CRM migration
Field-level mapping, validation, and rollback between Jarvis CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Jarvis CRM
Source
Pipedrive
Destination
Compatibility
7 of 12
objects map 1:1 between Jarvis CRM and Pipedrive.
Complexity
CModerate
Timeline
4-8 weeks
Overview
Moving from Jarvis CRM to Pipedrive is a structural migration that begins with FileMaker extraction rather than an API pull. Jarvis CRM has no published REST API, so we work directly with the per-customer FileMaker instance to extract Contacts, Companies, Deals, Projects, Time Entries, and any custom fields your deployment uses. FileMaker exports flatten relational links between tables, so we extract primary and foreign keys from every relevant table and reconstruct the associations in Pipedrive using explicit parent-record lookups rather than name-matching. Pipedrive uses four core objects (People, Organizations, Deals, Activities) with custom fields available on each, but it does not support custom objects. Any Jarvis custom objects that do not map to a standard Pipedrive object require a disposition decision during scoping. We do not migrate FileMaker scripts, QuickBooks Online sync configurations, or ERP modules as these are platform-specific integrations with no Pipedrive equivalent. Pipedrive's sales-focused pipeline, activity tracking, and reporting replace the broader CRM/ERP functionality of Jarvis, and we deliver a written inventory of any automations requiring rebuild in Pipedrive's automation builder.
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 Pipedrive, 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
Pipedrive
Person
1:1Jarvis Contact records map directly to Pipedrive Person. We extract all standard fields (name, email, phone, address) via FileMaker export or direct table access, and map any custom contact fields to Pipedrive custom fields on the Person object. Email address serves as the primary dedupe key. Owner assignment extracts from the FileMaker ACL owner field and maps to a Pipedrive User by email match.
Jarvis CRM
Company/Account
Pipedrive
Organization
1:1Jarvis Company records map to Pipedrive Organization. The organization's domain_name or website field becomes the Organization's Website field and is used as a secondary dedupe key alongside the organization name. We export the full company table including any custom company fields and map them to Pipedrive custom fields on Organization. Organization is created before Person import so that the Person-Organization link is satisfied at insert time.
Jarvis CRM
Opportunity
Pipedrive
Deal
1:1Jarvis Opportunities map to Pipedrive Deals. Deal value (amount), stage, owner, expected close date, and associated contact/organization links migrate. Pipeline stage names from Jarvis are mapped to Pipedrive stage values in the destination pipeline, with stage probabilities adjusted to the nearest Pipedrive-allowed integer. The Person-Organization association on the deal migrates using the primary key links extracted from the FileMaker relational schema.
Jarvis CRM
Pipeline Stage
Pipedrive
Pipeline Stage
lossyEach Jarvis Opportunity pipeline becomes a Pipedrive Pipeline with its own stage values. We configure the pipeline and stages in Pipedrive before migration so that stage names map correctly and deal probability percentages transfer. If the Jarvis deployment uses custom pipeline stages beyond the standard, we map them explicitly to Pipedrive stage equivalents during scoping.
Jarvis CRM
Project
Pipedrive
Deal + Activity or Note
1:manyJarvis Projects do not have a direct Pipedrive equivalent. We assess the project structure during schema audit and typically map project records to Pipedrive Deals with project metadata in custom fields, and project task structures to Activity records linked to the parent Deal. If the project contains significant time-tracking data, billable hours migrate as custom fields on the Deal. Gantt layout data migrates as a JSON-formatted Note attachment. This is a disposition decision made during scoping based on the customer's use of the project module.
Jarvis CRM
Time Entry
Pipedrive
Activity (Task)
1:1Jarvis time entries (billable and non-billable hours linked to projects or contacts) migrate as Pipedrive Activities with a custom field for hours logged and another for billable/non-billable status. Time entry timestamps preserve the original recorded date for audit purposes. If the customer uses time entries primarily for billing rather than sales activity tracking, we document this as a separate reporting consideration and do not create activity timeline entries for non-billable internal time.
Jarvis CRM
Vendor
Pipedrive
Organization (tagged)
1:1Jarvis Vendor records map to Pipedrive Organizations with a custom field vendor_type__c set to Vendor. Purchase order and bill data associated with vendors migrate as Activity notes or as custom fields on the Organization record depending on volume and complexity. We flag any vendor-specific fields with no Pipedrive equivalent during schema audit for customer disposition.
Jarvis CRM
Custom Properties (per deployment)
Pipedrive
Custom Fields
lossyEvery Jarvis deployment has custom fields unique to that FileMaker instance. We conduct a mandatory schema audit before migration to identify every custom field on every object. Custom fields from Jarvis map to Pipedrive custom fields on the equivalent object (Person, Organization, Deal, Activity). Pipedrive supports custom fields of types including text, number, date, dropdown, checkbox, and address. Fields with types not supported in Pipedrive (e.g., multi-value relational fields from FileMaker) require a disposition decision: flatten to text, drop, or replace with a custom note.
Jarvis CRM
Marketing Campaign/Group
Pipedrive
Person Tags or Custom Field
lossyJarvis Campaign and Contact Group records migrate as Pipedrive Person tags or as a multi-select custom field on Person, depending on which approach provides better usability for the customer's sales workflow. Campaign metadata (name, status, start date) migrates as a custom field or as an Organization tag if the campaign was account-based. This is a scoping decision based on how the customer uses campaign data in Jarvis.
Jarvis CRM
Product and Service Catalog
Pipedrive
Product
1:1Jarvis Product and Service catalog records map to Pipedrive Products. Item names, descriptions, unit prices, and product codes migrate. Product-to-deal associations migrate as Deal-Product links using the product ID key extracted from the FileMaker product table and resolved at migration time. If Jarvis uses custom pricing tiers per product, these migrate as custom fields on the Pipedrive Product.
Jarvis CRM
Attachment
Pipedrive
File or Note
lossyFile attachments stored within the FileMaker instance can be exported, but attachment storage format and location vary by deployment. We identify attachment storage paths during scoping and include them in the migration scope if the files are accessible via FileMaker export or direct file access. Attachments migrate as Pipedrive file attachments linked to the parent record, or as Notes with file content if the attachment is text-based. Binary attachments (PDFs, images) are extracted and linked individually.
Jarvis CRM
User and Owner Assignment
Pipedrive
User
1:1User records and owner assignments on Jarvis records extract from the FileMaker ACL and record-level ownership fields. We map Jarvis users to corresponding Pipedrive users by email match. Any Jarvis owner without a matching Pipedrive user goes to a reconciliation queue for the customer's admin to provision the user before record import resumes. Owner assignment on deals, contacts, and organizations migrates by resolving the FileMaker owner key to the Pipedrive User record.
| Jarvis CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company/Account | Organization1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Project | Deal + Activity or Note1:many | Fully supported | |
| Time Entry | Activity (Task)1:1 | Fully supported | |
| Vendor | Organization (tagged)1:1 | Fully supported | |
| Custom Properties (per deployment) | Custom Fieldslossy | Mapping required | |
| Marketing Campaign/Group | Person Tags or Custom Fieldlossy | Fully supported | |
| Product and Service Catalog | Product1:1 | Fully supported | |
| Attachment | File or Notelossy | Fully supported | |
| User and Owner Assignment | User1:1 | 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
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
FileMaker access and schema audit
We coordinate with the customer's FileMaker host to obtain read access to the Jarvis FileMaker instance. During a one-to-two-week schema audit, we document every table in use, every field on each table, every custom field added by the Scarpetta Group, and every relational link between tables. We identify which objects are actively used (not just present) by sampling record counts. The audit output is a written schema map that forms the basis of the migration scope and the FileMaker extraction script we request from the customer's FileMaker administrator.
Disposition planning for custom objects and ERP modules
We review the schema audit results with the customer's admin to make disposition decisions for every object that does not map directly to a Pipedrive standard object. Custom FileMaker objects, project management data, vendor and purchase order records, and any time-entry data the customer wants in Pipedrive receive a disposition plan: map to object and custom fields, convert to a tagged subset, or exclude from migration with a written explanation. This step resolves the custom-object limitation before any data moves and prevents surprises at cutover.
Custom FileMaker extraction script coordination
We work with the customer's FileMaker administrator to run a custom export script that extracts all relevant tables in a normalized format (tab-delimited or XML) including primary keys, foreign keys, and all custom fields. If the administrator cannot produce the export directly, we provide a detailed export specification. We validate the export by spot-checking record counts, field presence, and relational key completeness before the extraction phase closes. Any export format issues are resolved here to avoid import errors later.
Pipedrive sandbox setup and schema configuration
We configure the destination Pipedrive account in a sandbox environment. This includes creating the Pipedrive pipeline and stages (mapped from the Jarvis pipeline), adding custom fields on Person, Organization, Deal, and Activity objects to receive custom data from FileMaker, and provisioning users to match the Jarvis owner records. Pipedrive's standard objects are created and validated before production migration begins. Custom field data types are matched to Pipedrive's supported types: text, number, date, dropdown, checkbox, and address.
Production migration in record dependency order
We run production migration in strict dependency order: Pipedrive Users (validated from the user provisioning step), Organizations (from Jarvis Companies), Persons (from Jarvis Contacts with OrganizationId resolved), Deals (from Jarvis Opportunities with OrganizationId and PersonId resolved), Activities (tasks, calls, meetings from Jarvis time entries and engagement records), Products (from Jarvis Product catalog), Deal-Product associations, and custom fields on each object. Each phase emits a row-count reconciliation report. File attachments migrate in the final phase and are linked to parent records by record ID.
Cutover, validation, and automation handoff
We freeze FileMaker writes during cutover, run a final delta migration of any records created or modified during the migration window, and hand off to the customer's Pipedrive admin. We deliver a written inventory of any Pipedrive automations requiring rebuild (sequences, workflow rules) and a mapping summary of every FileMaker custom field and its Pipedrive disposition. We support a one-week post-cutover validation window for reconciliation issues. We do not rebuild FileMaker scripts as Pipedrive automations inside the migration scope; that is a separate engagement.
Platform deep dives
Jarvis CRM
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Jarvis CRM and Pipedrive.
Object compatibility
4 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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