on the related Deal or Task: Hours_Billable__c, Hours_Non_Billable__c, Time_Entry_Date__c, and Time_Entry_ID__c for audit. If the customer also licenses Zoho FSM or Zoho Books, we coordinate the time entry import to align with the relevant project or invoice module.
Jarvis CRM
Campaign and Contact Group
Zoho CRM
Campaign
1:1Jarvis Campaign and Contact Group records map to Zoho CRM Campaigns. Campaign metadata (name, type, start date, status) migrates directly. Contact group memberships migrate as Campaign Member records linked via the Contact email to the migrated Lead or Contact. Because Jarvis does not have a native marketing automation engine, campaign engagement data (opens, clicks) is typically absent in Jarvis; we flag this absence during scoping and document it for the customer to establish baseline tracking post-migration in Zoho Campaigns.
Jarvis CRM
Vendor and Purchase Order
Zoho CRM
Contacts (as Vendor type) or Custom Module
lossyJarvis ERP module vendor records and purchase orders are ERP-class data that Zoho CRM handles differently depending on the customer's Zoho license. We map vendor records to Zoho CRM Contacts with a Vendor_Type__c custom picklist field set to 'Vendor'. Purchase orders map to a custom Purchase_Order__c module with Line Items if the customer has Zoho CRM Enterprise or Ultimate. If the customer uses Zoho Books separately, we flag the Vendor and PO import for alignment with the Zoho Books chart of accounts.
Jarvis CRM
Product and Service
Zoho CRM
Products
1:1Jarvis product and service catalog records map to Zoho CRM Products. We extract item name, SKU, unit price, and description from the FileMaker Products table. Product-to-Opportunity associations are preserved by exporting the linking table and reconstructing them as Deal Product records during the Deal import phase. Standard pricing for each Product2 record is created via the Price Books import.
Jarvis CRM
Custom Properties
Zoho CRM
Custom Fields (per module)
lossyJarvis is built on FileMaker Pro and is fully customizable, meaning every deployment has custom fields that do not exist in a standard schema. We identify all custom properties during the mandatory schema audit, classify each by data type (text, number, date, picklist, checkbox), and pre-create matching custom fields in the relevant Zoho CRM module before any data import begins. Fields with no Zoho equivalent are flagged in the scope document with a recommendation for a Zoho custom field or a JSON blob in a notes field.
Jarvis CRM
Attachment
Zoho CRM
Attachments (Zoho CRM native)
1:1File attachments stored within the FileMaker instance can be exported, but the storage format and path vary by deployment. We identify attachment storage locations during scoping, extract files to a flat directory, and link them to the corresponding Zoho CRM record (Contact, Account, Deal) via the Zoho CRM Attachments API using the record ID and module name as the lookup key. Files without a resolvable parent record are held in a staging folder for manual review.
Jarvis CRM
User and Owner Assignment
Zoho CRM
User
1:1Jarvis User records and ACL data map to Zoho CRM Users. We extract the FileMaker user table and match by email address to Zoho CRM User records. Any Jarvis Owner without a corresponding Zoho CRM User is placed in a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignments on Contacts, Accounts, and Deals are resolved via the email-to-UserId lookup during import.
Jarvis CRM
FileMaker Relational Links
Zoho CRM
Zoho CRM Lookup Relationships
lossyFileMaker stores relationships as internal table links (Contact IDs, Company IDs, Project IDs) that are not visible in a CSV export. We export primary keys and foreign keys from all relevant tables, then reconstruct the relational structure in Zoho CRM using explicit lookup field resolution during import. For example, a Contact-to-Company link in FileMaker becomes an AccountId lookup on the Contact record in Zoho CRM. We do not use name-matching to infer relationships; all links are resolved via the exported ID keys.
| Jarvis CRM | Zoho CRM | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Deals1:1 | Fully supported | |
| Project | Tasks or Deals (Projects module)1:many | Fully supported | |
| Time Entry | Custom Time Tracking Fieldslossy | Fully supported | |
| Campaign and Contact Group | Campaign1:1 | Fully supported | |
| Vendor and Purchase Order | Contacts (as Vendor type) or Custom Modulelossy | Fully supported | |
| Product and Service | Products1:1 | Fully supported | |
| Custom Properties | Custom Fields (per module)lossy | Mapping required | |
| Attachment | Attachments (Zoho CRM native)1:1 | Fully supported | |
| User and Owner Assignment | User1:1 | Mapping required | |
| FileMaker Relational Links | Zoho CRM Lookup Relationshipslossy | 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
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Schema audit and extraction planning
We connect with the customer's FileMaker host (coordinating with The Scarpetta Group if required) to conduct a schema audit of the live FileMaker instance. We identify all tables in use, all custom fields (with data types and sample values), all relationship links between tables, and all active FileMaker scripts that represent business logic. The output is a written schema map and extraction plan that defines the export order (parent tables before child tables), the fields to extract from each table, and the primary key and foreign key columns to preserve for relational reconstruction.
Data export and staging
We extract data from the FileMaker instance in CSV format, one table at a time, preserving the internal IDs as a dedicated column in each export. We export related tables in dependency order: Company (parent) before Contact (child), Account (parent) before Deal (child). Each CSV is staged in a secure environment with a manifest listing row count, column count, and ID coverage. We flag any records with missing required fields, duplicate IDs, or malformed data at this stage and return a data quality report to the customer for cleansing before import begins.
Zoho CRM schema provisioning
We configure the Zoho CRM destination org before any data import. This includes enabling modules (Leads, Accounts, Contacts, Deals, Campaigns, Tasks), creating custom fields to match every non-standard field in the FileMaker export, configuring lookup relationships between modules (Account-Contact, Account-Deal), setting up picklist values that match FileMaker value lists, and creating a migration-specific Zoho user account with API and bulk import permissions. All provisioning is done in a Zoho Sandbox or the production org based on the customer's preference.
Parent record import and owner reconciliation
We import parent records first: Accounts (from Companies), Users (from FileMaker Owners), and Products. Each import resolves the FileMaker internal ID to a Zoho CRM record ID that child records reference as a foreign key. Owner resolution matches FileMaker owner email to Zoho CRM User email. Any FileMaker owner without a matching Zoho User is placed in a reconciliation queue for the customer's admin to provision before record import resumes. This step must complete before any child record import because Zoho CRM enforces referential integrity on required lookup fields.
Child record import with relational resolution
We import Contacts, Leads, Deals, Campaigns, and Tasks using the FileMaker ID-to-Zoho-ID mapping table built during the parent record step. Relationships (Contact-to-Account, Deal-to-Account, Deal-to-Contact) are resolved using the Zoho API upsert with external IDs set to the original FileMaker IDs. Time entries, vendor records, and custom properties import last in dependency order. Each phase emits a row-count reconciliation report comparing the FileMaker source count to the Zoho destination count.
Cutover, validation, and workflow rebuild handoff
We freeze FileMaker writes during the cutover window, run a final delta import of any records modified during migration, then enable Zoho CRM as the system of record. We deliver the custom script and workflow inventory document to the customer's admin team with Zoho Workflow Rule and Blueprint equivalents noted. We support a one-week hypercare window to resolve any data reconciliation issues reported by users. We do not rebuild FileMaker scripts as Zoho Workflow Rules inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Jarvis CRM
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Zoho CRM.
Object compatibility
1 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
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