CRM migration
Field-level mapping, validation, and rollback between Workiz and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Workiz
Source
Salesforce Sales Cloud
Destination
Compatibility
8 of 8
objects map 1:1 between Workiz and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Workiz is a field service management platform built around Jobs, Clients, Estimates, and Invoices. Salesforce Sales Cloud is a CRM built around Accounts, Contacts, Leads, and Opportunities. The migration challenge is translating Workiz's job-centric operational model into Salesforce's relationship-centric CRM model. We create a custom Work Order object in Salesforce to hold job-level data (type, status, priority, schedule, technician assignment, amount) that has no native Salesforce equivalent. Clients map to Accounts with addresses preserved. Estimates map to Opportunities with the estimate ID stored for reference. Invoices map to Orders with payment status tracked. All custom fields from Workiz migrate as Salesforce custom fields on the Work Order object. Workiz automations cannot migrate — we export them as a rebuild reference for your Salesforce admin to implement in Flow. The migration uses Workiz's API and flat-file exports; Salesforce receives the data via Bulk API. Original create dates and modification timestamps are preserved as custom datetime fields since Salesforce's native CreatedDate reflects the migration import, not the original record creation.
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 Workiz 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.
Workiz
Job
Salesforce Sales Cloud
Work Order (custom object)
1:1Workiz Jobs are the core operational record in field service. Salesforce has no native Work Order object without Field Service Lightning, which is a separate paid add-on. FlitStack AI creates a Work Order custom object in your Salesforce org and maps every Workiz job field to it, including job_type, status, priority, schedule_date, assigned_tech, client_name, address, amount, and original create/update timestamps. Scheduling and GPS data are stored as custom fields on the Work Order; full dispatch-board functionality requires Salesforce Field Service Lightning post-migration.
Workiz
Client
Salesforce Sales Cloud
Account
1:1Workiz Clients map directly to Salesforce Accounts — name, phone, email, billing address, and website all have standard Salesforce Account fields. Workiz allows multiple addresses per client; Salesforce Account stores a single primary address plus shipping address. When Workiz clients have multiple locations, FlitStack AI creates a primary Account and optionally creates additional Location records or child Accounts for address parity.
Workiz
Lead
Salesforce Sales Cloud
Lead
1:1Workiz Leads (distinct from Clients) map directly to Salesforce Leads. Name, email, phone, source, and notes carry over as standard Lead fields. Workiz lead status values (New, Contacted, Qualified, Converted) map to Salesforce Lead Status via value mapping. Workiz leads that are already paying clients may be better routed as Contacts under Accounts post-migration — your admin decides the routing rule.
Workiz
Estimate
Salesforce Sales Cloud
Opportunity
1:1Workiz Estimates map to Salesforce Opportunities because both represent a potential revenue event with amount, client association, and stage. The Workiz estimate ID is stored in a custom text field (Original_Estimate_ID__c) for auditability. Estimate line items (Workiz Items) require either Opportunity Products with Price Book entries or custom fields on the Opportunity, depending on your pipeline complexity — FlitStack advises on this before migration runs.
Workiz
Invoice
Salesforce Sales Cloud
Order
1:1Workiz Invoices map to Salesforce Orders because both represent a billing event tied to an Account or Opportunity. Workiz tracks invoice status (Draft, Sent, Paid, Partially Paid, Unpaid, Void); these map to Salesforce Order Status values. Workiz's total amount, balance due, and last payment date migrate as custom currency and datetime fields on the Order. Workiz tax_rate and discount_amount become custom fields since Salesforce Order does not have native tax or discount fields.
Workiz
Attachment / File
Salesforce Sales Cloud
Salesforce Files
1:1Workiz file attachments (photos of completed jobs, signed documents, PDF invoices) migrate to Salesforce Files attached to the corresponding Work Order or Account record. Workiz stores attachments as blobs; FlitStack extracts and re-uploads them to Salesforce Files. Salesforce imposes a 25MB per-file limit — any Workiz attachments exceeding this require compression or chunking before upload.
Workiz
Custom fields (on any Workiz object)
Salesforce Sales Cloud
Custom fields on Work Order / Account
1:1Workiz supports custom fields on Jobs, Clients, Leads, Estimates, and Invoices. All custom field values migrate as Salesforce custom fields (suffix __c) on the corresponding object. Workiz custom field types (text, number, pick-list, date, checkbox) map to equivalent Salesforce custom field types. Pick-list value mapping is required when Workiz pick-list values differ from Salesforce pick-list values — FlitStack documents every pick-list discrepancy before migration runs.
Workiz
Created date / Updated date (all objects)
Salesforce Sales Cloud
Original_Create_Date__c / Original_Modified_Date__c (custom datetime)
1:1Workiz records carry original create and last-modified timestamps. Salesforce's native CreatedDate and LastModifiedDate reflect the migration import, not the original record creation. FlitStack preserves all original Workiz timestamps as custom datetime fields on each Salesforce object so reporting continuity is maintained and historical job completion times remain accurate in Salesforce reports.
| Workiz | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Job | Work Order (custom object)1:1 | Fully supported | |
| Client | Account1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Estimate | Opportunity1:1 | Fully supported | |
| Invoice | Order1:1 | Fully supported | |
| Attachment / File | Salesforce Files1:1 | Fully supported | |
| Custom fields (on any Workiz object) | Custom fields on Work Order / Account1:1 | Fully supported | |
| Created date / Updated date (all objects) | Original_Create_Date__c / Original_Modified_Date__c (custom datetime)1:1 | 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.
Workiz gotchas
QuickBooks Online sync conflict during job import
Automations do not export or migrate
Jobs and estimates imported as separate flat files can create duplicates
GPS location history and call recordings are not exportable
User permissions and roles do not transfer
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Stand up Salesforce Work Order schema first
Before any data moves, FlitStack AI creates the Work Order custom object and all required custom fields in your Salesforce org based on the Workiz-to-Salesforce field mapping. We deliver a schema setup plan listing every custom field to create (with Salesforce API names and pick-list values), the estimated number of record types if different teams need different Work Order page layouts, and a recommendation on whether Field Service Lightning is appropriate. Your Salesforce admin reviews and approves the schema plan; FlitStack then creates the fields using the Salesforce Metadata API.
Extract Workiz data via API and flat-file exports
FlitStack AI extracts data from Workiz using their API and flat-file export tools. We pull Clients, Jobs, Leads, Estimates, Invoices, and all associated custom field values. File attachments are extracted separately as binary blobs for re-upload to Salesforce Files. The extraction phase typically takes 1-3 days depending on record count. We validate the export completeness by comparing record counts against Workiz's own reporting before proceeding to mapping.
Run a sample migration with field-level diff
A representative sample (typically 50-100 records spanning multiple clients, jobs, and invoices) migrates first. FlitStack generates a field-level diff showing every mapped field, its source value in Workiz, and its destination value in Salesforce. You verify that job_type maps correctly, client-to-Account lookups resolve, technician assignments find the right Salesforce users by email, and timestamps preserve the original Workiz dates. Any mapping errors are corrected before the full migration runs.
Full migration with delta-pickup window
The full migration runs against Salesforce using the Bulk API for high-volume record insertion. A delta-pickup window (24-48 hours) captures any Workiz records created or modified during the cutover period so the Salesforce org reflects Workiz's final state at go-live. All Workiz IDs are stored as custom external ID fields on every Salesforce record for traceability. FlitStack generates a post-migration reconciliation report showing record counts by object, any records that failed to migrate, and the reason for each failure.
Export Workiz automations for Salesforce Flow rebuild
Workiz automations are exported as a structured reference document listing every active automation rule, its trigger conditions, actions, and any AND/OR logic branches. This document is handed to your Salesforce admin or consultant to rebuild in Flow. FlitStack does not configure Salesforce Flow — that is a separate configuration engagement — but the export eliminates the need to manually document Workiz automations from scratch. The audit log records every migration operation; one-click rollback is available if reconciliation reveals systemic mapping failures.
Platform deep dives
Workiz
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Workiz and Salesforce Sales Cloud.
Object compatibility
3 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
Workiz: Not publicly documented.
Data volume sensitivity
Workiz 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.
Category
FAQ
Answers to the questions buyers ask most during Workiz to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
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