CRM migration
Field-level mapping, validation, and rollback between Jarvis CRM and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Jarvis CRM
Source
monday CRM
Destination
Compatibility
7 of 9
objects map 1:1 between Jarvis CRM and monday CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Jarvis CRM to Monday.com CRM is a structural migration from a per-customer FileMaker Pro instance into a cloud-native Work OS with a CRM layer. There is no REST API on the Jarvis side, so every migration begins with a FileMaker-native export scoped to the customer's live deployment. We audit the custom field structure during that export phase, map every standard and custom object to Monday.com board columns and CRM entities, and resolve relationship keys (contact IDs, company IDs, project IDs) using explicit foreign-key reconstruction rather than name-matching. Monday.com does not offer an ERP module, so ERP-layer objects from Jarvis — vendor records, purchase orders, time entries, and QuickBooks Online data — are flagged explicitly as candidates for separate handling. Automations, FileMaker scripts, and custom FileMaker Pro layouts do not migrate; we deliver a written map of every active workflow for the customer's admin to rebuild in Monday.com Automations or the Integrations hub.
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 monday 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
monday CRM
People (CRM entity)
1:1Jarvis Contact records map to Monday.com CRM People entities. We extract via FileMaker export using the contact's primary key and preserve all standard fields (name, email, phone, address). Custom contact fields require per-instance mapping during the schema audit. The contact-to-company relationship resolves via the Jarvis contact's company_id foreign key, which we link to the Monday.com CRM Company record using explicit ID association rather than name-matching to prevent duplicates.
Jarvis CRM
Company
monday CRM
Company (CRM entity)
1:1Jarvis Company records map to Monday.com CRM Company entities. We extract the full company table from FileMaker including any custom company fields. The company record is created before any related Contact import so that the People-to-Company relationship is satisfied at the moment of People insert. Company-level fields like industry, website, and address map directly to Monday.com CRM Company properties.
Jarvis CRM
Opportunity
monday CRM
Deal (CRM entity)
1:1Jarvis Opportunity records map to Monday.com CRM Deals. We extract deal values, stage names, owner assignment, expected close date, and associated contacts. Pipeline stage names vary per Jarvis deployment, so we map each stage to a Monday.com CRM Deal Status value during the schema audit phase. The contact-opportunity linking is preserved via the deal's associated contact IDs resolved against the imported People records.
Jarvis CRM
Project
monday CRM
Board (Work Management)
1:manyJarvis Project records with task structures, assignees, and Gantt layout metadata map to Monday.com Work Management boards. We create one board per Jarvis project, with tasks as board items, groups as task groupings, and assignees mapped to Monday.com users by email. Gantt layout data migrates as metadata notes; raw task dependency chains are documented as a Monday.com dependencies column configuration since the dependency model differs between platforms.
Jarvis CRM
Tasks and Activities
monday CRM
Board Items (Work Management)
1:1Jarvis task flows and activity records map to Monday.com board items on the corresponding project board. We extract activity timestamps, owners, linked contacts or deals, and status. Activity history from Jarvis is preserved as board item updates with original timestamps. Because Monday.com's activity model differs from a traditional CRM activity log, we document the timeline mapping for the customer to configure a dedicated Activity board if full engagement history visibility is required.
Jarvis CRM
Vendor Record
monday CRM
Board Item (tagged Vendors)
1:1Jarvis vendor records from the ERP module have no direct Monday.com CRM equivalent. We map vendors to a dedicated Board in Work Management with a Vendor label and custom columns for vendor contact details, payment terms, and associated purchase orders. The customer decides whether vendor management continues in Monday.com or in a separate accounting tool.
Jarvis CRM
Time Entry
monday CRM
Board Item (Work Management)
1:1Jarvis time entries linked to projects or contacts are mapped to a Time Tracking board in Monday.com Work Management. Billable hours, time entry dates, and linked project or contact references migrate as custom columns. Note that Monday.com does not have native payroll or ERP-level time tracking, so this board serves as a record of historical time data rather than an active time-tracking tool.
Jarvis CRM
Purchase Order
monday CRM
Board Item (tagged Purchase Orders)
1:1Jarvis purchase orders and bill records are mapped to a dedicated Purchase Orders board in Monday.com Work Management. PO numbers, vendor references (linked to the Vendor board items), amounts, and status migrate as columns. This is a historical record migration; active PO workflows require rebuild in Monday.com Automations or an accounting integration.
Jarvis CRM
Custom Properties
monday CRM
Custom Fields / Custom Columns
lossyJarvis FileMaker Pro deployments carry custom fields unique to each customer's deployment. We identify every custom property during the schema audit, map text and numeric custom fields to Monday.com custom columns, map date fields to Date columns, and map checkbox or multi-select fields to Status or Dropdown columns. Custom fields with no Monday.com equivalent are flagged in the scope document for the customer to decide whether to create a new column or drop the field.
| Jarvis CRM | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People (CRM entity)1:1 | Fully supported | |
| Company | Company (CRM entity)1:1 | Fully supported | |
| Opportunity | Deal (CRM entity)1:1 | Fully supported | |
| Project | Board (Work Management)1:many | Fully supported | |
| Tasks and Activities | Board Items (Work Management)1:1 | Mapping required | |
| Vendor Record | Board Item (tagged Vendors)1:1 | Fully supported | |
| Time Entry | Board Item (Work Management)1:1 | Fully supported | |
| Purchase Order | Board Item (tagged Purchase Orders)1:1 | Fully supported | |
| Custom Properties | Custom Fields / Custom Columnslossy | Mapping required |
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
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and FileMaker export coordination
We begin by establishing technical access to the customer's FileMaker Server instance. We review the FileMaker schema against the customer's deployment to identify which objects are active (Contacts, Companies, Opportunities, Projects, Time Entries, Vendors, Purchase Orders) and which are custom fields or custom objects. We coordinate with the FileMaker host to schedule FileMaker-native exports of each table, including primary keys and foreign keys for relationship reconstruction. The discovery output is a written scope confirming object inventory, record counts, custom field list, and relationship map.
Schema audit and Monday.com board design
We audit the FileMaker export output to confirm all fields and relationships. We then design the Monday.com workspace: CRM entities (People, Companies, Deals) for the sales layer, Work Management boards for Projects and ERP-layer records. We map every custom FileMaker field to a Monday.com column type, flag any with no Monday.com equivalent, and present the mapping document to the customer for sign-off. We also configure Monday.com user provisioning by matching FileMaker owner email addresses to Monday.com user accounts.
Data extraction, deduplication, and transformation
We extract all tables from FileMaker as structured datasets with relationship keys preserved. We run deduplication on Contacts and Companies using email and domain as the dedupe key, flagging duplicates for the customer to resolve before import. We transform field values to match Monday.com column types — date formats, picklist values, and multi-select fields are normalized. Custom field values that cannot map to a standard Monday.com type are placed in a Long Text column with the original value preserved for the customer to reclassify post-migration.
Monday.com workspace configuration
We configure the Monday.com workspace before data import: CRM entities (People, Companies, Deals) are activated, Work Management boards are created with the correct column structure, and user access is provisioned. We create the Deals board with the pipeline stages mapped from Jarvis's opportunity stages. We set up the ERP-layer boards (Vendors, Purchase Orders, Time Tracking) if the customer has elected to migrate those records. Owner assignment and team permissions are configured to match the FileMaker ACL structure.
Data import in dependency order with reconciliation
We import data in dependency order: Companies first, then People (with company lookup resolved via the company_id foreign key), then Deals (with contact and owner lookups resolved), then Projects and their task items, then ERP-layer records. Each import phase emits a row-count reconciliation report. We validate that the number of records imported matches the number extracted from FileMaker, and that relationship counts (contacts per company, deals per contact) are preserved. Any rejected records are logged and corrected in the next import iteration.
Cutover, final reconciliation, and automation handoff
We freeze FileMaker writes during cutover and run a final delta import of any records modified during the migration window. We validate the Monday.com workspace against the original FileMaker record counts and relationship totals. We deliver the FileMaker script inventory and workflow map to the customer's admin team with Monday.com Automation equivalents for each active script. We support a one-week hypercare window for reconciliation issues. We do not rebuild FileMaker Pro scripts as Monday.com Automations inside the migration scope; that work is a separate engagement.
Platform deep dives
Jarvis CRM
Source
Strengths
Weaknesses
monday 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 monday 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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FAQ
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