CRM migration

Migrate from Workiz to Salesforce Sales Cloud

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 logo

Workiz

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

100%

8 of 8

objects map 1:1 between Workiz and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Workiz logo

Workiz

What's pushing teams away

  • Support wait times are long when something breaks mid-job, leaving dispatchers stuck with no resolution for hours.
  • Add-on pricing for online booking, call tracking, and automations inflates the monthly bill beyond the headline plan cost.
  • Limited workflow customization forces growing teams to work around the platform rather than adapt it to complex job types.
  • Mobile app crashes and lag disrupt field techs who rely on real-time job updates and client info on-site.
  • Pricing at higher tiers feels steep relative to competitors offering similar features at lower per-user rates.

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 Workiz objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Work Order (custom object)

1:1
Fully supported

Workiz 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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Workiz 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

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Workiz 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Workiz 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

maps to

Salesforce Sales Cloud

Order

1:1
Fully supported

Workiz 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

maps to

Salesforce Sales Cloud

Salesforce Files

1:1
Fully supported

Workiz 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)

maps to

Salesforce Sales Cloud

Custom fields on Work Order / Account

1:1
Fully supported

Workiz 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)

maps to

Salesforce Sales Cloud

Original_Create_Date__c / Original_Modified_Date__c (custom datetime)

1:1
Fully supported

Workiz 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.

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.

Workiz logo

Workiz gotchas

High

QuickBooks Online sync conflict during job import

High

Automations do not export or migrate

Medium

Jobs and estimates imported as separate flat files can create duplicates

Medium

GPS location history and call recordings are not exportable

Low

User permissions and roles do not transfer

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

  • Workiz automations do not migrate — they must be rebuilt in Salesforce Flow

    Workiz uses a rule-based automation engine with triggers, conditions, AND/OR logic, and time-based delays. Salesforce Flow operates on a fundamentally different automation model (triggered flows, scheduled flows, screen flows, autolaunched flows) that requires manual rebuild. Every Workiz automation — customer reminder notifications, tech routing rules, payment follow-ups, status-change alerts — must be recreated in Salesforce Flow by your admin. FlitStack AI exports all Workiz automation definitions as a structured reference document to accelerate the rebuild. This is not a data migration; it is a separate configuration project. Plan for it before go-live to avoid operational gaps.

  • Salesforce Field Service Lightning is a separate paid license — without it, there is no native Work Order scheduling UI

    Workiz's core value proposition is its scheduling board and GPS dispatch. Salesforce does not include these capabilities in standard Sales Cloud — they are part of Salesforce Field Service Lightning, which requires additional licensing and configuration. Without Field Service Lightning, Work Orders created by the migration will appear as standard CRM records with no dispatch board, no availability calendar, and no geocoded map view. Teams migrating from Workiz must decide during planning whether to add Field Service Lightning or accept a custom-built scheduling interface. FlitStack surfaces this decision point in the pre-migration schema plan so it does not surface as a post-migration surprise.

  • Workiz file attachments require extraction, re-upload, and file-size compliance

    Workiz stores file attachments (photos, signed documents, PDF invoices) as binary blobs tied to job and client records. Salesforce Files require files to be extracted from Workiz and uploaded individually, with a 25MB per-file limit. Jobs with multiple high-resolution photos, video attachments, or large PDF bundles may exceed this limit and require compression or chunking before Salesforce will accept them. FlitStack validates file sizes during the sample migration phase and flags any records that require pre-migration file preparation. Workiz attachments without files (text-only notes) migrate as Salesforce Notes with no size constraint.

  • Workiz custom fields require Salesforce custom field creation — naming conventions differ

    Workiz custom fields use free-form naming without a required suffix convention. Salesforce requires all custom fields to use the __c suffix and enforces unique API names across the entire org. A Workiz field named Priority on Job collides with Salesforce's internal Priority field on cases. FlitStack checks every Workiz custom field API name against the destination Salesforce org's field registry during the mapping phase and appends suffixes or renames fields to avoid conflicts. Custom fields on every object (Job, Client, Lead, Estimate, Invoice) are independently scoped in Salesforce, so a custom field name used in Workiz on multiple objects requires separate Salesforce custom fields on each target object.

  • Workiz GPS and address data is geocoordinate-based — Salesforce does not natively visualize field tech locations

    Workiz tracks field technician locations via GPS coordinates and assigns jobs based on proximity and availability using its Genius Scheduling engine. Salesforce has no native geolocation visualization for technician tracking or job dispatch optimization. Longitude and latitude data from Workiz can be stored as custom geolocation fields on the Work Order record, but Salesforce's standard reporting does not render these as a map view. Teams that rely on real-time GPS dispatch should plan for a Field Service Lightning setup or a third-party dispatch integration (via Salesforce AppExchange) post-migration to maintain operational parity with Workiz's scheduling intelligence.

Migration approach

Six steps for a successful Workiz to Salesforce Sales Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Workiz logo

Workiz

Source

Strengths

  • Real-time GPS tracking for every field tech on a shared map for fast dispatch decisions.
  • AI-powered scheduling that assigns jobs based on proximity, availability, and skill set.
  • Integrated phone system with call masking, recordings, and AI call insights linked to jobs.
  • Automations trigger on job status changes, client conditions, and timing to reduce manual follow-up.
  • Online payments via Workiz Pay allow field techs to collect payment on-site after job completion.

Weaknesses

  • Automations cap at 5 on Standard, 10 on Pro — workflow-heavy teams hit the ceiling quickly.
  • AI answering service cannot provide pricing information to callers, limiting its usefulness for quote requests.
  • QuickBooks Online integration requires caution: importing jobs while connected to QBO creates duplicate payment records.
  • Mobile app reliability issues (crashes, lag) have been reported by field techs working on-site.
  • No native export mechanism for GPS history, call recordings, or automation definitions.
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. 3 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 Workiz and Salesforce Sales Cloud.

  • Object compatibility

    B

    3 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

    Workiz: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Workiz 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 Workiz to Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Workiz to Salesforce migrations complete in 2-4 weeks from kickoff to go-live for under 25,000 records. Data extraction and validation from Workiz takes 3-5 days; schema setup and sample migration validation take another 3-5 days; the full migration run with delta-pickup takes 1-2 days. Complex setups with 100,000+ records, heavy custom field usage, or multi-location Workiz accounts extend to 3-4 weeks. The longest planning step is deciding whether to add Salesforce Field Service Lightning — that choice affects the schema phase timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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