CRM migration
Field-level mapping, validation, and rollback between Flowlu and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Flowlu
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 16
objects map 1:1 between Flowlu and Salesforce Sales Cloud.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Flowlu to Salesforce is a split migration because Flowlu bundles CRM and project management in one platform while Salesforce separates them. Flowlu's Projects, Tasks, and Agile boards have no native Salesforce equivalent, so we map them to a custom Project__c object with Tasks and use Salesforce native for CRM records. We extract Flowlu's cross-functional custom field schema across every object type before migration, create matching Salesforce custom fields in a Sandbox org, and validate type compatibility before production load. We do not migrate Workflow automations or webhook configurations as code; we deliver a written inventory with a recommended Salesforce Flow rebuild path for your admin. Engagement history, time entries, invoices, and Knowledge Base articles each require separate mapping strategies depending on whether the destination org has the relevant Salesforce feature licensed.
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 Flowlu 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.
Flowlu
Contact
Salesforce Sales Cloud
Contact
1:1Flowlu Contacts map to Salesforce Contact with a direct field-to-field mapping: name, email, phone, company association, and lifecycle stage. Flowlu's company link resolves to Salesforce AccountId via a lookup by company name or domain during import. We run deduplication on email as the primary key. Custom fields on Contacts are extracted per the Flowlu custom field schema and pre-created as typed Salesforce fields before import. Any Flowlu list or picklist fields map to Salesforce picklist fields with matching values.
Flowlu
Company
Salesforce Sales Cloud
Account
1:1Flowlu Companies map directly to Salesforce Account. Hub name, industry, website, address, and all custom fields migrate 1:1. The Account record must exist before Contact import so that AccountId is available for the Contact-company lookup at insert time. We resolve the lookup by matching company name and domain from Flowlu to Salesforce Account.
Flowlu
Opportunity
Salesforce Sales Cloud
Opportunity
1:1Flowlu Opportunities map to Salesforce Opportunity with stage, amount, probability, expected close date, owner, and all custom fields preserved. Flowlu's pipeline assignment maps to a Salesforce Record Type and Sales Process that we configure before migration. The pipeline stage name in Flowlu maps to the Opportunity StageName value in Salesforce. Custom fields on Opportunities (Flowlu's CRM objects with custom fields) migrate to custom Opportunity fields.
Flowlu
Pipeline
Salesforce Sales Cloud
Record Type + Sales Process
lossyFlowlu's CRM pipelines map to Salesforce Opportunity Record Types. Each Record Type gets a corresponding Sales Process that whitelists only the relevant stage values. We create the Record Type and Sales Process in the Sandbox org first, validate with the customer, then deploy to production. Multiple Flowlu pipelines map to multiple Salesforce Record Types so that stage values stay scoped per line of business.
Flowlu
Pipeline Stages
Salesforce Sales Cloud
Opportunity Stage
lossyIndividual stages within a Flowlu Pipeline map to Salesforce Opportunity StageName picklist values. Stage display order migrates, and stage-specific probability percentages map to StageProbability on the Sales Process. We round probability values to the nearest integer as Salesforce requires.
Flowlu
Project
Salesforce Sales Cloud
Project__c (custom object) or Jira / Asana
lossyFlowlu Projects are a core data type with no native Salesforce equivalent. We map to a custom Project__c object if the customer licenses Salesforce (with Salesforce Projects or a custom object) or recommends a dedicated PM tool. Project card data including stage, deadline, project manager, and budget migrate. We deliver a written decision document during scoping that explains the three paths: custom Project__c object with Salesforce Tasks, migration to Jira or Asana with a link record, or drop. The customer chooses before schema creation begins.
Flowlu
Task
Salesforce Sales Cloud
Task
1:1Flowlu Tasks map to Salesforce Task with name, description, status, assignee, due date, planned and actual time, and custom field values. If Projects migrate to a custom Project__c object, we preserve the parent-project relationship as a Lookup field on Task (Project__c). Task dependencies are flagged as a custom field dependency_chain__c since Salesforce does not have a native dependency model.
Flowlu
Invoice
Salesforce Sales Cloud
Invoice (custom object or Order)
1:1Flowlu Invoices map to Salesforce Invoice if the org has Salesforce Billing enabled, otherwise to a custom Invoice__c object. We map invoice date, due date, line items, totals, payment status, and issuer details. Flowlu invoices may reference closed Projects or tasks; if the Project was not migrated to Salesforce, the WhatId on the invoice is set to the related Account and flagged for manual review. Tax rates and payment terms carry over as custom fields.
Flowlu
Knowledge Base Articles
Salesforce Sales Cloud
Salesforce Knowledge or custom Knowledge__c
lossyFlowlu Knowledge Base articles map to Salesforce Knowledge only if the destination org has Service Cloud with Knowledge enabled and the admin has configured Data Categories. Article title, body content, and category assignment migrate. Articles linked to specific Flowlu Knowledge Base sections are flagged for manual relinking because Salesforce Knowledge does not have an equivalent section structure. If Salesforce Knowledge is not available, we map to a custom Knowledge__c object and deliver a data map for the customer to configure Salesforce Knowledge post-migration if they add the license.
Flowlu
Workflow Automations
Salesforce Sales Cloud
Salesforce Flow (written rebuild checklist)
lossyFlowlu Workflow automations do not migrate as code because Flowlu's object-triggered workflow model is structurally different from Salesforce Flow's record-triggered, scheduled, and screen flow variants. We extract a full JSON export of every active Flowlu workflow with its trigger conditions, actions, delays, and CRM object scope. We deliver a written inventory document mapping each Flowlu workflow to a recommended Salesforce Flow type (Record-Triggered Flow, Scheduled Flow, or Screen Flow) with a step-by-step rebuild guide for the customer's admin.
Flowlu
Agile Project
Salesforce Sales Cloud
Jira for Salesforce or Jira Cloud (parallel scope)
1:1Flowlu Agile Projects use sprints, backlogs, and an issue tracker separate from standard Projects. We do not migrate Agile data to Salesforce because Salesforce has no Agile Sprint or backlog model. We extract sprint assignments, backlog rank, issue priority, and story points and deliver a written data map for migration to Jira or a dedicated Agile tool. Jira for Salesforce (by ServiceRocket) is an option for teams that want the backlog visible inside Salesforce.
Flowlu
Custom Fields
Salesforce Sales Cloud
Custom Fields (Account, Contact, Opportunity, Task, custom objects)
lossyFlowlu Custom Fields attach to Projects, Tasks, Opportunities, Contacts, Companies, Knowledge Base items, and Agile Issues. We extract the complete custom field schema per object type, including field type (text, number, date, list, checkbox, dropdown), required flag, and any conditional visibility rules. Each field is pre-created in Salesforce before data import begins. Mis-matched field types (Flowlu list fields vs Salesforce free-text) are flagged for manual review during scoping. Required field violations can block Salesforce inserts; we handle with either a temporary required-field override during migration or a manual review queue.
Flowlu
Time Entry
Salesforce Sales Cloud
Task (with billable flag)
1:1Flowlu Time Entries map to Salesforce Task records linked to the parent Project custom object (if applicable) and the relevant Task. We map entry date, duration in minutes, user by email lookup, task and project references, and the billable flag as a custom Task field billable__c. Billable time totals reconcile against Flowlu's time tracking report during validation.
Flowlu
User
Salesforce Sales Cloud
User
1:1Flowlu Users with roles (Admin, Manager, Member) and team memberships map to Salesforce User records by email match. Owner assignments on Contacts, Opportunities, and Tasks resolve via the User mapping. Any Flowlu User without a matching Salesforce User is held in a reconciliation queue for the customer's admin to provision before record import proceeds.
Flowlu
Tag
Salesforce Sales Cloud
Multi-Select Picklist or Topic
lossyFlowlu Tags stored as multi-checkbox properties on Contacts, Companies, or Opportunities map to Salesforce multi-select picklist fields. Tags used for classification migrate to Salesforce Topics with TopicAssignment records. The customer selects the tag strategy during scoping: multi-select picklist is simpler and works for most use cases; Topics require a Topic-enabled org.
Flowlu
Invoices (historical)
Salesforce Sales Cloud
Custom Invoice__c object or Salesforce Invoice
1:1Flowlu invoices can reference closed Projects or tasks that may not exist in Salesforce. We map the invoice header (date, due date, issuer, totals, payment status) and line items to Salesforce Invoice or a custom Invoice__c object. If the related Account exists in Salesforce, we link via AccountId. Line item references to Flowlu-only Projects or tasks are set to null and flagged for manual reconciliation post-migration.
| Flowlu | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Pipeline Stages | Opportunity Stagelossy | Fully supported | |
| Project | Project__c (custom object) or Jira / Asanalossy | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Invoice | Invoice (custom object or Order)1:1 | Fully supported | |
| Knowledge Base Articles | Salesforce Knowledge or custom Knowledge__clossy | Mapping required | |
| Workflow Automations | Salesforce Flow (written rebuild checklist)lossy | Fully supported | |
| Agile Project | Jira for Salesforce or Jira Cloud (parallel scope)1:1 | Fully supported | |
| Custom Fields | Custom Fields (Account, Contact, Opportunity, Task, custom objects)lossy | Mapping required | |
| Time Entry | Task (with billable flag)1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Tag | Multi-Select Picklist or Topiclossy | Fully supported | |
| Invoices (historical) | Custom Invoice__c object or Salesforce Invoice1:1 | 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.
Flowlu gotchas
Free tier contact cap is a hard migration target
Automations and integrations must be rebuilt after migration
No refunds on paid subscriptions after billing period starts
Custom Fields on multiple object types require field-level mapping
API rate limits are not publicly documented
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
Discovery and migration decision scoping
We audit the source Flowlu account across plan tier, custom field schema per object type, pipeline count, project and task volumes, invoice count, Knowledge Base article count, and active workflow count. We pair this with a destination Salesforce edition review and the Project/Task decision (custom object, Jira, or drop). The discovery output is a written migration scope document that lists every object, record count estimate, custom field inventory, and the chosen strategy for Projects, Tasks, and Knowledge Base articles. We do not begin schema creation until the customer confirms the Project/Task strategy.
Destination schema design in Salesforce Sandbox
We design the destination schema in a Salesforce Sandbox (Full Copy or Partial Copy). This includes provisioning custom objects for Projects if applicable, custom fields per the Flowlu field schema, Record Types and Sales Processes per Flowlu pipeline, multi-select picklists for tags, and any validation rules scoped to the migration user. We create all fields with correct types (text, number, date, picklist, checkbox, multi-select picklist) before any data import. The Sandbox migration runs with production-like data volume for reconciliation before production migration begins.
Sandbox migration and customer reconciliation
We run a full migration into the Sandbox with the confirmed schema. The customer's admin and RevOps lead reconcile record counts (Accounts, Contacts, Opportunities, Projects, Tasks, Invoices), spot-check 25-50 records per object type against the Flowlu source, and validate that field values, stage names, owner assignments, and custom field content are correct. Any mapping corrections, missing fields, or duplicate-handling decisions happen here before production migration begins. We do not run production migration until the Sandbox sign-off is received in writing.
Owner reconciliation and User provisioning
We extract every distinct Flowlu User referenced on Contacts, Companies, Opportunities, Projects, Tasks, and Invoices and match by email against the destination Salesforce org's User table. Any Flowlu User without a matching Salesforce User is held in a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive depending on whether the original Flowlu user is still employed) before migration resumes. OwnerId references are required on most standard Salesforce objects, so this step gates all downstream imports.
Production migration in dependency order
We run production migration in record-dependency order: Accounts first (from Flowlu Companies), then Contacts with AccountId resolved, Opportunities with AccountId, RecordTypeId, and OwnerId resolved, Pipeline Stages configured before Opportunities, Projects and Tasks if applicable (with Project__c Lookups resolved), Invoices with AccountId resolved, Time Entries as Tasks, Knowledge Base articles to Salesforce Knowledge or custom object, then Custom Field data populated for all records. Each phase emits a row-count reconciliation report and an error log before the next phase begins. Bulk API chunking handles volumes above 50,000 records.
Cutover, delta migration, and automation rebuild handoff
We freeze writes to Flowlu during cutover, run a final delta migration of records modified during the migration window, then enable Salesforce as the system of record. We deliver the automation rebuild checklist (JSON export of all Flowlu workflows with Salesforce Flow rebuild steps), the Project/Task decision document, and the Knowledge Base reconfiguration guide if Salesforce Knowledge was not enabled. We support a one-week hypercare window for reconciliation issues raised by the customer's team. We do not rebuild Flowlu Workflows as Salesforce Flow or migrate Projects to Jira within the migration scope; those are separate engagements.
Platform deep dives
Flowlu
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Flowlu and Salesforce Sales Cloud.
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
Flowlu: Not publicly documented.
Data volume sensitivity
Flowlu 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
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