CRM migration

Migrate from Jarvis CRM to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Jarvis CRM and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Jarvis CRM logo

Jarvis CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

69%

9 of 13

objects map 1:1 between Jarvis CRM and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

6-10 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Jarvis CRM to Salesforce Sales Cloud is a multi-phase engineering project because Jarvis has no documented public API. Instead of calling a REST endpoint, we work with the customer's FileMaker host to extract Contacts, Companies, Opportunities, Projects, Time Entries, Vendors, and Custom Properties through FileMaker export scripts or direct table access. Every Jarvis deployment has a unique schema built on FileMaker's flexible table designer, so we begin every engagement with a mandatory schema audit to identify which objects are in use, which fields exist, and which are custom. We export primary and foreign keys from all relevant tables, reconstruct relational links in Salesforce using explicit association imports rather than name-matching, and load records in dependency order (Accounts first, then Contacts, then Opportunities, then Activity history) using the Salesforce Bulk API with rate-limit handling and parent-record lookup resolution. We do not migrate FileMaker scripts, custom FileMaker workflows, QuickBooks Online integration configurations, or the Gantt layout data as structured dependencies. We deliver a written inventory of any custom scripts or automation logic requiring rebuild in Salesforce Flow by the customer's admin.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Jarvis CRM logo

Jarvis CRM

What's pushing teams away

  • There is a learning curve with Jarvis, especially when navigating custom workflows or the FileMaker backend, and reviewers note it takes time to become fully comfortable with the system.
  • The platform lacks a publicly documented API, which limits automation options and makes integration with modern SaaS tools more difficult compared to REST-API-first CRMs.
  • Some users report difficulty finding consolidated views of all information entered into the system, suggesting the data architecture can fragment customer records across modules.
  • Customizations are billed separately from the base subscription and require discovery and development fees, which can surprise customers expecting all-inclusive pricing.
  • As a smaller niche CRM with limited market visibility, organizations concerned about vendor longevity or ecosystem scale may prefer platforms with larger user communities and more third-party integrations.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Jarvis CRM objects map to Salesforce Sales Cloud

Each row shows how a Jarvis CRM object lands in Salesforce Sales Cloud, 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

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Jarvis Contact records map to Salesforce Lead for unqualified prospect records and Salesforce Contact for qualified buyer records. We determine the split by evaluating the Contact's associated pipeline stage, lifecycle status (if present as a custom field), and relationship to any Jarvis Opportunity. Contacts with no Opportunity and no sales-qualified flag default to Salesforce Lead. Contacts linked to a closed-won or active Opportunity default to Salesforce Contact attached to a parent Account. We preserve the original Jarvis Contact ID as a custom field jarvis_contact_id__c on both Lead and Contact for audit reconciliation.

Jarvis CRM

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Jarvis Company records map directly to Salesforce Account. The Company name becomes Account Name; any industry classification field becomes Industry picklist; phone, website, and address fields map to standard Account fields. Account is created before Contact import so that the AccountId lookup relationship is satisfied at the moment of Contact insert. We resolve the Account ID from the jarvis_company_id__c reference during the Contact phase.

Jarvis CRM

Opportunity

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Jarvis Opportunity records map to Salesforce Opportunity with AccountId, OwnerId, and CloseDate resolved at migration time. The Jarvis deal value maps to Amount; deal stage maps to StageName with a mapping defined during scoping because Jarvis stage names are customer-specific. We configure Salesforce Record Types and Sales Processes to match the customer's Jarvis pipeline structure before migration begins.

Jarvis CRM

Project

maps to

Salesforce Sales Cloud

Custom Project object or Case

1:many
Fully supported

Jarvis Project records map to a Salesforce custom Project__c object pre-created during schema design. Task structures and assignees map to ProjectTask__c records linked to Project__c. Gantt layout metadata (start dates, durations, milestones) migrates as custom fields on Project__c; raw task dependency chains are documented as a text export because Salesforce native Gantt requires PSA or an AppExchange project management tool. If the customer does not license a PSA, Projects migrate as Cases with a custom Record Type for project tracking.

Jarvis CRM

Time Entry

maps to

Salesforce Sales Cloud

Time Sheet or Custom Time Entry object

1:1
Fully supported

Jarvis Time Entries (timecards and job-time records) map to a Salesforce custom Time_Entry__c object or to the standard Time Sheet object if the destination org includes Salesforce Health Cloud or a PSA. Billable and non-billable flags, hours, date, and linked Project or Contact references migrate as custom fields. Time_Entry_ID is preserved in jarvis_time_entry_id__c for audit trail. QuickBooks Online integration data (if live vendor billing exists in Jarvis) is flagged separately because it may belong in a financial system rather than Salesforce CRM.

Jarvis CRM

Vendor

maps to

Salesforce Sales Cloud

Account (with Vendor record type)

1:1
Fully supported

Jarvis Vendor records map to Salesforce Account with a Vendor record type to distinguish them from customer Accounts. PO data and payment histories migrate as custom fields or related custom objects on the Account. QuickBooks Online vendor data referenced in the Jarvis integration is identified during scoping and either migrated to Salesforce or flagged for reconciliation in the customer's QuickBooks instance.

Jarvis CRM

Product and Service

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

Jarvis Product and Service catalog records map to Salesforce Product2 with Standard Price Book entries created during import. Item names, prices, descriptions, and any custom product fields migrate to typed Salesforce fields. Product-to-Opportunity associations are preserved as OpportunityLineItem records with Pricebook2 and Product2 references resolved at migration time.

Jarvis CRM

Task and Activity

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Jarvis task flows and activity records (follow-ups, assignments, internal notes) map to Salesforce Task with Status, Priority, ActivityDate, and Subject preserved. Owner assignment migrates by resolving the Jarvis user reference to a Salesforce OwnerId via the User mapping. Activity records linked to Contacts or Opportunities carry WhoId and WhatId references resolved after the parent Contact and Opportunity are imported.

Jarvis CRM

Campaign and Group

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

Jarvis Campaign and contact group records map to Salesforce Campaign. Campaign metadata (name, type, start and end dates, budget) migrates to standard Campaign fields. Group membership lists migrate as Campaign Member records linked to the Campaign and the corresponding Leads or Contacts. Because Jarvis has no native marketing automation engine, campaign data is typically basic; we do not migrate engagement metrics as Activity records unless those metrics exist as explicit custom fields in the FileMaker schema.

Jarvis CRM

Custom Properties

maps to

Salesforce Sales Cloud

Custom Fields (__c)

lossy
Mapping required

Jarvis is built on FileMaker Pro and every deployment has custom fields that do not exist in a standard schema. We identify all custom properties during the mandatory schema audit, map each to a typed Salesforce custom field (Text, Number, Date, Picklist, Checkbox, or Lookup depending on the source field type), and pre-create the schema in Salesforce before data migration begins. Fields with no Salesforce equivalent are flagged in a written gap report for the customer's admin to decide on custom field creation or alternative handling.

Jarvis CRM

Attachment

maps to

Salesforce Sales Cloud

ContentDocument (Files)

1:1
Fully supported

File 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, export files in their native format, and upload them to Salesforce as ContentVersion records linked to the parent record via ContentDocumentLink. Attachment migration is scoped separately from record migration because FileMaker attachment handling requires per-deployment investigation.

Jarvis CRM

User and Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

User records and owner assignments on Jarvis records are extracted from the FileMaker ACL and record-level ownership fields. We map Jarvis users to corresponding Salesforce Users by email match. Any Jarvis Owner without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes. OwnerId references on Opportunities, Projects, and Tasks cannot be resolved until the User mapping is complete.

Jarvis CRM

Custom FileMaker Scripts

maps to

Salesforce Sales Cloud

Documentation Only

lossy
Fully supported

Jarvis custom scripts written by The Scarpetta Group are not migrated as executable code into Salesforce. We document every active custom script identified in the FileMaker instance, describing its trigger, logic, and the records it affects. This script inventory is delivered as a written document for the customer's Salesforce admin or a Salesforce implementation partner to rebuild equivalent logic in Salesforce Flow, Apex, or a third-party automation tool.

Gotchas + challenges

What specifically takes care here

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 logo

Jarvis CRM gotchas

High

No documented public API means migration requires FileMaker-native exports

High

FileMaker schema varies per deployment because the platform is fully customizable

Medium

Customizations are not included in base pricing and require separate engagement

Medium

Data relationships between FileMaker tables must be reconstructed manually

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Jarvis has no public API; migration requires FileMaker export coordination

    Jarvis CRM runs on a per-customer FileMaker Pro instance with no published REST API. We cannot use API-based migration tools or OAuth-connected connectors. Instead, we coordinate directly with the customer's FileMaker host to extract data via FileMaker export scripts or direct table access with the Scarpetta Group's technical team. This requires explicit customer permission and a FileMaker Server access window that we schedule during scoping. We do not assume API credentials exist and do not scope the project as if they do. This access requirement adds coordination time compared to API-first CRM migrations.

  • FileMaker schema varies per deployment; no two Jarvis instances are identical

    Every Jarvis deployment has a different field structure because the platform is fully customizable on FileMaker Pro. Standard CRM objects (Contacts, Opportunities) exist in most deployments, but custom fields and custom objects are unique per customer. We conduct a mandatory schema audit of the live FileMaker instance before migration begins, reviewing all table occurrences, field definitions, and relationship graph structures. We map every custom field individually and flag any that have no direct equivalent in Salesforce. This audit step adds one to two weeks to discovery but prevents mapping errors during production migration.

  • FileMaker relational links must be reconstructed from primary and foreign keys

    FileMaker Pro stores relational links within its own table schema (Contact IDs, Company IDs, Project IDs). A CSV export flattens these relationships into flat rows with ID references. We export primary keys and foreign keys from all relevant tables simultaneously, then reconstruct relationships in Salesforce using explicit association imports where AccountId, ContactId, and OpportunityId are set at insert time. We do not rely on name-matching alone to link records, which is unreliable across large datasets. If the FileMaker schema uses multi-hop relationships (Contact linked to Project through a junction table), we trace the relationship path and import in three phases to resolve the intermediate reference.

  • Salesforce field-level security and validation rules can block import silently

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that can reject records during import without warning. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set, API Enabled, and the relevant object permissions. We either temporarily disable validation rules during load (using a migration-context bypass) or extend validation rules with a CustomMetadata check that exempts migration imports. Skipping this step results in partial record rejection that may not surface until post-migration reconciliation.

  • QuickBooks Online integration data may belong in the ERP, not Salesforce

    Jarvis includes native QuickBooks Online integration that keeps accounting and vendor data synchronized between the FileMaker instance and QuickBooks. During schema audit, we identify which vendor records, purchase orders, and payment histories are mastered in QuickBooks versus Jarvis. If QuickBooks is the system of record for financial data, we migrate the vendor account reference to Salesforce but do not migrate transactional billing history that belongs in the ERP. This boundary is documented in the migration scope before any data moves.

Migration approach

Six steps for a successful Jarvis CRM to Salesforce Sales Cloud data migration

  1. Schema audit and scoping

    We connect with the customer's FileMaker host to conduct a full schema audit of the live Jarvis instance. We enumerate every table occurrence, field definition, relationship graph, and custom script in use. We identify which objects are actively populated (not just defined), which are custom, and which have inter-table dependencies. We also review the Salesforce destination org's current schema, existing custom objects, validation rules, and Record Types. The output is a written migration scope document with the object list, field map, and a dependency graph showing which records must be imported before others.

  2. FileMaker export coordination and relationship extraction

    We coordinate with the customer's FileMaker Server administrator and, if needed, The Scarpetta Group's technical team to run FileMaker export scripts across all in-use tables simultaneously. We export primary keys, foreign keys, and all data fields in parallel from Contacts, Companies, Opportunities, Projects, Time Entries, Vendors, Products, Activities, and any custom tables. We receive the export as CSV or FileMaker-native format and immediately validate record counts against what the schema audit reported. Any discrepancy triggers a re-audit before mapping begins.

  3. Destination schema pre-creation in Salesforce Sandbox

    We deploy the destination schema into a Salesforce Sandbox (Full Copy or Partial Copy) using the metadata API or change set. This includes provisioning custom objects and fields (__c API names matched to Jarvis custom field names), Record Types and Sales Processes scoped to the Jarvis pipeline structure, Page Layouts per Record Type, and any custom picklist values referenced in the field map. Validation rules are documented and flagged for potential suspension during import. The Sandbox migration serves as the reconciliation baseline before any production data moves.

  4. Owner reconciliation and User provisioning

    We extract every distinct user referenced in the Jarvis export as an Owner or assigned user and match by email against the Salesforce destination org's User table. Any Jarvis user without a matching Salesforce User is added to a reconciliation queue. The customer's Salesforce admin provisions missing Users (active for current employees, inactive for departed users whose records need to be preserved). Migration cannot proceed past this step because OwnerId references are required on Opportunity, Project, and Task records.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Companies), Contacts (with AccountId resolved and Lead-Contact split applied), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries, Project records (or Case records), Time Entries, Activity history (Tasks via Bulk API 2.0 with WhoId and WhatId resolution), Vendors, Attachments (ContentDocument upload), and Custom Objects last (because they may have lookups to any of the preceding objects). Each phase emits a row-count reconciliation report. Bulk API 2.0 handles chunking and exponential backoff on rate-limit responses.

  6. Cutover, delta sync, and automation rebuild handoff

    We freeze Jarvis writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the custom script inventory document describing every active FileMaker script and its recommended Salesforce Flow or Apex equivalent. We do not rebuild FileMaker custom scripts as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task. We support a one-week hypercare window to resolve record-level reconciliation issues surfaced by the customer's team.

Platform deep dives

Context on both ends of the pair

Jarvis CRM logo

Jarvis CRM

Source

Strengths

  • Integrated CRM and ERP functionality covering sales, projects, HR, and accounting in one platform
  • Fully customizable FileMaker Pro foundation allows per-business workflow adaptation
  • Per-customer isolated instance provides dedicated data separation and hosting control
  • Includes native QuickBooks Online and Google integrations without requiring third-party connectors
  • Cross-platform access across Mac, Windows, iOS, and web browsers

Weaknesses

  • No publicly documented REST API limits migration options and third-party integrations
  • Small market footprint with limited community resources and few third-party app integrations
  • Customizations are separate from base pricing, adding cost complexity for tailored deployments
  • Learning curve for administrators managing the FileMaker Pro backend
  • Case studies and review volume are limited compared to major CRM platforms
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Jarvis CRM and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Jarvis CRM: Not publicly documented.

  • Data volume sensitivity

    B

    Jarvis CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Jarvis CRM to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Jarvis CRM to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Jarvis CRM to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between six and ten weeks for accounts under 10,000 total records with a clean schema audit and no custom objects. Migrations with multiple custom objects, large time-entry histories (over 200,000 records), complex multi-hop FileMaker relationships, or a destination org spanning Sales Cloud plus PSA move to fourteen to twenty-two weeks because of FileMaker export coordination time, relationship reconstruction passes, and schema pre-creation. The schema audit step alone adds one to two weeks compared to API-first CRM migrations.

Adjacent paths

Related migrations to explore

Ready when you are

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