CRM migration
Field-level mapping, validation, and rollback between Jarvis CRM and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Jarvis CRM
Source
HighLevel
Destination
Compatibility
8 of 10
objects map 1:1 between Jarvis CRM and HighLevel.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Jarvis CRM to GoHighLevel is an architectural shift from a per-customer FileMaker Pro instance with no published API to a cloud-native all-in-one marketing and CRM platform. There is no REST endpoint to call on the source side, so we work with the customer's FileMaker host to run export scripts or access tables directly, then reconstruct the relational links between Contact IDs, Company IDs, and Project IDs before importing into GoHighLevel. We map Contacts to GoHighLevel Contacts, Companies to Companies, and Opportunities to Opportunities with the pipeline stage values recreated in the GoHigh Opportunities app. Custom fields identified during the schema audit migrate to GoHighLevel custom fields scoped per object. We do not migrate FileMaker scripts, automations, or ERP module workflows; these require manual rebuild in GoHighLevel's Workflow builder. Time entries, vendor records, and project task dependencies are flag items requiring the customer's admin to decide whether to create GoHighLevel Custom Objects or document them for manual re-entry.
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 HighLevel, 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
HighLevel
Contact
1:1Jarvis Contact records extract via FileMaker export scripts or direct table access using the contact's primary key. We preserve the contact ID as an external reference field for relationship audit. Standard fields (First Name, Last Name, Email, Phone, Address) map directly. Any custom contact properties identified during the schema audit migrate to GoHighLevel custom fields scoped to the Contact object. Owner assignment maps to GoHighLevel User by email match.
Jarvis CRM
Company
HighLevel
Company
1:1Jarvis Company records map to GoHighLevel Companies. Company ID is preserved as an external reference. We resolve the Account-Contact relationship at import time using the foreign key stored in the FileMaker table rather than name-matching. Any custom company properties migrate to GoHighLevel custom fields on the Company object.
Jarvis CRM
Opportunity
HighLevel
Opportunity
1:1Jarvis Opportunity records map to GoHighLevel Opportunities. Pipeline stage names from Jarvis (which vary per deployment) map to GoHighLevel pipeline stage values that we configure before migration. Deal value, close date, owner assignment, and associated contacts carry over directly. We use GoHighLevel's Opportunities API with batch chunking to handle volumes over 500 records.
Jarvis CRM
Pipeline
HighLevel
Pipeline (GoHighLevel Opportunities app)
lossyEach distinct sales stage sequence in Jarvis becomes a GoHighLevel pipeline. We configure the pipeline stages, stage order, and stage probabilities before Opportunity import. Stage names from the source FileMaker instance are recreated verbatim so that historical pipeline reporting reflects the original labels.
Jarvis CRM
Project
HighLevel
Custom Object or Opportunity
1:1Jarvis Project records (Gantt, templates, task structures) do not have a native equivalent in GoHighLevel's standard object model. We flag Projects as a migration decision item: customers may choose to create a GoHighLevel Custom Object named Projects with custom fields (Project Name, Start Date, End Date, Status, Assignee) or to link Projects as Opportunities with a custom field indicating project type. GoHighLevel limits Custom Objects to 10 per sub-account. We identify which approach fits the customer's workflow during scoping.
Jarvis CRM
Task and Activity
HighLevel
Task
1:1Jarvis task flows and activity records (follow-ups, assignments, activity timestamps) map to GoHighLevel Tasks. Activity type (call, meeting, note, general task) maps to GoHighLevel's Task Category or custom fields. Owner assignment migrates by resolving the Jarvis user's email to a GoHighLevel User. Activity dates and descriptions preserve. The exact schema depends on how the deployment has structured activities in FileMaker, which we identify during the schema audit.
Jarvis CRM
User / Owner
HighLevel
User
1:1Jarvis user records and record-level ownership extract from FileMaker ACL and ownership fields. We match Jarvis users to GoHighLevel Users by email address. Any Jarvis owner without a matching GoHighLevel User goes to a reconciliation queue for the customer's admin to provision before record import. We do not provision GoHighLevel users; that is a permission the customer's admin controls.
Jarvis CRM
Custom Properties
HighLevel
Custom Fields
lossyEvery Jarvis deployment has custom fields unique to its FileMaker schema. During the schema audit we identify every custom field and classify it by object (Contact, Company, Opportunity). We pre-create the corresponding GoHighLevel custom fields before any data import. Fields with no equivalent in GoHighLevel are flagged as unmapped and documented for the customer's admin to review.
Jarvis CRM
Time Entry
HighLevel
Custom Object or Opportunity Line
1:1Jarvis time tracking records (billable and non-billable hours linked to projects, contacts, or vendors) have no direct GoHighLevel equivalent. If the customer needs to preserve time data, we create a Custom Object named Time Entries with fields for Date, Hours, Billable flag, and linked Contact or Project. If the customer does not need time tracking in GoHighLevel, we export the data and deliver it as a structured CSV for reference. Custom Object availability is limited to 10 per sub-account.
Jarvis CRM
Vendor and PO
HighLevel
Custom Object or Company
1:1Jarvis ERP vendor records and purchase order data have no native GoHighLevel equivalent. If the customer maintains vendor relationships for project billing or service procurement, we map Vendors to a Custom Object named Vendors with fields for Vendor Name, Contact Info, and PO Reference. If the customer does not need vendor management in GoHighLevel, we export the data as a structured CSV. Companies and Vendors are often confused in migration; we clarify the distinction during scoping.
| Jarvis CRM | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Pipeline (GoHighLevel Opportunities app)lossy | Fully supported | |
| Project | Custom Object or Opportunity1:1 | Fully supported | |
| Task and Activity | Task1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Custom Properties | Custom Fieldslossy | Mapping required | |
| Time Entry | Custom Object or Opportunity Line1:1 | Fully supported | |
| Vendor and PO | Custom Object or Company1:1 | 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
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Schema audit and scoping
We coordinate with the customer's FileMaker host to access the live FileMaker instance. We document every table, field, relationship, and custom property in use. We identify the primary keys and foreign keys that maintain relational integrity (Contact IDs, Company IDs, Project IDs, Owner IDs). We produce a written schema map showing each source table, its GoHighLevel destination object, the field mappings, and any fields with no destination equivalent. The customer signs off on the schema map before extraction begins.
FileMaker export coordination
We work with the customer's FileMaker host to export data from each table. We use FileMaker export scripts or direct table access to extract Contacts, Companies, Opportunities, Activities, Projects, Time Entries, and any custom tables identified in the schema audit. We export primary keys and foreign keys alongside data fields to preserve relational links. The customer grants explicit permission and provides technical access to the FileMaker Server for this phase. We do not proceed without confirmed export access.
Data transformation and relationship reconstruction
FileMaker exports typically flatten relationships into separate columns (e.g., Contact table includes a CompanyID column). We transform the flat export into structured import payloads for GoHighLevel. We resolve foreign keys: every Contact's CompanyId resolves to a GoHighLevel Company ID before Contact import, every Opportunity's ContactId and OwnerId resolve before Opportunity import. We apply data type conversions (date formats, phone number normalization, picklist standardization). Any custom fields that have no GoHighLevel equivalent are flagged and documented for the customer's admin.
GoHighLevel configuration
Before any data loads, we configure the GoHighLevel destination: custom fields are created per object, pipeline stages are defined to match the source labels, and any required Custom Objects are provisioned (within the 10-per-sub-account limit). We create the custom fields via the GoHighLevel API using the custom_fields endpoint. We validate the configuration in a test sub-account or sandbox before production data loads begin.
Production migration in dependency order
We run the production migration in record-dependency order: Companies (first because Contacts and Opportunities reference them), Contacts (with Company ID resolved), Opportunities (with Contact ID and Owner ID resolved), Activities and Tasks (linked to the migrated Contact and Opportunity records), then Custom Objects (Projects, Time Entries, Vendors if applicable). We use GoHighLevel's REST API with batch chunking and handle rate limits with exponential backoff. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation inventory handoff
We freeze writes in Jarvis during cutover and run a final delta migration of any records modified during the migration window. We deliver the complete automation inventory document listing every FileMaker script and Jarvis automation with its logic description and a GoHighLevel Workflow equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild FileMaker scripts or automations as GoHighLevel Workflows inside the migration scope; that is a separate engagement for the customer's admin or a GoHighLevel implementation partner.
Platform deep dives
Jarvis CRM
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 HighLevel.
Object compatibility
2 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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